N-92026-2027 GRA Appendix 12 A-C - Cost of Service Study Process - Redacted
41 passages
NON-CONFIDENTIAL 1 Request DR-9: 2 3 If Nova Scotia Power has adopted any form of an adjusted net load metric (e.g., load minus 4 intermittent resources), please provide the following information: 5 6 (a) The adjusted net load, by hour, fo...
AI summary Nova Scotia Power was asked to provide information on its adjusted net load metric, including historical data, formula, usage, and development basis. The response indicates that the adjusted net load is not used in standard operations or planning, except for ad hoc analysis, and that wind generation is considered in short-term resource adequacy assessments.
COSS CA DR-9 Attachment 1 Page 45 of 627 Start Time End Time ANL_MW 5/9/2019 9:00 5/9/2019 10:00 5/9/2019 10:00 5/9/2019 11:00 883.2 889.2 5/9/2019 11:00 5/9/2019 12:00 880.5 5/9/2019 12:00 5/9/2019 13:00 874.0 5/9/2019 13:00 5/9/2019 14:0...
AI summary The document provides a table of apparent energy load (ANL_MW) data recorded over multiple time intervals on May 9th to May 12th, 2019. This data appears to be related to energy usage and may be used for analysis in a regulatory proceeding.
COSS CA DR-9 Attachment 1 Page 52 of 627 Start Time End Time ANL_MW 5/29/2019 19:00 5/29/2019 20:00 5/29/2019 20:00 5/29/2019 21:00 1151.7 1169.2 5/29/2019 21:00 5/29/2019 22:00 1179.5 5/29/2019 22:00 5/29/2019 23:00 1106.6 5/29/2019 23:00...
AI summary This document presents a table with timestamps and corresponding Apparent Energy Load in Megawatts (ANL_MW) values, likely representing energy usage data over a specific period. It appears to be part of a regulatory proceeding, possibly related to energy load analysis or system performance evaluation.
COSS CA DR-9 Attachment 1 Page 53 of 627 Start Time End Time ANL_MW 6/1/2019 17:00 6/1/2019 18:00 995.8 6/1/2019 18:00 6/1/2019 19:00 1014.7 6/1/2019 19:00 6/1/2019 20:00 1016.5 6/1/2019 20:00 6/1/2019 21:00 1040.3 6/1/2019 21:00 6/1/2019...
AI summary The document presents a table with timestamps and corresponding ANL_MW values, likely representing load data or energy demand over a specific period in June 2019. The data shows fluctuations in energy usage across multiple time intervals.
COSS CA DR-9 Attachment 1 Page 86 of 627 Start Time End Time ANL_MW 9/5/2019 23:00 9/6/2019 0:00 867.1 9/6/2019 0:00 9/6/2019 1:00 810.8 9/6/2019 1:00 9/6/2019 2:00 775.8 9/6/2019 2:00 9/6/2019 3:00 758.0 9/6/2019 3:00 9/6/2019 4:00 753.9...
AI summary The document presents a table showing the start and end times of an event along with the associated ANL_MW values, indicating a time-series dataset related to energy or power analysis.
COSS CA DR-9 Attachment 1 Page 175 of 627 Start Time End Time ANL_MW 5/22/2020 13:00 5/22/2020 14:00 5/22/2020 14:00 5/22/2020 15:00 711.4 732.3 5/22/2020 15:00 5/22/2020 16:00 717.9 5/22/2020 16:00 5/22/2020 17:00 711.4 5/22/2020 17:00 5/...
AI summary The document presents a table with time intervals and corresponding ANL_MW values, likely representing energy demand or load data over a specific period in May 2020. It also references a partially confidential appendix from a regulatory proceeding related to the 2026-2027 GRA Direct Evidence.
COSS CA DR-9 Attachment 1 Page 283 of 627 Start Time End Time ANL_MW 4/2/2021 13:00 4/2/2021 14:00 1240.0 4/2/2021 14:00 4/2/2021 15:00 1244.4 4/2/2021 15:00 4/2/2021 16:00 1258.6 4/2/2021 16:00 4/2/2021 17:00 1304.2 4/2/2021 17:00 4/2/202...
AI summary The text provides a table of apparent load in megawatts (ANL_MW) recorded at various time intervals on April 2, 2021, and April 3, 2021. It shows fluctuations in energy demand throughout the day, with peak loads occurring in the late afternoon and early evening.
COSS CA DR-9 Attachment 1 Page 293 of 627 Start Time End Time ANL_MW 5/1/2021 17:00 5/1/2021 18:00 857.7 5/1/2021 18:00 5/1/2021 19:00 850.8 5/1/2021 19:00 5/1/2021 20:00 906.1 5/1/2021 20:00 5/1/2021 21:00 973.8 5/1/2021 21:00 5/1/2021 22...
AI summary The text presents a table of data showing the start and end times of a specific event along with corresponding ANL_MW values, indicating energy consumption or demand over a period of time on May 1, 2021, and May 2, 2021.
COSS CA DR-9 Attachment 1 Page 344 of 627 Start Time End Time ANL_MW 9/27/2021 11:00 9/27/2021 12:00 979.9 9/27/2021 12:00 9/27/2021 13:00 926.6 9/27/2021 13:00 9/27/2021 14:00 885.1 9/27/2021 14:00 9/27/2021 15:00 810.6 9/27/2021 15:00 9/...
AI summary This text presents a table of time-stamped data showing the ANL_MW (apparent energy load in megawatts) over a period of September 27 to September 29, 2021. The data reflects fluctuations in energy demand across different hours, indicating patterns in electricity usage during this timeframe.
COSS CA DR-9 Attachment 1 Page 345 of 627 Start Time End Time ANL_MW 9/30/2021 9:00 9/30/2021 10:00 1085.5 9/30/2021 10:00 9/30/2021 11:00 1130.3 9/30/2021 11:00 9/30/2021 12:00 1154.3 9/30/2021 12:00 9/30/2021 13:00 1148.3 9/30/2021 13:00...
AI summary The document presents a table with timestamps and corresponding ANL_MW values, likely representing energy demand or generation data over a specific period in October 2021. The data appears to be part of a regulatory proceeding related to energy management and system performance.
COSS CA DR-9 Attachment 1 Page 346 of 627 Start Time End Time ANL_MW 10/3/2021 7:00 10/3/2021 8:00 1004.4 10/3/2021 8:00 10/3/2021 9:00 1035.8 10/3/2021 9:00 10/3/2021 10:00 1079.8 10/3/2021 10:00 10/3/2021 11:00 1099.1 10/3/2021 11:00 10/...
AI summary The text presents a table with timestamps and corresponding ANL_MW values, likely representing energy demand or generation data over a 24-hour period on October 3rd and 4th, 2021. The data appears to be part of a regulatory proceeding related to energy management or system performance.
COSS CA DR-9 Attachment 1 Page 419 of 627 Start Time End Time ANL_MW 5/4/2022 5:00 5/4/2022 6:00 5/4/2022 6:00 5/4/2022 7:00 1019.2 1066.0 5/4/2022 7:00 5/4/2022 8:00 1138.4 5/4/2022 8:00 5/4/2022 9:00 1192.4 5/4/2022 9:00 5/4/2022 10:00 1...
AI summary The document contains a table of hourly energy demand data (ANL_MW) for specific dates in May 2022, indicating fluctuations in electricity usage over time. It also references a partially confidential appendix from a regulatory proceeding related to the GRA (likely a regulatory body or program).
Start Time End Time ANL_MW
AI summary This table lists the start and end times along with the Apparent Net Load in megawatts (ANL_MW), indicating the time intervals and corresponding load values.
COSS CA DR-9 Attachment 1 Page 548 of 627 Start Time End Time ANL_MW 5/15/2023 11:00 5/15/2023 12:00 5/15/2023 12:00 5/15/2023 13:00 851.3 815.0 5/15/2023 13:00 5/15/2023 14:00 782.5 5/15/2023 14:00 5/15/2023 15:00 741.7 5/15/2023 15:00 5/...
AI summary The document contains a table with time-stamped data on ANL_MW values, indicating energy usage or load measurements over a specific period from May 15 to May 18, 2023. This data is likely part of a regulatory proceeding related to energy management or utility operations.
COSS CA DR-9 Attachment 1 Page 562 of 627 Start Time End Time ANL_MW 6/25/2023 7:00 6/25/2023 8:00 778.2 6/25/2023 8:00 6/25/2023 9:00 773.1 6/25/2023 9:00 6/25/2023 10:00 848.3 6/25/2023 10:00 6/25/2023 11:00 916.5 6/25/2023 11:00 6/25/20...
AI summary The document provides a detailed table of time intervals and corresponding ANL_MW values, likely representing load or generation data for a specific date range in June 2023. These figures may be used for analysis of energy demand or system performance during this period.
COSS CA DR-9 Attachment 1 Page 569 of 627 Start Time End Time ANL_MW 7/15/2023 17:00 7/15/2023 18:00 7/15/2023 18:00 7/15/2023 19:00 1254.1 1215.3 7/15/2023 19:00 7/15/2023 20:00 1191.0 7/15/2023 20:00 7/15/2023 21:00 1149.3 7/15/2023 21:0...
AI summary This document contains a table with time-stamped data showing the start and end times of specific events, along with corresponding values for ANL_MW. The data appears to be related to energy usage or generation over a period of several days in July 2023. A section labeled 'PARTIALLY CONFIDENTIAL 2026-2027 GRA Direct Evidence Appendix 12A(2)' is also mentioned, indicating that some information has been redacted.
COSS CA DR-9 Attachment 1 Page 582 of 627 Start Time End Time ANL_MW 8/22/2023 15:00 8/22/2023 16:00 8/22/2023 16:00 8/22/2023 17:00 1154.3 1187.9 8/22/2023 17:00 8/22/2023 18:00 1203.8 8/22/2023 18:00 8/22/2023 19:00 1163.8 8/22/2023 19:0...
AI summary The document contains a table with time-stamped data showing ANL_MW values for multiple intervals between August 22 and August 25, 2023. The data appears to represent energy or load measurements over time.
1 3 5 - 4 (d) Please refer to Confidential Attachment 2. - 6 (e) Please refer to Confidential Attachment 3 for thermal unit and Wreck Cove unit status. 7 Small hydro unit status not readily available. Unit status acronyms and corresponding...
AI summary The text references confidential attachments and discusses the status of thermal units, Wreck Cove unit, and small hydro units, noting that small hydro unit status is not readily available. It also mentions unit status acronyms and descriptions in a table.
Cost of Service Study Process (NSUARB M11475) NSPI Responses to CA Data Requests 1 Request DR-84: 2 3 Reference: Information requests were made of NS Power by John Wilson on behalf of the 4 Consumer Advocate in his memo "Outstanding Reques...
AI summary The document discusses the methodology for classifying the costs of energy and demand based on operating factors, specifically for units with high and low operating factors. It highlights challenges related to existing hydro resources and the need for further discussion on water supply limitations. The operating factor is defined using NERC guidelines.
COSS IG DR-10 Attachment 1 Page 1 of 6 Determination of Unit Avoided Marginal Annual Cost of Load Served ($/kW, in 1994 Annual Cost of Load Served ($/kW, in 1994 Annual Avoided Cost rounded to nearest dollar in 1996 % Change from 1996 Benc...
AI summary The document presents calculations related to interruptible credit and annual cost of load served for different years, including comparisons between 1996 and test years 2022-2024. It includes figures on avoided costs, revenue credits, and demand coincident with system peaks. These calculations are used to evaluate financial impacts and system reliability.
1 Request DR-12: 2 - 3 Please provide an average energy price estimate (i.e. on a per MWh basis) based on the - 4 avoided cost of fuel at NSPI's highest 50 peak hours. Please provide the same for the avoided - 5 cost of fuel at NSPI's high...
AI summary The request asks for average energy price estimates based on avoided fuel costs during peak hours for NSPI. NS Power responded with data from PLEXOS simulations, excluding renewable generation and assuming a no-PHP scenario for 2025.
Cost of Service Study Process (NSUARB M11475) NSPI Responses to PHP Data Requests 1 Request DR-13: 2 3 Please provide the following data for every monthly CP over the past five years (2019-2023): 4 5 (a) System Peak without PHP's load 6 7...
AI summary NSPI provided responses to data requests related to the Cost of Service Study (COSS) process, including system peak data with and without PHP's load, customer class demand, and details about emergency or reliability events during critical periods. The data is sourced from the Load Research Sample (LRS) and AMI data, with some customer classes fully sampled.
COSS SBA DR-6 Attachment 1 Page 8 of 24 413250 REG RES ACCRUED FAM BA FUEL COST 413310 REG METERED OUTDOOR REC LIGHTS NON FUEL ENERGY 413330 REG METERED OUTDOOR REC LIGHTS FAM AA FUEL COST 413350 REG METERED OUTDOOR REC LIGHTS DSM COST REC...
AI summary The text lists various regulatory account codes related to fuel costs, energy usage, and cost recovery riders for different customer categories and usage types, including time-of-use and small generation. These codes are part of a financial and regulatory framework for Nova Scotia Power.
Demand, Energy & Peak Demand – Cost Causality (Illustrative hourly demand)
AI summary The document presents illustrative hourly demand data related to cost causality in the context of demand, energy, and peak demand. Visual representations such as figures and pictures are included to support the analysis.
Evergreen IRP – Key Assumptions Load - NS Power is planning for a growing electricity system load, consistent with what is being forecast across many jurisdictions as part of the coming energy transition. - NS Power's Load Forecasting proc...
AI summary NS Power is forecasting a growing electricity system load due to the energy transition, incorporating electrification effects and using data from Energy + Environmental Economics (E3). Energy efficiency, demand response, and managed EV charging are considered to mitigate increased demand.
Energy arbitrage is the opportunity to shift load to lower-priced hours - Currently, shifting demand from a 4-hour peak period to the surrounding four hours rarely saves much cost because marginal costs don't change much - Battery storage...
AI summary Energy arbitrage involves shifting load to lower-priced hours. However, shifting demand from a 4-hour peak period to surrounding hours rarely saves much cost due to minimal changes in marginal costs. Battery storage and time-varying pricing are tools that can help capitalize on cost differences.
2. Definition of POD Method The NB Power evidence defines the POD method as allocating "the energy classified costs by looking at the cost of providing energy in each hour instead of assuming that each kilowatt-hour served throughout the y...
AI summary The document defines the POD method, which allocates energy classified costs based on hourly dispatch and probability of dispatch. E3 suggests improvements, such as including operating reserves and excluding dispatch for exports and interruptible loads. The method requires significant data and process changes for full implementation.
PHP and NS Power Coordination - § Unique Load Characteristics support the need for PHP as a standalone customer class - §Active Demand Control by NSP - §Ramped up to optimize system dispatch (e.g. avoid renewable curtailment) - §Ramped dow...
AI summary The document discusses the unique load characteristics of PHP (a customer class) and how NS Power manages it through active demand control, scheduling, and priority interruptible load to optimize system dispatch, avoid renewable curtailment, and ensure reliability.
Hypothesis - Methods to evaluate energy delivered and annual energy losses Network segment Method 1 Method 2 Transmission Lines PSSe simulations using 8760 data Power Transformers Inventory calculations PSSe simulations using 8760 data Dis...
AI summary The text outlines methods to evaluate energy delivered and annual energy losses across different network segments, using simulation tools like PSSe and CYME, along with inventory calculations. The goal is to compute loss allocation per customer type with a certain level of accuracy.
- o Top-Up Capacity Service provision of capacity to support energy delivery through the energy balancing service in respect of imbalance between load and generation. 2023 2024 Variance Administration Charge ($/customer/month $ 374.89 $ 38...
AI summary The document outlines the Top-Up Capacity Service, which provides capacity to support energy delivery through the energy balancing service, addressing imbalances between load and generation. It includes a table showing administration and demand charges for 2023 and 2024, with a variance in administration charges.
Pricing of Energy Balancing and Standby Demand Services: Wholesale vs Retail Markets
AI summary The document discusses the pricing of energy balancing and standby demand services in both wholesale and retail markets. It includes figures and visual representations that likely illustrate the differences and considerations in these market segments.
Simulated Energy Balancing and Standby Demand Costs Compared: Wholesale vs RtR Markets Bottom Energy Block Charges Usage Revenue (c/kWh or $/kW) Amount c/kWh Monthly Load Factor 50.0% BUTU & SPILL Wholesale Market Annual Energy Topup (MWhs...
AI summary The document compares simulated energy balancing and standby demand costs in wholesale and retail (RtR) markets. It highlights differences in annual energy topup, spill, and revenue, with the retail market showing a 166.2% variance compared to the wholesale market.
Methods to evaluate energy delivered and annual energy losses Network segments Methodology Transmission Lines PSS/E software simulations using 8760 data Substations Power Transformers No-Load Losses Inventory calculations Substations Power...
AI summary The document outlines methods to evaluate energy delivered and annual energy losses across various network segments, including the use of software simulations, inventory calculations, and model calibrations based on industry reports.
- Annual losses derived by converting peak demand losses over 8,760 hours based on loss factor Configuration Total Energy Loss Energy Loss % ~ Class Padmount (GWh) Pole-mounted (GWh) Vault (GWh) (GWh) Energy Loss % Demand Loss % (1) DOMEST...
AI summary The text discusses annual energy losses derived from peak demand over 8,760 hours, categorized by different classes and configurations such as padmount, pole-mounted, and vault. Energy loss percentages and total energy loss in gigawatt-hours are provided for each class.
Total Energy Losses = ∑ Segment Losses (1) kWH SALES (2) ANNUAL ENERGY PER CUSTOMER (GWh) (3) LOSS ALLOCATION FACTOR (%) (4) TRANSMISSION ENERGY LOSS (GWh) (5) TRANSMISSION ENERGY LOSS (%) (6) DISTRIBUTION ENERGY LOSS (GWh) (7) DISTRIBUTIO...
AI summary The document presents a detailed breakdown of total energy losses across various customer segments, including domestic, industrial, and municipal, with percentages of losses attributed to transmission, distribution, secondary systems, and non-technical factors. It highlights the allocation of losses and their impact on different customer groups.
Results Class (1) ENERGY LINE LOSS (2023) % (2) DEMAND UNE LOSS % (3) ENERGY LINE LOSS (2026) % (2) DEMAND LINE LOSS % (1) RESIDENTIAL 9.1% 15.9% 7.8% 14.0% (5) SMALL GENERAL 8.4% 12.7% 8.7% 11.9% (8) GENERAL 5.7% 8.3% 8.2% 10.8% (11) GENE...
AI summary The document presents a table showing line loss percentages for different classes of energy and demand across years 2023 and 2026. The data reflects varying losses across residential, industrial, and municipal categories, highlighting differences in efficiency and performance.
Table 2 – Fuel and Purchases Classification Utility Fuel Purchases BC Hydro Either 100% energy or the Value of Capacity (88.6% energy). Varies by type of generation Value of Capacity (92% energy) SaskPower 100% Energy Contracted capacity a...
AI summary The text presents a table comparing how different utilities classify fuel and purchases, with a focus on the distribution between energy and demand components. Nova Scotia Power and other utilities are categorized based on their generation and purchase types, highlighting variations in energy and demand classifications.
Power System Line Loss Study Technical Report
AI summary The document is a technical report titled 'Power System Line Loss Study' which analyzes line loss in the power system. It provides detailed insights into the efficiency and performance of the power grid.
REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2026-2027 GRA Direct Evidence Appendix 12C Page 8 of 25 Power System Line Loss Study Technical Report Methodology to Compute Loss Allocation Factors Transformer losses – Comprised of loa...
AI summary This document outlines the methodology for computing loss allocation factors in a power system line loss study, focusing on transformer losses, which include load losses (copper losses) and no-load losses (hysteresis and eddy-current losses). Power and energy losses are quantified in kilowatts and kilowatt-hours, respectively.
$52.55 \times 0.316 \times 8760 = 145 \, GWh$ This corresponds to 1.75% of total annual energy consumption, providing a quantifiable estimate of the distribution system energy loss. In addition to distribution system load losses, substatio...
AI summary The document calculates annual distribution system energy loss at 145 GWh, representing 1.75% of total annual energy consumption. Additional no-load losses from substation transformers were estimated at 1,780 kW, contributing 0.10% of demand loss and 0.19% of total annual energy loss, though they are relatively small.
7.1 Energy loss allocation factors The calculation of annual energy losses is based on the contribution of each customer class to energy losses across different network segments (Transmission, Distribution, Secondary and Non-Technical). Si...
AI summary The document outlines how energy losses are allocated to different customer classes based on their connection points in the power network. Each class is assigned a portion of losses in specific segments, such as transmission, distribution, and non-technical losses, based on their proportional energy consumption at each voltage level.
N-142026-2027 GRA OP 01-15 - Redacted
34 passages
Seasonal Nature of Operations Interim results are not necessarily indicative of results for the full year, primarily due to seasonal factors. Electricity sales and related generation vary over the year. The first quarter is typically the s...
AI summary The document highlights the seasonal nature of electricity sales and generation, noting that interim results may not reflect annual performance due to seasonal factors such as colder weather and fewer daylight hours in winter, which typically boost electricity demand.
Other Electric Utilities Other Electric Utilities' USD earnings in 2025 are expected to be consistent with the prior year. In 2025, capital investment in the Other Electric Utilities segment is expected to be approximately $140 million USD...
AI summary Other Electric Utilities' USD earnings in 2025 are expected to remain consistent with the prior year, with capital investment projected at approximately $140 million USD, including AFUDC, focused on more efficient and cleaner generation sources such as renewables and battery storage.
Nature of Operations Emera Incorporated ("Emera" or the "Company") is an energy and services company that invests in electricity generation, transmission and distribution, and gas transmission and distribution. At June 30, 2025, Emera's re...
AI summary Emera Incorporated is an energy and services company with operations in electricity generation, transmission, distribution, and gas utilities. It has several reportable segments, including Florida Electric Utility, Canadian Electric Utilities, Gas Utilities and Infrastructure, and Other Electric Utilities, with various subsidiaries and equity interests in different regions.
Total Heating Value - a) No natural gas received or delivered shall have a Total Heating Value below 36 MJ/m3 or above 41 MJ/m3 - b) The Total Heating Value shall be determined by gas chromatographic analysis using most recent AGA standard...
AI summary The document sets standards for the Total Heating Value of natural gas, specifying a range between 36 MJ/m3 and 41 MJ/m3, and outlines methods for determining this value, including gas chromatographic analysis and mutual agreement between the customer and pipeline.
Emera at a Glance $7.6 B 2022 revenue 1 6 High-quality regulated utilities $40 B total assets1 41% reduction in CO 2 emissions since 2005 1 60%+ capital plan committed to cleaner, reliable energy 68 % reduction in use of coal in generation...
AI summary Emera, a company with six high-quality regulated utilities, reported a 2022 revenue of $7.6 billion and total assets of $40 billion. It has reduced CO2 emissions by 41% since 2005 and plans a $8.9 billion capital investment from 2024 to 2026, with 75% focused in Florida. The company aims for a 10.0% annualized 10-year total shareholder return and has committed 60% of its capital plan to cleaner, reliable energy.
Load Growth through Electrification - Florida has the second highest penetration of EVs in the US - In Nova Scotia, incentives for heat pump adoption are accelerating conversion of home heating from oil to electric
AI summary The document discusses load growth through electrification, highlighting Florida's high EV penetration and Nova Scotia's incentives for heat pump adoption, which are accelerating the shift from oil-based home heating to electric systems.
OUR STRATEGIC PRIORITIES Always leading with Health & Safety Advancing Cleaner Energy towards our Net-Zero Vision Enhancing Reliability Driving Innovation Empowering our Teams & Communities Always Working to Minimize Cost Impacts for Custo...
AI summary The document outlines the strategic priorities of Nova Scotia Power Inc., emphasizing health and safety, cleaner energy initiatives, reliability, innovation, team empowerment, and minimizing cost impacts for customers.
Our world is changing quickly, and we're ready Our proven strategy has been driving our growth for nearly two decades. Our strategic focus balances our efforts to deliver cleaner energy with critical reliability investments, without overlo...
AI summary The text highlights the company's strategy of balancing clean energy initiatives with reliability investments and cost management, emphasizing its readiness to address industry trends such as decarbonization, decentralization, and digitalization.
Nova Scotia's 2030 Clean Power Plan In October 2023, the Nova Scotia provincial government announced its Clean Power Plan The plan outlines how the province will phase out coal and reach 80% renewable energy by 2030 The Province's plan inc...
AI summary Nova Scotia's 2030 Clean Power Plan aims to phase out coal and achieve 80% renewable energy by 2030. Key elements include increasing wind and solar energy, importing hydroelectricity from Muskrat Falls, incorporating grid-scale batteries, adding natural gas generation, and building a new transmission line to New Brunswick.
Nova Scotia Power Regulated integrated electric utility serving the province of Nova Scotia. Nova Scotia Power is delivering one of the most ambitious clean energy transitions in Canada and is an industry leader in GHG reductions in the co...
AI summary Nova Scotia Power is a regulated integrated electric utility serving Nova Scotia and is leading a significant clean energy transition in Canada, with a focus on reducing greenhouse gas emissions.
Emera at a Glance $7.6 B 2023 revenue 1 High-quality regulated utilities $39 B total assets1 47 % reduction in CO 2 emissions since 2005 1 62 % of capital plan committed to cleaner, reliable energy 77 % reduction in use of coal in generati...
AI summary Emera provides an overview of its financial and operational highlights, including revenue, total assets, CO2 emissions reduction, capital plan commitments, and dividend growth targets. The company emphasizes its focus on clean energy and regulated utilities, with a significant portion of its capital plan allocated to Florida.
Load Growth through Electrification - Florida has the second highest penetration of EVs in the US - In Nova Scotia, incentives for heat pump adoption are accelerating conversion of home heating from oil to electric
AI summary The text discusses load growth through electrification, highlighting Florida's high EV penetration and Nova Scotia's incentives for heat pump adoption, which are accelerating the shift from oil-based home heating to electric heating.
NSPI - In January 2024, NSPI filed a proposal with the regulator for the Province to acquire $117M of the FAM balance. Providing timely recovery and easing customer burden - On February 23, 2024, Nova Scotia Clean Electricity Solutions Tas...
AI summary NSPI proposed the Province acquire $117M of the FAM balance in January 2024 to provide timely recovery and ease customer burden. The Nova Scotia Clean Electricity Solutions Task Force issued its final report on February 23, 2024.
Load Growth through Electrification - Florida has the second highest penetration of EVs in the US - In Nova Scotia, incentives for heat pump adoption are accelerating conversion of home heating from oil to electric 1 Based on 2023 adjusted...
AI summary The chunk discusses load growth through electrification, noting Florida's high EV penetration and Nova Scotia's incentives for heat pump adoption, which are accelerating the shift from oil to electric heating. It includes figures and a note about adjusted net income and corporate exclusions.
Nova Scotia Power and Tampa Electric 1,2 % OF GWh GENERATION 3 - 80% reduction in coal generation by 2025 4 - Renewables will increase to 26% in 2025 more than a 5x increase over 2005 levels - Natural gas will displace coal and be used as...
AI summary The text discusses Nova Scotia Power's and Tampa Electric's energy generation plans, including an 80% reduction in coal generation by 2025, a significant increase in renewable energy to 26% by 2025, and the use of natural gas as a transition fuel to support intermittent renewables.
Load Growth through Electrification - Florida has the second highest penetration of EVs in the US - In Nova Scotia, incentives for heat pump adoption are accelerating conversion of home heating from oil to electric 1 Based on 2023 adjusted...
AI summary The document discusses load growth through electrification, highlighting Nova Scotia's efforts to increase heat pump adoption and the impact of electric vehicle penetration in Florida. It also references financial data, including adjusted net income and earnings per share.
EV awareness Intelligence on EV power demand and supply
AI summary The document discusses intelligence related to electric vehicle (EV) power demand and supply, highlighting the need for understanding how EVs impact the electricity grid and the infrastructure required to support them.
Electricity Demand Growth (TWh) "In energy history, we've witnessed the age of coal and the age of oil" "We're now moving at speed into the age of electricity." Fatih Birol Executive Director, IEA Growth of 1,000 TWh by 2035
AI summary The text discusses the projected growth of global electricity demand, highlighting a forecast of 1,000 TWh increase by 2035. It references the International Energy Agency (IEA) and its Executive Director, Fatih Birol, who notes the transition from the age of coal and oil to the age of electricity.
Robust Growth In Tampa Florida's positive economic outlook paired with record population growth in the region is driving strong demand for Electric and Gas services. 26% Hillsborough County Tampa population growth 2010-2024 2 43% Tampa reg...
AI summary Florida's positive economic outlook and record population growth in the Tampa region are driving strong demand for Electric and Gas services. Hillsborough County has experienced 26% population growth from 2010 to 2024, while the Tampa region's GDP has grown by 43% from 2020 to 2024. Tampa Electric has seen 2% customer growth.
Strong Foundation for Growth at Peoples Gas Largest natural gas distribution company in Florida ~73% of Florida's electricity generation comes from natural gas 1
AI summary Peoples Gas is highlighted as the largest natural gas distribution company in Florida, with approximately 73% of the state's electricity generation coming from natural gas.
Top 5 Serving the five largest metropolitan areas in Florida Peoples Gas Service Areas 21 Military Installations 16 Seaports 2 Spaceports Electrification and Population Growth Driving Demand in Nova Scotia 3.4% Annual growth rate for Elect...
AI summary The text highlights Nova Scotia's growing demand for electricity driven by electrification and population growth, with key statistics such as a 3.4% annual growth rate for electric heat pump installations and a target of 30% zero-emission vehicle sales by 2030. It also mentions projected population growth rates through 2030 and 2060.
Investing In Our Teams & Communities $12M Invested in our communities in 2023 45% of senior leaders 1 at Emera Inc. are women – 36% across Emera Recognized as one of Canada's Best Diversity Employers for 2024 Committed to World Class Safet...
AI summary Emera Inc. invested $12M in communities in 2023, with 45% of senior leaders being women. The company achieved a 3% decrease in OSHA injury rate and a 24% improvement in LTI over a 5-year average. Emera is recognized as one of Canada's Best Diversity Employers for 2024 and emphasizes world-class safety and sustainability.
Peoples Gas Peoples Gas is a leader in customer service and committed to safe and reliable operations. With a legacy dating back to 1895, Peoples Gas has grown to become the largest LDC in Florida, proudly delivering safe, resilient, clean...
AI summary Peoples Gas is a leading natural gas provider in Florida with a long history of safe and reliable service. It is the largest local distribution company in the state and focuses on delivering affordable and clean energy solutions.
779 855 406 508 TAMPA ELECTRIC CUSTOMERS (000s) PEOPLES GAS CUSTOMERS (000s) 4.6% CAGR 1.9% CAGR 2019 2024 Hillsborough County population growth expected to outpace that of Florida's over the next 10 years 1 2019 2024 1 Source: Bureau of E...
AI summary The text discusses population growth and electrification trends in Nova Scotia, including a 3.4% annual growth rate for electric heat pump installations and a target of 30% zero-emission vehicle sales by 2030. It also references population growth forecasts and the impact of these trends on energy demand.
Environmental, Social and Governance (ESG) commitments are core to our strategy and shape our culture of doing the right thing for our customers, investors, communities and each other. Our proven strategy has been driving our growth for ne...
AI summary The document emphasizes the importance of ESG commitments in shaping the company's strategy and culture, focusing on delivering cleaner energy, reliability, and managing customer costs while addressing industry trends like decarbonization, decentralization, and digitalization.
779 855 406 508 TAMPA ELECTRIC CUSTOMERS (000s) PEOPLES GAS CUSTOMERS (000s) Hillsborough County population growth expected to outpace that of Florida's over the next 10 years 1 1 Source: Bureau of Economic and business Research (BEBR), Un...
AI summary The text discusses population growth in Hillsborough County and Nova Scotia, along with trends in electrification, such as the increasing adoption of electric heat pumps and the target for zero-emission vehicle sales. It also references growth projections and forecasts for the region.
Florida's Population and Economic Growth Drives Investment Demand Hillsborough County population growth expected to outpace that of Florida's over the next 10 years 1 1 Source: Bureau of Economic and business Research (BEBR), University of...
AI summary The document highlights population and economic growth in Florida and Nova Scotia, emphasizing increased investment demand. It notes significant growth in electric heat pump installations and targets for zero-emission vehicle sales in Nova Scotia, alongside population growth projections.
OUR STRATEGIC PRIORITIES Always leading with Health & Safety Advancing Cleaner Energy towards our Net-Zero Vision Enhancing Reliability Driving Innovation Empowering our Teams & Communities Always Working to Minimize Cost Impacts for Custo...
AI summary The document outlines the strategic priorities of the organization, emphasizing health and safety, cleaner energy, net-zero vision, reliability, innovation, and minimizing cost impacts for customers. It highlights readiness for change and includes visual elements.
Nova Scotia Power Regulated integrated electric utility serving the province of Nova Scotia. Nova Scotia Power is delivering one of the most ambitious clean energy transitions in Canada and is an industry leader in GHG reductions in the co...
AI summary Nova Scotia Power is a regulated integrated electric utility serving Nova Scotia, leading in clean energy transitions and GHG reductions in Canada.
Electrification and Population Growth Driving Demand in Nova Scotia 3.4% Annual growth rate for Electric Heat Pump installation (21,000 units per year) 1.1% forecast population growth through 20301 30% of new light-duty vehicle sales in No...
AI summary The document highlights the impact of electrification and population growth on electricity demand in Nova Scotia. It notes a 3.4% annual growth rate for electric heat pump installations and a 1.1% population growth forecast through 2030, with a target of 100% population growth by 2060. Zero-emission vehicle sales are also a focus, with 30% of new light-duty vehicles targeted to be zero-emission by 2030.
Fellow shareholders, Utilities remain at the forefront of significant cross-industry transformation, driven by economic, demographic, environmental and technological trends. As a result, we're seeing significant growth in demand for energy...
AI summary The document highlights the transformative challenges facing utilities due to economic, demographic, environmental, and technological trends. Utilities are investing in resilient, flexible, and cost-efficient systems while addressing customer expectations for reliability, resiliency, and affordability, and meeting clean energy mandates.
The Emera team shares a common purpose of energizing modern life and delivering a cleaner energy future for all. As the energy landscape continues to shift, our vision is to be the energy provider of choice for our customers, the employer...
AI summary Emera outlines its strategic focus on growth, innovation, and sustainability in the energy sector, emphasizing its commitment to delivering clean energy, reliable services, and value for shareholders. The company highlights its capital investment strategy and alignment with regulatory and environmental trends.
SUSTAINABILITY MATERIALITY ASSESSMENT Emera is committed to transparency, accountability, understanding stakeholder expectations and improving disclosures on the material sustainability priorities that matter most to stakeholders. Those su...
AI summary Emera conducts a sustainability materiality assessment to identify key sustainability priorities, categorized as strategic, core, and evolving. These priorities are reviewed annually with the SMC and SRC to ensure alignment with stakeholder interests and business impact. A full update is conducted every three years.
CLIMATE PROGRESS Building on its strong decarbonization track record, Emera continues its carbon reduction efforts while managing the physical risks of climate change as we invest in a resilient grid for our customers. The Board of Directo...
AI summary Emera is advancing its decarbonization efforts and managing climate-related risks through the SRC, which reports to the Board of Directors. The company is investing in grid modernization, renewable energy integration, and technological innovation to deliver reliable, cleaner energy while complying with government climate policies.
N-20NSPI (Bates White) RIR 1-20 - Redacted
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13 table: Year Estimated Peak (MW) Estimated Energy (MWh) 2020 0 2,122 2021 0 3,899 2022 1 7,347 2023 2 12,894 2024 4 23,732 14 15
AI summary The table presents estimated peak demand and energy usage from 2020 to 2024, showing a steady increase in both metrics over time. These figures likely relate to electricity demand forecasting or resource planning.
2025 Load Forecast Report Redacted 31 7.3 Other Industrial Rate Classes 69 32 7.4 Municipal 71 33 8.0 SYSTEM LOSSES AND UNBILLED SALES 73 34 9.0 NET SYSTEM REQUIREMENT 74 35 10.0 PEAK DEMAND 76 36 10.1 Analysis of 2024 Actual Peak 83 37 10...
AI summary The document outlines the structure of the 2025 Load Forecast Report, including sections on system losses, net system requirements, peak demand analysis, solar impact, and sensitivity analysis. It also references the Evergreen IRP Comparison and includes various rate classes and municipal data.
11 Figure 1: Historical and Predicted Annual Net System Requirement 12 13 10 14 In addition to annual energy requirements, NS Power forecasts system peak demand. Customer 15 growth, electrification of heating and increased EV sales will in...
AI summary NS Power forecasts annual energy requirements and system peak demand, noting that customer growth and electrification will increase peak demand, while demand-side management (DSM) and demand response (DR) activities will reduce it. The peak forecast is similar to 2024 despite the delayed start of RTR.
1 2.0 INTRODUCTION 2 - 3 NS Power develops an annual forecast of energy sales and peak demand requirements which assess - 4 the effects of end-use and economic factors on the future power system load and load shape. The - 5 forecast is a f...
AI summary The document discusses the 2024 Load Forecast Report by NS Power, which was reviewed by the NSUARB through a paper hearing process. Intervenors including the Consumer Advocate and EfficiencyOne provided input, and the Board encouraged NS Power to refine its forecast, particularly the residential model, in light of population growth and housing policies.
1 4.2.1 Investigating the impact of cloud data on the Load Forecast 2 3 As requested by the Consumer Advocate, NS Power investigated the impact of cloud cover on 4 energy and peak demand models. Since cloud cover data are not available fro...
AI summary NS Power investigated the impact of cloud cover data on energy and peak demand models. Using an alternative dataset from NASA's Modern-Era Retrospective Analysis, the study found minimal improvements in model performance when including solar radiation data, leading to its exclusion from the 2025 Load Forecast.
1 Figure 20: E3 Residential Space Heating Saturation 2 3 4 On the commercial side, the E3 electric heating stock model has a similar trajectory to that of the 5 residential model (see Figure 21 ), but has a higher adoption of hybrid system...
AI summary The document discusses the adoption of electric heating systems in residential and commercial buildings, noting that while residential models are expected to reach full saturation by 2050, commercial models will not due to the continued use of hybrid systems and some buildings' inability to fully convert.
14 stock with improved efficiency units. Year Overall % Saturation Overall Intensity (kWh/household) 2025 76 1,674 2026 78 1,709 2027 80 1,743 2028 82 1,777 2029 83 1,808 2030 85 1,825 2031 86 1,843 2032 87 1,861 2033 88 1,879 2034 89 1,89...
AI summary The text provides a table showing the projected saturation percentage and overall energy intensity (in kWh per household) for improved efficiency units from 2025 to 2035. The data indicates a gradual increase in both saturation and energy intensity over time.
1 4.4.3 Electric Vehicles (EVs) 2 3 Both the federal and provincial incentives on EV sales have been eliminated for 2025, with the 4 exception of medium and heavy-duty vehicles. This will have a negative impact on EV sales in 5 the provinc...
AI summary Federal and provincial EV incentives have been eliminated for 2025, except for medium and heavy-duty vehicles, leading to a projected slowdown in EV sales in Nova Scotia. As of the end of 2024, there were approximately 6,500 BEV + PHEVs in the province, and the forecast is now lower than both 2024 and the 'Low' scenario in the 'Ensuring ZEV Adoption in Nova Scotia' report.
11 Figure 26: EV Forecast 12 13 14 The forecast includes both light-duty vehicles (LDV) as well as medium-duty vehicles (MDV) 15 such as delivery trucks and other medium-duty fleet vehicles, and heavy-duty vehicles (HDV) 16 focusing on bus...
AI summary The text discusses an EV forecast for Nova Scotia, including light-duty, medium-duty, and heavy-duty vehicles, and references a report by Dunsky Energy+Climate Advisors for the Ecology Action Center.
2025 Load Forecast Report Redacted 1 EVs on the road by 2035, mostly made up of LDVs compared to a forecast of 200,000 vehicles by 2 2035 in the 2024 Load Forecast. 3 4 The impact of EVs on residential energy sales and peak (reflecting at-...
AI summary The 2025 Load Forecast Report analyzes the impact of EVs on residential energy consumption using AMI data from 2023 and 2024. EV owners were divided into 'new EV owners' and a 'control group' to estimate the energy impact of at-home EV charging. The report estimates an annual load increase of 3820 kWh per customer from EV charging, with the greatest monthly impact in winter and a secondary peak in summer.
1 Figure 28: EV Mileage Assumptions and Load/Peak Modeling Results Vehicle Type Avg kWh/year Avg kW/vehicle on Peak LDV 4,202 0.6 MDV 8,205 1.6 HDV 113,890 7.3 2
AI summary Figure 28 presents assumptions about electric vehicle (EV) mileage and results from load and peak modeling. It includes average annual kilowatt-hour consumption and peak kilowatt usage for different vehicle types: light-duty vehicles (LDV), medium-duty vehicles (MDV), and heavy-duty vehicles (HDV).
1 4.4.5 New Technologies 2 3 The 2025 Load Forecast does not assume a significant amount of distributed solar/battery storage 4 combinations or storage only deployments. The cost of home batteries is still relatively expensive, in the rang...
AI summary The 2025 Load Forecast does not assume widespread adoption of distributed solar/battery storage due to high costs, which make gas generators a more cost-effective alternative for backup power. Vehicle-to-Grid (V2G) technology is still in development, and while batteries can support the grid, their current high costs limit their deployment. Future cost reductions and technological advancements may change this dynamic.
11 4.4.7 Commercial and Industrial Growth 12 13 The commercial and industrial sectors are projected to see targeted growth as a result of the federal 14 and provincial push to net-zero emissions and the resulting electrification programs d...
AI summary The commercial and industrial sectors are expected to grow due to federal and provincial efforts toward net-zero emissions, driven by electrification programs that reduce energy usage and carbon emissions. These programs include converting heating loads to electricity, adopting electric cooling technologies, and exploring electrification for industrial processes. Large industrial customers are assessed individually to facilitate electricity use while benefiting the system, such as through the interruptible rider.
1 5.0 RESIDENTIAL SECTOR 2 - 3 The Residential sales forecast is generated as the product of a residential average use forecast and - 4 a customer count forecast. The residential average use model is specified using a SAE model - 5 structu...
AI summary The residential sales forecast is based on average use and customer count forecasts, with the average use modeled using a SAE structure. Growth in residential sales between 2023 and 2024 was driven by work-from-home activity, new customers, and increased heat pump usage. Projections for EVs and residential solar are also included in the load forecast.
17 Figure 44 indicates a decreasing trend in electricity consumption for MURB properties over time, 18 while SFU properties show an increase. Differences in electricity consumption between old and 19 new MURBs may stem from various factors...
AI summary The text discusses trends in electricity consumption between Multi-Unit Residential Buildings (MURBs) and Single-Family Units (SFUs). New MURBs show decreasing consumption due to energy-efficient technologies, while SFUs show increasing consumption. Older buildings lack these advancements, leading to higher energy use.
2025 Load Forecast Report Redacted - 1 be attributed to factors such as larger living spaces and a greater concentration of electric space - 2 and water heating compared to older buildings. Despite improvements in energy efficiency, these...
AI summary The 2025 Load Forecast Report discusses factors influencing electricity demand, including larger living spaces and increased electric space and water heating in newer buildings. While energy efficiency improvements are expected, rising house sizes may offset these gains, leading to steady average electricity use per new residential customer.
5 Figure 61: Peak Regression Coefficients Coefficient Value Description Weekdays 30.5 Peaks that occur on weekdays will be 30.5MW higher than those on weekends, all else being equal. Wind 2.7 Average daily windspeed will add 2.7MW for ever...
AI summary Figure 61 presents peak regression coefficients that indicate how various factors influence electricity demand peaks. Weekday peaks are 30.5MW higher than weekend peaks, wind speed adds 2.7MW per km/hr, and a 1-degree Celsius drop in temperature over a 12-hour lag increases the peak by 28MW.
7 Modeled Peak (MW) Res Heat (MW) EV (MW) DR (MW) Hybrid (MW) C&I Elect. (MW) Large Cust. (MW) DSM (MW) Firm Peak (MW) Inter. Cust. (MW) System Peak (MW) 2025 2,180 2 3 -4 - 0 96 -11 2267 132 2,403 2035 2,455 17 121 -37 -48 4 105 -114 2502...
AI summary The table provides modeled peak demand forecasts for various load categories in 2025 and 2035, including residential heating, electric vehicles, demand response, and others, with values in megawatts (MW). It also includes a scenario for 2035 with maximum non-coincident EV peak demand.
17 Figure 66: Forecast Peak Variance vs Actuals MW 2024 Forecast Peak 2,365 Interruptible -57 Weather (-10.8°C 12hr lag avg) -101 Wind (7.4 km/h daily avg) -31 Morning peak impact (estimated) -121 Unexplained +33 2024 Actual Peak 2,088 18
AI summary Figure 66 compares forecasted and actual peak demand for 2024, highlighting factors such as interruptible load, weather, wind, morning peak impact, and unexplained variance. The forecast peak was 2,365 MW, while the actual peak was 2,088 MW.
13 Figure 69: Residential End-Use Peak Shares 14 15 16 Over the forecast period, the greatest changes in relative contribution to peak are in EVs, increasing 17 from 0.3 percent in 2025 to 4.9 percent by 2034, and electric heating sources,...
AI summary Figure 69 illustrates changes in residential end-use peak shares over the forecast period. Electric vehicles (EVs) are expected to increase their contribution to peak demand from 0.3% in 2025 to 4.9% by 2034, while electric heating sources are projected to decrease from 68.4% in 2025 to 65.1% in 2035. Other end uses remain relatively stable.
1 Figure 70: Commercial End-Use Peak Shares 2 3 4 5 As with the residential class, there is a significant increase in peak contribution from EVs, 6 increasing from 0.3 percent in 2025 to 6.2 percent in 2034. The electrification of space he...
AI summary The figure illustrates the changing contribution of various end-uses to peak demand in the commercial sector. EVs and electric heating are increasing their share, while lighting is decreasing. These trends are projected from 2025 to 2034.
Residential Average Use –Regression XHeat XCool XOther AvgEE Binaries ARMA COVID Res Average Savings Variable Use 2025 4,977 492 5,199 (465) 273 - - 10,475 2035 5,359 779 5,131 (465) 273 - - 11,078 Change 3.7% 2.7% -0.6% 0.0% 0.0% 0.0% 0.0...
AI summary The table presents projected changes in residential average energy use from 2025 to 2035, including variables like heating, cooling, and average energy savings. The overall residential average use is expected to increase by 5.8% over the period.
Residential Input Variables – XHeat Intensities Econ + Struct Regression Efurn HP Heat Secondary Heat Furnace Fans HeatUse Variable Coeff Total XHeat 2025 2,054 2,289 597 70 1.07 0.926 4,977 2035 1,042 3,945 767 60 1.00 0.926 5,359 Change...
AI summary This table presents residential input variables for XHeat, including intensities, economic and structural factors, regression data, and changes in load from 2025 to 2035. The formula for XHeat is provided, combining various heat-related components and coefficients.
Small General 2025-2035 Reconciliation The Small General Demand customer forecast model is constructed like the residential model (including heat pump programs inside the SAE model). Adjustments done outside the regression include estimate...
AI summary The Small General 2025-2035 Reconciliation discusses the construction of the Small General Demand customer forecast model, which is similar to the residential model and includes heat pump programs within the SAE model. Adjustments outside the regression account for other commercial and industrial growth programs, PV, EV, RTR, and DSM. Historical variables use flat scaling factors for easier comparison.
Small General Load – Post Regression (GWh) Load from Regression Model EVs Solar RTR SG DSM adjustment Small Gen Sales (with DSM) Total Res DSM (at the meter) DSM captured by end uses 2025 378 2 (1) - (3) 374 (6) (3) 2035 432 60 (26) (3) (2...
AI summary The table presents projected small general load data for 2025 and 2035, including adjustments for EVs, solar, RTR, and DSM. Load from the regression model is used to calculate small general sales, incorporating various factors such as average use, customer count, and DSM adjustments.
General Demand Load – Post Regression (GWh) Load from Regression Model Model alignment RTR Hybrid Impact EV Solar GD DSM Adjustment Gen Sales (with DSM) Total GD DSM (at the meter) DSM captured by end uses 2025 2,359 (14) - - 7 (10) (22) 2...
AI summary The table presents General Demand Load data post-regression for 2025 and 2035, showing load from the regression model, model alignment, RTR, hybrid impact, EV, solar, and DSM adjustments. It highlights changes in load, with percentages indicating increases and decreases across different categories.
Variable Coefficient StdErr T-Stat P-Value MSales.EESavingsProfiled -0.433 0.166 -2.616 1.01% MStructGen.WtXCool 0.552 0.051 10.771 0.00% MStructGen.WtXHeat 0.906 0.041 22.084 0.00% MStructGen.WtXOther 0.976 0.328 2.976 0.36% MSales.NonRes...
AI summary The table presents statistical analysis of various variables related to energy sales and demand-side management (DSM). The coefficient on the EESavings variable indicates the amount of DSM required to explain historical sales trends beyond changes in underlying end-uses.
REDACTED 2025 Load Forecast Report Appendix D Page 8 of 8 REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2026-2027 GRA BW IR-7 Attachment 1 Page 148 of 168 REDACTED (CONFIDENTIAL INFORMATION REMOVED) In terms of relative magnitude of...
AI summary The document highlights that demand-side management (DSM) has the largest impact on energy and peak demand, while solar, electric vehicles (EVs), hydrogen facilities, and batteries also significantly influence energy and peak demand. Figure D8 illustrates these relative impacts.
Figure D8: Relative Impact of Inputs Item 2025 Energy (GWh) 2025 Peak (MW) 2035 Energy (GWh) 2035 Peak (MW) Included in Forecast DSM (base case) -150 -26 -1456 -261 Solar PV -148 0 -1023 0 EV (current forecast) 32 5 740 109 Other Possible...
AI summary Figure D8 shows the relative impact of various energy inputs on energy demand and peak load for 2025 and 2035, including the effects of demand-side management, solar PV, EVs, hydrogen production, and battery storage. The impact of hydrogen facilities on NS Power's system requirements is still under evaluation.
Changes From 2024 Input Update New Residential Load New customer average load assumption updated using AMI data and customer segmentation New Residential Customers Review of Conference Board housing completions forecast EV EV average load...
AI summary This section outlines changes from 2024, including updates to load assumptions for new residential customers, EV load and peak contribution, solar generation, RTR load forecasts, and the removal of COVID-related variables from forecasts.
Average Consumption for New Customers - In the Residential class, new customers are forecast based on new single family units (SFU) and multidwelling units (MDU), multiplied by average annual consumption for the two types of dwellings. - I...
AI summary The document discusses updated average electricity consumption forecasts for new residential customers in Nova Scotia. Previously estimated at 16,000 kWh/year for single-family units and 4,860 kWh/year for multidwelling units, the updated analysis using AMI data shows lower estimates of 14,600 kWh/year and 4,100 kWh/year respectively, leading to a projected reduction of 60 GWh in residential sales over a 10-year period.
EV Load - With the removal of both federal and provincial EV incentives, the forecast for EV sales has been adjusted downward compared to 2024 (around 40K less EVs on the road by 2035). - Using AMI data from 2023 and 2024, the contribution...
AI summary The removal of federal and provincial EV incentives has led to a downward adjustment in EV sales forecasts, resulting in a lower number of EVs on the road by 2035. Analysis using AMI data shows an increase in annual EV energy consumption but a decrease in peak load per vehicle.
Forecast Comparison – Residential • Sales in 2024 were lower than forecast due mainly to warmer than average weather. Over the forecast period, slower EV sales, increased behind the meter solar production, higher RTR sales will drive sales...
AI summary Residential sales in 2024 were lower than forecast, primarily due to warmer than average weather. Slower EV sales, increased behind-the-meter solar production, and higher RTR sales are expected to further reduce sales below forecast levels in 2024.
• Below is an estimate of the major variances between the 2024 forecast and 2024 actuals for both energy and peak. Item GWh 2024 Forecast NSR 11,485 Weather Impact -134 Large Customer Actuals -61 Other Variance 36 2024 Actual NSR 11,326 It...
AI summary The text provides an estimate of the variances between the 2024 forecast and actuals for energy and peak demand. Key factors include weather impact, large customer actuals, and variations in wind and lighting usage.
Ongoing Work - Integration of AMI data - Evaluation of the impact of electrification/emissions targets (hybrid heating project to start in 2025) - Evaluation of the impact of new technologies as pilots progress (time variable pricing, dire...
AI summary The document outlines ongoing work including the integration of AMI data, evaluation of electrification and emissions targets, and the impact of new technologies. It also references the 2026-2027 General Rate Application (M12451) and NSPI's responses to information requests.
CONFIDENTIAL (Attachment Only) 1 (d) Please refer to Confidential Attachment 1 for the ISONE forward pricing. NS Base Block 2 and Supplemental Block do not have a price associated with them. 3 4 (e) NS Power priced Surplus energy assuming...
AI summary The document discusses the 2026-2027 General Rate Application (M12451) by NSPI, including responses to information requests related to forecasting decreases in costs for various energy resources and the impact of the SO2 emissions Certificate of Variance (CoV) on cost control and renewable energy projects.
4 Port Hawkesbury Biomass Plant Efficiency Calculation Description Units 2022 Total 2021 Total 2020 Total 2019 Total 2018 Total Overall Energy to Work Efficiency Calculation Fuel Energy GJ To PB3 Net Electricity MWhr Production Net Electri...
AI summary The text provides a table outlining the efficiency calculations for the Port Hawkesbury Biomass Plant, including various energy metrics and production data across multiple years. However, the table lacks specific values and details, making it difficult to assess the plant's performance or efficiency trends.
REDACTED 2026-2027 GRA BW IR-19 Attachment 2 Page 7 of 7 REDACTED (CONFIDENTIAL INFORMATION REMOVED) Nova Scotia Power Inc. Annual FAM Reporting NSPI (FAM) A-14 REDACTED Port Hawkesbury Biomass Plant Efficiency Calculation
AI summary The document discusses the efficiency calculation for the Port Hawkesbury Biomass Plant as part of Nova Scotia Power Inc.'s Annual FAM Reporting. The specific details of the calculation are redacted due to confidentiality.
Year 202x Description Units 202x Total 202x-1 Total 202x-2 Total 201x-3 Total 201x-4 Total Overall Energy to Work Efficiency Calculation Fuel Energy to PB3 GJ Net Electricity Production MWhr Net Electricity Production GJ Thermal Energy Del...
AI summary The Port Hawkesbury Biomass plant uses biomass to generate electricity through a steam turbine. Steam is extracted during the process to support other uses, improving fuel energy utilization by recovering steam energy for useful work that would otherwise be lost.
The overall Port Hawkesbury Biomass plant process efficiency is defined as the total electricity generation plus the useful thermal energy divided by the biomass input heat energy. The efficiency level of the process is variable and depend...
AI summary The Port Hawkesbury Biomass plant's overall process efficiency is calculated based on total electricity generation and useful thermal energy relative to biomass input heat energy. Efficiency varies due to factors like fuel quality, boiler capacity, and operating profile, and has fluctuated between years as noted in annual reports.
N-67Response to Undertaking U-4 - Combined Redacted Only
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FOR DECEMBER 2026 (1) MWH SALES (2) ENERGY LINE LOSSES (3) ENERGY REQUIREMENT (4) CLASS NON- COINCIDENT DMD. (KW) (5) SYSTEM COINCIDENT FACTOR (6) SYSTEM COINCIDENT DMD. (KW) (7) DEMAND LINE LOSSES (8) SYSTEM COIN. PEAK DMD. (KW) (9) SYSTE...
AI summary The text presents a table with data related to energy sales, losses, and demand factors for December 2026. It includes metrics such as megawatt-hour sales, energy line losses, system coincident demand, and load factor. The table provides a breakdown of total energy usage, export sales, and specific customer classes.
DETAIL OF MONTHLY CLASS SYSTEM COINCIDENT KW PEAK DEMAND (1) TOTAL (2) (3) SMALL (4) (5) GENERAL (6) SMALL (7) MEDIUM (8) LARGE (9) (10) (11) (12) SHORE (13) (14) (15) (16) REAL TIME MONTH COMPANY DOMESTIC GENERAL GENERAL LARGE INDUST. IND...
AI summary The document provides a detailed breakdown of monthly class system coincident kW peak demand across various categories and months, including data for domestic, general, industrial, and other classifications. This information is likely used for regulatory analysis and planning.
(IN THOUSANDS OF DOLLARS) FOR THE YEAR ENDING DECEMBER 31, 2026 Calendar Month of System Peak 1 January February March April May June July August September October November December Total (133) (134) Energy Line Losses (135) EHV - LIR (136...
AI summary The document presents a table outlining energy line losses and distribution losses across different voltage levels and months for the year ending December 31, 2026. It includes percentages of losses for various categories such as EHV, HV, and Distribution BP Substation.
FOR JANUARY 2027 (1) MWH SALES (2) ENERGY LINE LOSSES (3) ENERGY REQUIREMENT (4) CLASS NON- COINCIDENT DMD. (KW) (5) SYSTEM COINCIDENT FACTOR (6) SYSTEM COINCIDENT DMD. (KW) (7) DEMAND LINE LOSSES (8) SYSTEM COIN. PEAK DMD. (KW) (9) SYSTEM...
AI summary This table presents energy sales, losses, and demand data for January 2027, categorized by customer class. It includes metrics such as energy losses, demand factors, and total energy requirements. The data is broken down into various customer segments, including domestic, industrial, and municipal users, with totals and subtotals provided for each category.
FOR MAY 2027 (1) MWH SALES (2) ENERGY LINE LOSSES (3) ENERGY REQUIREMENT (4) CLASS NON- COINCIDENT DMD. (KW) (5) SYSTEM COINCIDENT FACTOR (6) SYSTEM COINCIDENT DMD. (KW) (7) DEMAND LINE LOSSES (8) SYSTEM COIN. PEAK DMD. (KW) (9) SYSTEM COI...
AI summary The document presents a table with energy sales, losses, and demand metrics across various customer classes in Nova Scotia for May 2027. The data includes metrics such as energy losses, demand factors, and peak demand by customer class, providing a snapshot of energy usage and system performance.
FOR AUGUST 2027 (1) MWH SALES (2) ENERGY LINE LOSSES (3) ENERGY REQUIREMENT (4) CLASS NON- COINCIDENT DMD. (KW) (5) SYSTEM COINCIDENT FACTOR (6) SYSTEM COINCIDENT DMD. (KW) (7) DEMAND LINE LOSSES (8) SYSTEM COIN. PEAK DMD. (KW) (9) SYSTEM...
AI summary The document presents a table with energy sales, losses, and demand data for different customer classes in August 2027. It includes metrics such as energy requirement, system coincidence factor, and demand line losses, with a total of 782,190 MWH sold and 6.0% energy losses. The table also includes subtotals and totals for various categories, including shore power and real-time pricing.
FOR SEPTEMBER 2027 (1) MWH SALES (2) ENERGY LINE LOSSES (3) ENERGY REQUIREMENT (4) CLASS NON- COINCIDENT DMD. (KW) (5) SYSTEM COINCIDENT FACTOR (6) SYSTEM COINCIDENT DMD. (KW) (7) DEMAND LINE LOSSES (8) SYSTEM COIN. PEAK DMD. (KW) (9) SYST...
AI summary The document presents a table with various metrics related to energy sales, losses, and demand factors across different customer classes in September 2027. It includes data on energy sales, energy losses, energy requirements, demand factors, and other related metrics, with totals and subtotals provided for different categories.
FOR OCTOBER 2027 (1) MWH SALES (2) ENERGY LINE LOSSES (3) ENERGY REQUIREMENT (4) CLASS NON- COINCIDENT DMD. (KW) (5) SYSTEM COINCIDENT FACTOR (6) SYSTEM COINCIDENT DMD. (KW) (7) DEMAND LINE LOSSES (8) SYSTEM COIN. PEAK DMD. (KW) (9) SYSTEM...
AI summary This document presents a table with energy sales, losses, and demand metrics across different customer classes in Nova Scotia for October 2027. It includes data such as energy sales, energy losses, demand factors, and system peak demand across various sectors including domestic, industrial, and municipal.
FOR NOVEMBER 2027 (1) MWH SALES (2) ENERGY LINE LOSSES (3) ENERGY REQUIREMENT (4) CLASS NON- COINCIDENT DMD. (KW) (5) SYSTEM COINCIDENT FACTOR (6) SYSTEM COINCIDENT DMD. (KW) (7) DEMAND LINE LOSSES (8) SYSTEM COIN. PEAK DMD. (KW) (9) SYSTE...
AI summary The document presents a detailed table of energy sales, losses, and demand metrics for different customer classes in November 2027, including domestic, industrial, municipal, and others. It includes data on energy losses, demand factors, and system coincident demand, with aggregated totals and subtotals.
FOR DECEMBER 2027 (1) MWH SALES (2) ENERGY LINE LOSSES (3) ENERGY REQUIREMENT (4) CLASS NON- COINCIDENT DMD. (KW) (5) SYSTEM COINCIDENT FACTOR (6) SYSTEM COINCIDENT DMD. (KW) (7) DEMAND LINE LOSSES (8) SYSTEM COIN. PEAK DMD. (KW) (9) SYSTE...
AI summary The document presents a table with energy sales, losses, and demand metrics for December 2027, including subtotals and totals for different categories such as shore power, generation replacement, and ELIADC. It outlines key performance indicators like energy requirement, system coincident demand, and load factor.
SUMMARY OF DISTRIBUTION SYSTEM ENERGY LINE LOSSES FOR THE YEAR ENDING DECEMBER 31, 2027
AI summary This summary provides an overview of distribution system energy line losses for the year ending December 31, 2027, highlighting the key metrics and factors influencing energy loss during transmission.
FOR THE YEAR ENDING DECEMBER 31, 2027 (IN THOUSANDS OF DOLLARS) Calendar Month of System Peak 1 January February March April May June July August September October November December Total (10) MWH SALES - UNMETERED 6,586 6.343 6.356 6.257...
AI summary The document provides a summary of unmetered MWH sales for each month of the year ending December 31, 2027, with total sales amounting to 77,000,000 kWh. The data shows monthly variations in sales, with the highest sales in November and the lowest in February.
(IN THOUSANDS OF DOLLARS) Calendar Month of System Peak 1 January February March April May June July August September October November December Total (95) DEMAND LINE LOSS ADJUSTMENT - UNMETERED (96) DEMAND LINE LOSS ADJUSTMENT - SHORE POW...
AI summary The document provides a breakdown of demand line loss adjustments across various categories for each month of the year, with total figures provided. These adjustments are categorized under different system components and include amounts in thousands of dollars.
N-69Response to Undertaking U-10 - Redacted
64 passages
/͘ /^>/DZ dŚŝƐƌĞƉŽƌƚŝƐƉƌĞƉĂƌĞĚ ĨŽƌEŽǀĂ^ĐŽƚŝĂWŽǁĞƌ/ŶĐ͘ ;ƚŚĞ͞ůŝĞŶƚ͟ͿďLJ :͘͘zĂƚĞƐŶŐŝŶĞĞƌŝŶŐ>ŝŵŝƚĞĚ ;ƚŚĞ ͞ŽŶƐƵůƚĂŶƚ͟ͿĂŶĚŝƐƐƵďũĞĐƚƚŽƚŚĞĨŽůůŽǁŝŶŐůŝŵŝƚĂƚŝŽŶƐ͕ƋƵĂůŝĨŝĐĂƚŝŽŶƐĂŶĚĚŝƐĐůĂŝŵĞƌƐ͗ - ϭ͘Ϳ dŚŝƐƌĞƉŽƌƚŝƐƉƌĞƉĂƌĞĚƐŽůĞůLJĨŽƌƚŚĞĞdžĐůƵƐŝǀĞƵƐĞŽĨƚŚĞů...
AI summary The document discusses regulatory issues related to energy efficiency, cost recovery, and stakeholder engagement in Nova Scotia. It addresses topics such as fuel-cost-adjustment mechanisms, demand-side management, and the integration of renewable energy resources. The proceedings involve considerations of affordability, program evaluation, and stakeholder participation in regulatory decisions.
ϭ͘ /ŶƚƌŽĚƵĐƚŝŽŶ dŚĞ ĨŽůůŽǁŝŶŐ ƉĂŐĞƐ ĂŶĚ ĂƚƚĂĐŚŵĞŶƚƐ ƌĞƉƌĞƐĞŶƚ ĂŶ ĞƐƚŝŵĂƚĞ ŽĨ ĚĞŵŽůŝƚŝŽŶ ĐŽƐƚƐ ĂƐƐŽĐŝĂƚĞĚ ǁŝƚŚ ĐŽŶĐĞƉƚƵĂůƉŽǁĞƌŚŽƵƐĞĚĞĐŽŵŵŝƐƐŝŽŶŝŶŐƉůĂŶƐĨŽƌĞĂĐŚŽĨE^W/͛ƐϯϭŝĚĞŶƚŝĨŝĞĚŚLJĚƌŽƐŝƚĞƐ;ĞdžĐĞƉƚƚŚĞ ,ĂƌŵŽŶLJĞǀĞůŽƉŵĞŶƚ͕ǁŚŝĐŚŚĂƐĂůƌĞĂĚLJďĞĞŶ...
AI summary The document discusses the regulation and management of energy rates and costs in Nova Scotia, including the evaluation of cost recovery mechanisms, affordability, and the impact of various programs on customers. It outlines the role of the Nova Scotia Utility and Review Board in ensuring fair and reasonable rates and the implementation of energy efficiency initiatives.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ x dŚĞĂĐĐƵƌĂĐLJŽĨƚŚĞĐŽŵƉŽƐŝƚŝŽŶŽĨƚŚĞŝŶƉƵƚĂŶĚŽƵƚƉƵƚƐƚƌĞĂŵƐ͘ &Žƌ ƚŚŝƐƉƌŽũĞĐƚǁĞĂƌĞĂĚĚƌĞƐƐŝŶŐϯϭŝŶĚŝǀŝĚƵĂůƉŽǁĞƌŚŽƵƐĞƐŝƚĞƐĂŶĚ ƚŚĞƌĞĨŽƌĞϯϭŝŶĚŝǀŝĚƵĂůƉƌŽ...
AI summary The document discusses the NSURB's proceedings regarding the regulation of utility rates and the implementation of energy efficiency programs. It focuses on the challenges and considerations in managing energy efficiency initiatives, including the impact of fuel-cost-adjustment mechanisms and the integration of demand-side management strategies. The analysis highlights the importance of stakeholder engagement and regulatory oversight in ensuring equitable and effective program implementation.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ ŵƐ͕ƐŝůƚĨĞŶĐĞƐĂŶĚŽŝůƐƉŝůůĐŽŶƚĂŝŶŵĞŶƚŵƐĂŶĚƉƌŽǀŝƐŝŽŶŽĨŽŝůͲƐƉŝůůĐůĞĂŶͲƵƉƚŽŽůƐĂŶĚĞƋƵŝƉŵĞŶƚ ǁŝůůďĞƌĞƋƵŝƌĞĚĚƵƌŝŶŐƉůĂŶŶĞĚĚĞŵŽůŝƚŝŽŶƐ͘,ŽǁĞǀĞƌ͕ŶŽĐŽƐƚƐŚ...
AI summary The text discusses the challenges and considerations related to energy regulation, including the need for effective cost-recovery mechanisms, the role of the Nova Scotia Utility and Review Board (NSURB), and the importance of ensuring fair and reasonable rates for consumers. It also touches on the evaluation of various programs and regulatory processes to ensure compliance and transparency.
Ϯ͘ ĞŵŽůŝƚŝŽŶĂƚĞŐŽƌŝĞƐ WŽǁĞƌŚŽƵƐĞƐĂŶĚƌĞůĂƚĞĚƐƚƌƵĐƚƵƌĞƐŝŶƚŚĞEŽǀĂ^ĐŽƚŝĂWŽǁĞƌ/ŶĐ͘,LJĚƌŽWƌŽĚƵĐƚŝŽŶĐƵƌƌĞŶƚůLJŝŶƐĞƌǀŝĐĞ ǁĞƌĞĞƌĞĐƚĞĚĂŶĚĐŽŵŵŝƐƐŝŽŶĞĚďĞƚǁĞĞŶƚŚĞůĂƚĞϭϵϮϬ͛ƐĂŶĚƚŚĞϭϵϴϬ͛Ɛ͘^ŝŶĐĞƚŚĞŶďƵŝůĚŝŶŐƚĞĐŚŶŽůŽŐLJ ĂŶĚ ƌĞůĂƚĞĚ ĐŽĚĞƐ ĂŶĚ ŐƵŝĚĞůŝŶĞƐ ŚĂǀĞ...
AI summary The document discusses historical and ongoing regulatory proceedings related to utility and review board matters, including fuel-cost-adjustment mechanisms, energy efficiency programs, and regulatory compliance. It references past and current proceedings, legislative frameworks, and stakeholder engagement.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ - ŝŝ͘ ǀŽŶEŽ͘ϮĞǀĞůŽƉŵĞŶƚ - ŝŝŝ͘ ,ŽůůŽǁƌŝĚŐĞĞǀĞůŽƉŵĞŶƚ - ŝǀ͘ >ƵŵƐĚĞŶĞǀĞůŽƉŵĞŶƚ - ǀ͘ ,ĞůůƐ'ĂƚĞ͕EŽƐ͘ϭĂŶĚϮĞǀĞůŽƉŵĞŶƚƐ - ǀŝ͘ EŝĐƚĂƵdžĞǀĞůŽƉŵĞŶƚ - ǀŝŝ...
AI summary The document contains a list of various categories and subcategories related to energy and utility management, including topics such as capital expenditures, demand-side management, and energy efficiency programs. It also includes references to regulatory processes and legal frameworks in Nova Scotia.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ ŝƐƐƵĞƐǁŝůůĞdžŝƐƚǁŚŝĐŚǁŽƵůĚĂĚǀĞƌƐĞůLJĂĨĨĞĐƚĚĞŵŽůŝƚŝŽŶƉůĂŶŶŝŶŐ͘ůůĨŝƐŚĞƌŝĞƐƌĞůĂƚĞĚŝŶĨƌĂƐƚƌƵĐƚƵƌĞĂƚ ĞĂĐŚƐŝƚĞǁŝůůďĞƌĞŵŽǀĞĚďLJŽƚŚĞƌƐĞdžĐĞƉƚǁŚĞƌĞƐƉĞĐŝ...
AI summary This document discusses regulatory proceedings related to energy efficiency, demand-side management, and stakeholder engagement. It outlines the role of the Nova Scotia Utility and Review Board (NSURB) and Nova Scotia Power (NSP) in managing energy programs, stakeholder participation, and ensuring equitable access to energy services. Key themes include program evaluation, stakeholder input, and regulatory compliance.
REDACTED Hydro Asset Study Appendix C Page 21 of 143 REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2026-2027 GRA U-10 Attachment 1 Page 21 of 143 EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;L...
AI summary The text discusses the analysis of hydro assets and the implications of various factors on energy management and regulation. It highlights the challenges in managing energy resources, the importance of accurate assessments, and the impact of regulatory decisions on energy efficiency and infrastructure planning.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ ĂďĂƚĞŵĞŶƚŽƌŽƚŚĞƌŚĂnjĂƌĚŽƵƐŵĂƚĞƌŝĂůŽƌĞŶǀŝƌŽŶŵĞŶƚĂůŝƐƐƵĞƐĂƚƚŚŝƐƐŝƚĞƚŚĂƚǁŽƵůĚĂĚǀĞƌƐĞůLJ ĂĨĨĞĐƚĚĞŵŽůŝƚŝŽŶƉůĂŶŶŝŶŐ͘EŽƚĞƚŚĂƚƚŚĞƌĞŝƐƐŽŵĞŵĂƚĞƌŝĂůůĂLJĚŽ...
AI summary The document discusses the NSURB's review of Nova Scotia Power's (NSP) fuel-cost-adjustment mechanism and its impact on rate structures, including concerns about perverse incentives and the need for adjustments to ensure fair cost recovery and affordability. It also addresses various topics such as demand-side management, energy efficiency programs, and regulatory processes.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ - x ZĞŵŽǀĞĞdžƉŽƐĞĚŝŶƚĞƌŝŽƌƐƚĞĞůƉĞŶƐƚŽĐŬĂŶĚƌĞůĂƚĞĚƉĂƌƚƐ͖ĂůƐŽƌĞŵŽǀĞƐĐƌŽůůĐĂƐĞ͕ƚŚƌŽĂƚƌŝŶŐ͕ƐƚĞĞůĚƌĂĨƚͲ ƚƵďĞƉĂƌƚƐĂŶĚŽƚŚĞƌƌĞůĂƚĞĚŵŝƐĐĞůůĂŶĞŽƵƐŝƚĞŵƐ͘^...
AI summary The text discusses various aspects of energy regulation, including fuel-cost-adjustment mechanisms, demand-side-management programs, and the role of the Nova Scotia Utility and Review Board. It highlights concerns about perverse incentives, program evaluations, and the impact of policy decisions on energy efficiency and affordability.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ - x /ŶƐƚĂůůƐŝůƚ͕ĚĞďƌŝƐĂŶĚĞŶǀŝƌŽŶŵĞŶƚĂůĐŽŶƚĂŝŶŵĞŶƚƐ͕ƚĞŵƉŽƌĂƌLJƐĞĐƵƌŝƚLJĨĞŶĐŝŶŐ;ĐŚĂŝŶͲůŝŶŬͿ͕ƐŝůƚĨĞŶĐĞ͕Ɛŝůƚ ĐƵƌƚĂŝŶĂŶĚŽŝůŵ͘ - x ZĞŵŽǀĂůŽĨĂĐĐĞƐƐŝď...
AI summary The document discusses various regulatory and operational issues related to energy management, including the need for updated programs, stakeholder engagement, and the evaluation of energy efficiency initiatives. It highlights concerns around program effectiveness, compliance, and the importance of stakeholder input in decision-making processes.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ x KƵƚůĞƚ;ƌĂĨƚͲƚƵďĞͿůĂƐƐŝĨŝĐĂƚŝŽŶʹĂƚĞŐŽƌLJ͕ƚŚĞƚĂŝůƌĂĐĞĐŚĂŶŶĞůǁŝůůƌĞƋƵŝƌĞƌĞŵĞĚŝĂƚŝŽŶƚŽƚŚĞŽƌŝŐŝŶĂů ĞĂƌZŝǀĞƌĂůŝŐŶŵĞŶƚ͘ - x ŽŶƐƚƌƵĐƚĂĚĚŝƚŝŽŶĂůŵĂƚĞƌŝ...
AI summary The document discusses various aspects of Nova Scotia Power's operations, including fuel-cost-adjustment mechanisms, energy-efficiency programs, and regulatory processes. It covers topics such as cost-recovery, demand-side-management, and regulatory compliance, with a focus on program evaluations and stakeholder engagement.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ - x /ŶĨŝůů ĨŽƵŶĚĂƚŝŽŶ ƐƵďƐƚƌƵĐƚƵƌĞ ĞdžĐĂǀĂƚŝŽŶ ǁŝƚŚ ĐŽŵƉĂĐƚĞĚ ŐƌĂŶƵůĂƌ ŵĂƚĞƌŝĂů ĂŶĚ ƐĞůĞĐƚĞĚ ĚĞŵŽůŝƚŝŽŶ ĚĞďƌŝƐƚŽƚŚĞƚĂŝůƌĂĐĞĐŽĨĨĞƌĚĂŵ͘dŚĞĐŽĨĨĞƌĚ...
AI summary The text discusses the management of energy and utility regulations, emphasizing the importance of fair and effective policies, stakeholder engagement, and the implementation of energy efficiency measures. It highlights the need for accurate cost recovery mechanisms and the challenges in aligning rates with actual costs.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ &ŽůůŽǁŝŶŐĚĞŵŽůŝƚŝŽŶƉůĂŶŶŝŶŐĐĂƚĞŐŽƌŝnjĂƚŝŽŶƐĂƉƉůLJƚŽƚŚĞDĞƚŚĂůƐĨĂĐŝůŝƚLJ͗ - x /ŶƚĂŬĞůĂƐƐŝĨŝĐĂƚŝŽŶͲĂƚĞŐŽƌLJ͕ƉĞŶƐƚŽĐŬƉŝƉĞŝƐĞdžƉŽƐĞĚĂďŽǀĞŐƌŽƵŶĚ͖ - x...
AI summary The document outlines various regulatory considerations related to energy efficiency, affordability, and program implementation in Nova Scotia. It discusses the importance of fuel-cost-adjustment mechanisms, the role of demand-side management, and the need for equitable access to energy programs. It also highlights the challenges in implementing energy efficiency initiatives and the need for stakeholder engagement.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ - x ŝƐƉŽƐĂů ŽĨ ĐŽŶƐƚƌƵĐƚŝŽŶ ĂŶĚ ĚĞŵŽůŝƚŝŽŶ ĚĞďƌŝƐ ʹ ƚƌƵĐŬ ƐĞůĞĐƚĞĚ ŵĂƚĞƌŝĂů ƚŽ ŶŶĂƉŽůŝƐ Žƌ ,ĂůŝĨĂdž ĨŽƌ ĐŽŶƐƚƌƵĐƚŝŽŶĚĞďƌŝƐĚŝƐƉŽƐĂů͕ǁŚŝůĞƐƵŝƚĂďů...
AI summary The document discusses the implementation of energy efficiency programs, the evaluation of cost recovery mechanisms, and the impact of regulatory decisions on program design and customer affordability. It also highlights the need for stakeholder engagement and the importance of aligning program goals with broader policy objectives.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ ĞŵŽůŝƚŝŽŶ ƉůĂŶŶŝŶŐ ĨŽƌ ƚŚŝƐ ĨĂĐŝůŝƚLJ ǁŝůů ĐŽŶƐŝĚĞƌ ƚŚĂƚ ƚŚĞ ŝŶƚĂŬĞ ƉĞŶƐƚŽĐŬ ƉŝƉĞůŝŶĞ ǁŝůů ďĞ ĚĞǁĂƚĞƌĞĚĂŶĚƌĞŵŽǀĞĚďLJŽƚŚĞƌƐ͕ĂůůĞůĞĐƚƌŝĐĂůĂŶĚĐŽŵŵ...
AI summary The document discusses various aspects of energy regulation, including the impact of the fuel-cost-adjustment mechanism, the need for effective demand-side management, and the importance of asset retirement obligations. It also covers topics such as renewable energy, grid modernization, and the role of regulatory processes in ensuring compliance and fairness.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ ĨŝůƚĞƌƐ ĂŶĚ ƌĞůĂƚĞĚ ƉŝƉŝŶŐ͕ ƚŚƌŽƚƚůĞ ůŝŶŬĂŐĞ ĐŽŵƉŽŶĞŶƚƐ͕ ĞůĞĐƚƌŝĐĂů ĂŶĚ ĐŽŵŵƵŶŝĐĂƚŝŽŶƐ ĐĂďůĞƐ ĂŶĚ ŵŝƐĐĞůůĂŶĞŽƵƐƐŵĂůůĞƌĞƋƵŝƉŵĞŶƚĂŶĚƉŝƉŝŶŐ͘ - x Z...
AI summary The text discusses regulatory issues related to energy efficiency programs, cost recovery mechanisms, and stakeholder engagement in Nova Scotia. It highlights the need for proper implementation of programs, evaluation of performance, and ensuring affordability and equity in energy services. Key topics include program evaluation, cost recovery, and stakeholder participation.
,ĞůůƐ'ĂƚĞĞǀĞůŽƉŵĞŶƚ dŚĞ ,ĞůůƐ 'ĂƚĞ ĞǀĞůŽƉŵĞŶƚ ŝƐ ĐŽŵƉƌŝƐĞĚ ŽĨ ƚǁŽ ŐĞŶĞƌĂƚŝŶŐ ƵŶŝƚƐ ŬŶŽǁŶ ĂƐ ,ĞůůƐ 'ĂƚĞ EŽ͘ ϭ ĂŶĚ ,ĞůůƐ 'ĂƚĞ EŽ͘ Ϯ͘ dŚĞLJ ƐŚĂƌĞ Ă ƐŝŶŐůĞ ƉŽǁĞƌŚŽƵƐĞ ƐƚƌƵĐƚƵƌĞǁŚŝĐŚǁĂƐ ĨŝƌƐƚ ĐŽŶƐƚƌƵĐƚĞĚ ƚŽ ŚŽƵƐĞ hŶŝƚ EŽ͘ ϭ ŝŶ ĂďŽƵƚ ϭϵϯϬ͘ dŚĞ Ɖ...
AI summary The document discusses the ,ĞůůƐ 'ĂƚĞĞǀĞůŽƉŵĞŶƚ, including its history, implementation, and challenges. It mentions the establishment of the ,ĞůůƐ 'ĂƚĞ in 1930 and 1949, and evaluates its impact on energy efficiency and affordability. The document also highlights the role of the ,ĞůůƐ 'ĂƚĞ in managing energy resources and addressing issues related to program implementation.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ x KƵƚůĞƚ;ƌĂĨƚͲƚƵďĞͿůĂƐƐŝĨŝĐĂƚŝŽŶʹĂƚĞŐŽƌLJ͕ƚŚĞĚƌĂĨƚƚƵďĞƐĚŝƐĐŚĂƌŐĞĨůŽǁĂůŵŽƐƚĚŝƌĞĐƚůLJŝŶƚŽƚŚĞůĂĐŬ ZŝǀĞƌ͘ - x /ŶƐƚĂůůƐŝůƚ͕ĚĞďƌŝƐĂŶĚĞŶǀŝƌŽŶŵĞŶƚĂůĐŽŶ...
AI summary The text discusses various aspects of energy regulation and management, including the role of the Board in overseeing fuel-cost-adjustment mechanisms, the implementation of demand-side management programs, and the evaluation of energy efficiency initiatives. It also covers topics such as asset retirement obligations, affordability, and the integration of renewable energy sources into the grid.
tŚŝƚĞZŽĐŬĞǀĞůŽƉŵĞŶƚ ŽŵƉůĞƚĞĚ ŝŶ ϭϵϱϮ͕ ƚŚĞ tŚŝƚĞ ZŽĐŬ ĞǀĞůŽƉŵĞŶƚ ŝƐ ĐŽŵƉƌŝƐĞĚ ŽĨ Ă ƐŝŶŐůĞ ǀĞƌƚŝĐĂů ƵŶŝƚ ǁŝƚŚ ŽƵƚƉƵƚ ĐĂƉĂĐŝƚLJ ŽĨ ĂďŽƵƚ ϯ͘Ϯ Dt ĨƌŽŵ ĂďŽƵƚ ϱϴ ĨĞĞƚ ŽĨ ŚĞĂĚ͘ dŚĞ ƉŽǁĞƌŚŽƵƐĞ ŝƐ ĨĞĚ ďLJ Ă ĚĞĚŝĐĂƚĞĚ ĞdžƉŽƐĞĚ &ZW ƉĞŶƐƚŽĐŬ ƉŝƉĞ ǁŝƚŚ...
AI summary The text discusses the Nova Scotia Power (NSP) tŚŝƚĞ ZŽĐŬ ĞǀĞůŽƉŵĞŶƚ, which is a regulatory proceeding related to a 1952 agreement. The proceeding involves evaluating the fairness and prudence of the agreement, which includes rate adjustments, program evaluations, and the impact of various energy efficiency initiatives. It also touches on the role of the Energy Efficiency and Conservation Act and the importance of stakeholder engagement.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ - x /ŶƐƚĂůůƐŝůƚ͕ĚĞďƌŝƐĂŶĚĞŶǀŝƌŽŶŵĞŶƚĂůĐŽŶƚĂŝŶŵĞŶƚƐ͕ƚĞŵƉŽƌĂƌLJƐĞĐƵƌŝƚLJĨĞŶĐŝŶŐ;ĐŚĂŝŶͲůŝŶŬͿ͕ƐŝůƚĨĞŶĐĞ͕Ɛŝůƚ ĐƵƌƚĂŝŶĂŶĚŽŝůŵ͘ - x ZĞŵŽǀĂůŽĨĂĐĐĞƐƐŝď...
AI summary The text discusses various aspects of regulatory proceedings, including energy efficiency programs, affordability, and stakeholder engagement. It addresses concerns about program effectiveness, stakeholder participation, and the need for transparent and equitable energy policies. Key themes include energy efficiency, affordability, and stakeholder involvement.
&ĂůůZŝǀĞƌĞǀĞůŽƉŵĞŶƚ /ŶϭϵϴϱĂŶĞǁŚLJĚƌŽͲĞůĞĐƚƌŝĐƉŽǁĞƌŐĞŶĞƌĂƚŝŽŶƐƚĂƚŝŽŶǁĂƐĐŽŵŵŝƐƐŝŽŶĞĚŝŶ&ĂůůZŝǀĞƌ͕ϭϱŵŝůĞƐ ŶŽƌƚŚŽĨ,ĂůŝĨĂdž͘dŚŝƐƉůĂŶƚƌĞƉůĂĐĞĚĂŶĞĂƌůŝĞƌƉŽǁĞƌŐĞŶĞƌĂƚŝŶŐƐƚĂƚŝŽŶĂƚŽƌŶĞĂƌƚŚŝƐƐŝƚĞǁŚŝĐŚ ŽƉĞƌĂƚĞĚĨŽƌƐĞǀĞƌĂůĚĞĐĂĚĞƐďĞĨŽƌĞďĞŝŶŐĚĞĐŽŵŵŝƐƐŝŽŶĞĚŝ...
AI summary This text discusses the historical context and regulatory proceedings related to Nova Scotia's energy sector, including topics such as fuel-cost-adjustment mechanisms, energy efficiency programs, and regulatory oversight. It references past proceedings and outlines key considerations in the regulation of energy and utility services.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ - x ZĞŵŽǀĂů ŽĨ ƐŵĂůůŵĂĐŚŝŶĞƌLJĂŶĚ ƚƵƌďŽŐĞŶĞƌĂƚŽƌŵĞĐŚĂŶŝĐĂůĂŶĚĞůĞĐƚƌŝĐĂů ĐŽŶƚƌŽůƐŝŶĐůƵĚŝŶŐ ďƵƚ ŶŽƚ ůŝŵŝƚĞĚ ƚŽ ĐŽŵƉƌĞƐƐŽƌƐĂŶĚ ƚĂŶŬƐ͕ŐŽǀĞƌŶŽƌƐĂŶĚ...
AI summary The text discusses issues related to energy efficiency, regulatory processes, and cost recovery mechanisms within Nova Scotia's energy sector. It highlights concerns about fuel-cost-adjustment mechanisms, affordability, and the impact of energy efficiency programs on consumers and providers.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ &ŽůůŽǁŝŶŐĚĞŵŽůŝƚŝŽŶƉůĂŶŶŝŶŐĐĂƚĞŐŽƌŝnjĂƚŝŽŶƐĂƉƉůLJƚŽƚŚĞǀŽŶEŽ͘ϮĨĂĐŝůŝƚLJ͗ - x /ŶƚĂŬĞůĂƐƐŝĨŝĐĂƚŝŽŶͲĂƚĞŐŽƌLJ͕ƉĞŶƐƚŽĐŬƉŝƉĞŝƐďƵƌŝĞĚďĞůŽǁŐƌŽƵŶĚ͖ - x ƌ...
AI summary The text outlines various regulatory and operational considerations in the energy sector, including cost recovery, demand-side management, and program evaluation. It highlights challenges related to fuel-cost-adjustment mechanisms, asset management, and stakeholder engagement. The discussion also touches on the need for effective program evaluation and the importance of ensuring equitable access to energy programs.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ ĐŽǀĞƌĨŽƌĞĂĐŚƵŶŝƚŝƐůŽĐĂƚĞĚĂƚƚŚĞƚƵƌďŝŶĞĨůŽŽƌ͘^ƚĞĞůƉĞŶƐƚŽĐŬƉŝƉĞƐĂŶĚďƵƚƚĞƌĨůLJǀĂůǀĞƐĂƌĞ ĂĐĐĞƐƐĞĚŝŶƚŚĞďĂƐĞŵĞŶƚ;ƚƵƌďŝŶĞĨůŽŽƌͿĂƌĞĂĨŽƌďŽƚŚĚĞǀĞůŽƉŵĞŶƚƐ͘...
AI summary The document discusses a regulatory proceeding related to energy efficiency and conservation in Nova Scotia, including the Energy Efficiency and Conservation Act (EECA) and the role of various stakeholders. It outlines measures and considerations for energy efficiency programs and the impact of policy decisions on the energy sector.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ ĂŶĚĐŽŶŶĞĐƚŝŽŶĨŽƌƚŚĞĐƌĂŶĞŵĂLJďĞƌĞƋƵŝƌĞĚ͘dŚŽƐĞĐŽŵƉŽŶĞŶƚƐĐĂŶƚŚĞŶďĞƐĞƚĂƐŝĚĞĂƐƌĞƋƵŝƌĞĚĨŽƌ ƐĂůǀĂŐĞĂŶĚĚŝƐƉŽƐĂůŽŶĐĞƚŚĞƌŽŽĨƐƚƌƵĐƚƵƌĞŝƐƌĞŵŽǀĞĚ͘ - x ZĞŵŽǀ...
AI summary The text discusses the need for regulatory actions to address issues in the energy sector, including fuel-cost-adjustment mechanisms, affordability, and the implementation of energy efficiency programs. It highlights concerns with current practices and the importance of aligning policies and programs with broader energy and environmental goals.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ x KƵƚůĞƚ ;ƌĂĨƚͲƚƵďĞͿ ůĂƐƐŝĨŝĐĂƚŝŽŶ ʹ ĂƚĞŐŽƌLJ ͕ Ă ůĞŶŐƚŚLJ ĐŽŶƐƚƌƵĐƚĞĚ ƚĂŝůƌĂĐĞ ĐŚĂŶŶĞů ǁŝůů ƌĞƋƵŝƌĞ ƌĞŵĞĚŝĂƚŝŽŶ͘ - x /ŶƐƚĂůůƐŝůƚ͕ĚĞďƌŝƐĂŶĚĞŶǀŝ...
AI summary The document discusses various aspects of energy regulation and management, including the implementation of energy efficiency programs, cost recovery mechanisms, and stakeholder engagement. It highlights the importance of ensuring equitable access to energy and the need for effective program evaluation and compliance with regulatory standards.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ x KƵƚůĞƚ ;ƌĂĨƚͲƚƵďĞͿ ůĂƐƐŝĨŝĐĂƚŝŽŶ ʹ ĂƚĞŐŽƌLJ ͕ Ă ůĞŶŐƚŚLJ ĐŽŶƐƚƌƵĐƚĞĚ ƚĂŝůƌĂĐĞ ĐŚĂŶŶĞů ǁŝůů ƌĞƋƵŝƌĞ ƌĞŵĞĚŝĂƚŝŽŶ͘ - x /ŶƐƚĂůůƐŝůƚ͕ĚĞďƌŝƐĂŶĚĞŶǀŝ...
AI summary The text outlines various issues and considerations within a regulatory proceeding, including the evaluation of energy efficiency and conservation mechanisms, the impact of fuel-cost-adjustment mechanisms, and the discussion of cost-recovery and affordability concerns. It also touches on the need for stakeholder engagement and the evaluation of programs and policies.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ - x ŝƐƉŽƐĂůŽĨĐŽŶƐƚƌƵĐƚŝŽŶĂŶĚĚĞŵŽůŝƚŝŽŶĚĞďƌŝƐʹƚƌƵĐŬƐĞůĞĐƚĞĚŵĂƚĞƌŝĂůƐ ƚŽĂĚĞƐŝŐŶĂƚĞĚĐŽŶƐƚƌƵĐƚŝŽŶ ĚĞďƌŝƐĚŝƐƉŽƐĂůĨĂĐŝůŝƚLJ͕ǁŚŝůĞƐƵŝƚĂďůĞŽƚŚĞƌŵĂƚĞƌŝĂ...
AI summary The document discusses the need for regulatory oversight in energy management, emphasizing the importance of accurate cost recovery mechanisms and the challenges associated with aligning base rates with actual costs. It highlights the role of energy efficiency programs and the need for stakeholder engagement in the regulatory process.
>ŽǁĞƌ'ƌĞĂƚƌŽŽŬĞǀĞůŽƉŵĞŶƚ ƚ ƚŚĞ >ŽǁĞƌ 'ƌĞĂƚ ƌŽŽŬ ĞǀĞůŽƉŵĞŶƚ ;DĞƌƐĞLJEŽ͘ϳĂŶĚϴͿ͕ĐŽŵƉůĞƚĞĚŝŶĂďŽƵƚϭϵϱϱ͕ ŝŶĨůŽǁĨƌŽŵƚŚĞŝŐ&ĂůůƐƚĂŝůƌĂĐĞƌĞͲĞŶƚĞƌƐƚŚĞ ƌŝǀĞƌ ƐŽŵĞ ĚŝƐƚĂŶĐĞ ƵƉƐƚƌĞĂŵ ŽĨ ƚŚĞ >ŽǁĞƌ 'ƌĞĂƚƌŽŽŬ&ĂĐŝůŝƚLJĂŶĚŝƐĐŚĂŶŶĞůůĞĚƚŚƌŽƵŐŚ ƚŚĞ ŝŶƚĞŐƌĂů ƉŽǁ...
AI summary The document discusses the >ŽǁĞƌ 'ƌĞĂƚ ƌŽŽŬ ĞǀĞůŽƉŵĞŶƚ, including its implementation, impact on energy efficiency, and related metrics such as 2.26Dt and 4.56Dt. It mentions the role of the DĞƌƐĞLJ ZŝǀĞƌ and outlines the regulatory framework surrounding the program.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ ĐŚĂŵďĞƌ͕ĂŶĚůŽǁĞƌĚƌĂĨƚͲƚƵďĞŽƵƚůĞƚƚŽƚŚĞƚĂŝůƌĂĐĞĐŚĂŶŶĞů͘dŚĞŚĞĂĚŐĂƚĞƐĂƌĞůŽĐĂƚĞĚŝŶƐŝĚĞ ƚŚĞ ƉŽǁĞƌŚŽƵƐĞ ƐƚƌƵĐƚƵƌĞŝŶĂ ĐŽŶĨŝŐƵƌĂƚŝŽŶǁŚŝĐŚ ŝƐ ƌĞŵĂƌŬĂďůLJ...
AI summary The document discusses the implementation of a regulatory proceeding concerning energy efficiency and conservation, including the evaluation of mechanisms, stakeholder involvement, and the impact of various programs. It outlines key considerations, such as the evaluation of cost-recovery mechanisms, affordability, and the role of different stakeholders in the regulatory process.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ - x ZĞŵŽǀĂů ŽĨ ,s ĞƋƵŝƉŵĞŶƚ ĂŶĚ ůŽĐĂůŝnjĞĚ ŚĞĂƚŝŶŐ ƵŶŝƚƐ ĨŽƌ ĂƌĞĂƐ ǁŝƚŚŝŶ ƚŚĞ ďƵŝůĚŝŶŐ ĂŶĚ ĨŽƌ ƚŚŽƐĞ ŚĞĂƚĞƌƐƐƚƌĂƚĞŐŝĐĂůůLJƉůĂĐĞĚƚŽƉƌŽǀŝĚĞĂƐƐŝƐƚ...
AI summary The text discusses various aspects of energy efficiency and conservation in Nova Scotia, including the implementation of programs, stakeholder engagement, and regulatory considerations. It highlights challenges in aligning rate structures with actual costs, the importance of stakeholder input, and the evaluation of energy efficiency initiatives.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ x 'ƌĂǀĞůǁŽŽĚƐƌŽĂĚƐŝŶƚŚĞĂƌĞĂƐŚŽƵůĚƌĞŵĂŝŶŝŶƉůĂĐĞƚŽĨĂĐŝůŝƚĂƚĞŐƌŽƵŶĚͲƐĞĂƌĐŚƌĞƐĐƵĞĂŶĚĨŝƌĞͲĨŝŐŚƚŝŶŐ ĂĐƚŝǀŝƚŝĞƐ͘ dŚĞďƵůŬŽĨĐŽƐƚƐĂƐƐŽĐŝĂƚĞĚǁŝƚŚƚŚĞĚĞĐŽŵŵ...
AI summary The document discusses the impact of the Energy Efficiency and Conservation Act Nova Scotia (EECA) on utility practices, particularly focusing on the challenges of aligning base rates with actual costs and the implications for energy efficiency programs. It highlights the need for better alignment and the role of regulatory oversight in ensuring effective implementation.
ĞĞƉƌŽŽŬĞǀĞůŽƉŵĞŶƚ ƚƚŚĞĞĞƉƌŽŽŬĞǀĞůŽƉŵĞŶƚ;DĞƌƐĞLJEŽ͘ϵĂŶĚϭϬͿ͕ĐŽŵƉůĞƚĞĚŝŶĂďŽƵƚϭϵϱϬ͕ŝŶĨůŽǁĨƌŽŵ >ŽǁĞƌ'ƌĞĂƚƌŽŽŬĂŶĚƚŚĞDĞƌƐĞLJZŝǀĞƌŝƐĚŝǀĞƌƚĞĚĂƚƚŚĞĞĞƉƌŽŽŬŝǀĞƌƐŝŽŶĂŵƚŽƚŚĞĞĞƉ ƌŽŽŬ,ĞĂĚWŽŶĚ͕ĂĐƌŽƐƐĂŶĚŶŽƌƚŚĞĂƐƚŽĨZŝǀĞƌZŽĂĚ͕ǁŚĞƌĞŝƚŝƐĐŚĂŶŶĞůůĞĚ ƚŚƌŽƵŐŚĂŐĂƚĞĚ...
AI summary The document discusses the historical context and regulatory aspects of the Energy Efficiency and Conservation Act Nova Scotia (EECA), including the implementation of the Act, the role of the Board in setting rates and managing energy efficiency programs, and the evaluation of program effectiveness and cost recovery mechanisms.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ x KƵƚůĞƚ ;ƌĂĨƚͲƚƵďĞͿ ůĂƐƐŝĨŝĐĂƚŝŽŶ ʹ ĂƚĞŐŽƌLJ ͕ Ă ůĞŶŐƚŚLJ ĂŶĚ ďƌŽĂĚ ĐŽŶƐƚƌƵĐƚĞĚ ƚĂŝůƌĂĐĞ ĐŚĂŶŶĞů ǁŝůů ƌĞƋƵŝƌĞƐŝŐŶŝĨŝĐĂŶƚƌĞŵĞĚŝĂƚŝŽŶ͘ - x ŽŶƐƚƌ...
AI summary The text discusses various aspects of energy efficiency and conservation in Nova Scotia, including mechanisms for managing energy costs, programs for residential and commercial energy use, and regulatory processes. It highlights the importance of addressing energy consumption patterns, stakeholder engagement, and ensuring equitable access to energy programs.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ - x /ŶĨŝůů ĨŽƵŶĚĂƚŝŽŶ ƐƵďƐƚƌƵĐƚƵƌĞ ĞdžĐĂǀĂƚŝŽŶ ǁŝƚŚ ĐŽŵƉĂĐƚĞĚ ŐƌĂŶƵůĂƌ ŵĂƚĞƌŝĂů ĂŶĚ ƐĞůĞĐƚĞĚ ĚĞŵŽůŝƚŝŽŶ ĚĞďƌŝƐƚŽƚŚĞƚĂŝůƌĂĐĞĐŽĨĨĞƌĚĂŵ͘dŚĞĐŽĨĨĞƌĚ...
AI summary The document discusses the implementation of energy efficiency and conservation initiatives under the Energy Efficiency and Conservation Act Nova Scotia, emphasizing the need for accurate cost recovery mechanisms, stakeholder engagement, and program evaluation. Key considerations include program effectiveness, affordability, and regulatory oversight.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ ĚŝǀĞƌƐŝŽŶƉĂƐƚƚŚĞƉŽǁĞƌŚŽƵƐĞůŽĐĂƚŝŽŶƚŽĂǀŽŝĚƉŽƚĞŶƚŝĂůĞƌŽƐŝŽŶĂŶĚůŽĐĂů ĨůŽŽĚŝŶŐƉƌŽďůĞŵƐ ĂƐƐŽĐŝĂƚĞĚǁŝƚŚŚĂǀŝŶŐƚŚĞƌŝǀĞƌĨůŽǁƚŚƌŽƵŐŚĂĨŝůůĞĚĂƌĞĂůŽĐĂƚĞĚŝŶƚ...
AI summary The text discusses various aspects of energy efficiency and conservation in Nova Scotia, including mechanisms, programs, and stakeholder engagement. It outlines key themes such as fuel-cost-adjustment, energy-efficiency, and stakeholder participation in regulatory processes.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ - x ZĞŵŽǀĞ ĞdžƉŽƐĞĚ ŝŶƚĞƌŝŽƌ ƐƚĞĞů ƉĂƌƚƐ͖ ŝŶĐůƵĚŝŶŐ ƚŚƌŽĂƚ ƌŝŶŐ͕ ƐƚĞĞů ĚƌĂĨƚͲƚƵďĞ ƉĂƌƚƐ ĂŶĚ ŽƚŚĞƌ ƌĞůĂƚĞĚ ŵŝƐĐĞůůĂŶĞŽƵƐŝƚĞŵƐ͘^ƚŽĐŬƉŝůĞĂŶĚƐŽƌƚĨŽ...
AI summary The text discusses regulatory issues in Nova Scotia's energy sector, focusing on topics such as energy efficiency, cost recovery mechanisms, and stakeholder engagement. It touches on the Energy Efficiency and Conservation Act, program evaluations, and the importance of stakeholder participation in regulatory decisions.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ - x ƌĐŚŝƚĞĐƚƵƌĂůůĂƐƐŝĨŝĐĂƚŝŽŶʹĂƚĞŐŽƌLJ͕ƌĞŝŶĨŽƌĐĞĚĐŽŶĐƌĞƚĞ͕ƐƚĞĞůĂŶĚŵĂƐŽŶƌLJ͖ - x KƵƚůĞƚ ;ƌĂĨƚͲƚƵďĞͿůĂƐƐŝĨŝĐĂƚŝŽŶʹĂƚĞŐŽƌLJ͕ ƚŚĞĚƌĂĨƚ ƚƵďĞĚŝƐĐŚĂƌŐ...
AI summary The text discusses various aspects of regulatory proceedings in Nova Scotia, including fuel-cost-adjustment mechanisms, asset retirement obligations, and the impact of energy efficiency programs on cost recovery and affordability. It emphasizes the need for alignment between rate structures and actual costs, the importance of stakeholder engagement, and the challenges of implementing energy efficiency initiatives.
WĂƌĂĚŝƐĞĞǀĞůŽƉŵĞŶƚ ŽŵƉůĞƚĞĚŝŶϭϵϱϬĂƚWĂƌĂĚŝƐĞƌŽŽŬ͕Ăƚ ƚŚĞ ƚŽĞŽĨ ƚŚĞ^ŽƵƚŚDŽƵŶƚĂŝŶ͕ĂĐƌŽƐƐ ƚŚĞŶŶĂƉŽůŝƐ ZŝǀĞƌĂŶĚƐŽƵƚŚǁĞƐƚŽĨWĂƌĂĚŝƐĞŝŶŶŶĂƉŽůŝƐŽƵŶƚLJ͕ƚŚĞWĂƌĂĚŝƐĞƉůĂŶƚƉƌŽǀŝĚĞƐĂďŽƵƚϱ͘ϬDt ĨƌŽŵĂƐŝŶŐůĞǀĞƌƚŝĐĂůůLJŽƌŝĞŶƚĞĚŐĞŶĞƌĂƚŝŶŐƵŶŝƚĂƚĂďŽƵƚϰϲϯĨĞĞƚŽĨŚĞĂ...
AI summary The document discusses the impact of the fuel-cost-adjustment mechanism on rate structures and the need for regulatory oversight. It highlights concerns regarding the alignment of base rates with actual costs, the role of the Electricity Efficiency and Conservation Act, and the need for stakeholder engagement in the regulatory process.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ - x ZĞŵŽǀĂů ŽĨ ,s ĞƋƵŝƉŵĞŶƚ ĂŶĚ ůŽĐĂůŝnjĞĚ ŚĞĂƚŝŶŐ ƵŶŝƚƐ ĨŽƌ ĂƌĞĂƐ ǁŝƚŚŝŶ ƚŚĞ ďƵŝůĚŝŶŐ ĂŶĚ ĨŽƌ ƚŚŽƐĞ ŚĞĂƚĞƌƐƐƚƌĂƚĞŐŝĐĂůůLJƉůĂĐĞĚƚŽƉƌŽǀŝĚĞĂƐƐŝƐƚ...
AI summary The document discusses various aspects of energy regulation, including fuel-cost-adjustment mechanisms, the Electricity Efficiency and Conservation Act, and the management of energy resources and programs. It emphasizes the need for effective regulation, the importance of stakeholder engagement, and the challenges associated with implementing energy efficiency initiatives.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ - x ŽŶƐƚƌƵĐƚĂĚĚŝƚŝŽŶĂůŵĂƚĞƌŝĂůůĂLJͲĚŽǁŶĂƌĞĂĂƐƌĞƋƵŝƌĞĚ͘ - x /ŶƐƚĂůůƐŝůƚ͕ĚĞďƌŝƐĂŶĚĞŶǀŝƌŽŶŵĞŶƚĂůĐŽŶƚĂŝŶŵĞŶƚƐ͕ƚĞŵƉŽƌĂƌLJƐĞĐƵƌŝƚLJĨĞŶĐŝŶŐ;ĐŚĂŝŶͲůŝŶŬ...
AI summary The text discusses various aspects of energy regulation, including fuel-cost-adjustment mechanisms, demand-side management, and the impact of regulatory decisions on utility operations. It references legal and policy frameworks, stakeholder engagement, and technical considerations in energy planning and management.
ϭϭ͘ ^ŚĞĞƚ,ĂƌďŽƵƌ,LJĚƌŽůĞĐƚƌŝĐ^LJƐƚĞŵ dŚĞ ^ŚĞĞƚ ,ĂƌďŽƵƌ ,LJĚƌŽ ůĞĐƚƌŝĐ ^LJƐƚĞŵ ĐŽŶƐŝƐƚƐ ŽĨ ƚǁŽ ŚLJĚƌŽͲĞůĞĐƚƌŝĐ ĚĞǀĞůŽƉŵĞŶƚƐ ĂŶĚ ƚǁŽ ƉŽǁĞƌŚŽƵƐĞƐ͘ĂĐŚĚĞǀĞůŽƉŵĞŶƚĐŽŶƐŝƐƚƐŽĨƚŚƌĞĞǀĞƌƚŝĐĂůůLJŽƌŝĞŶƚĞĚƚƵƌďŽͲŐĞŶĞƌĂƚŝŶŐƵŶŝƚƐƚŚĂƚƵƚŝůŝnjĞ ǁĂƚĞƌĨƌŽŵůĂŬĞƐ...
AI summary This section discusses the evolution of the ^ŚĞĞƚ ,ĂƌďŽƵƌ and its role in managing energy efficiency and conservation in Nova Scotia. It outlines the development of the program from the 1960s to the 1970s and highlights the importance of the Electricity Efficiency and Conservation Act Nova Scotia (E^W/) in shaping its policies.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ ĞƉĞŶĚŝŶŐ ŽŶ ďĞĚƌŽĐŬ ĐŽŶĚŝƚŝŽŶƐ͕ ƚŚĞƌĞ ŵĂLJ ďĞ ůŝŵŝƚĞĚ ƉŽƚĞŶƚŝĂů Ăƚ ƚŚŝƐ ƐŝƚĞ ĨŽƌ ďƵƌLJŝŶŐ ĚĞŵŽůŝƚŝŽŶŐĞŶĞƌĂƚĞĚŵĂƚĞƌŝĂůƐ͘ &ŽůůŽǁŝŶŐĚĞŵŽůŝƚŝŽŶƉůĂŶ...
AI summary The document outlines various issues and considerations related to electricity efficiency and conservation in Nova Scotia. It discusses topics such as fuel-cost-adjustment mechanisms, demand-side-management programs, and the impact of policy changes on energy consumption and affordability. Key themes include the need for improved regulatory oversight and the importance of stakeholder engagement in the electricity sector.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ - x ZĞŵŽǀĞĞdžƉŽƐĞĚŝŶƚĞƌŝŽƌƐƚĞĞůƉĂƌƚƐ͖ŝŶĐůƵĚŝŶŐƚŚƌŽĂƚƌŝŶŐ͕ŚĞĂĚĐŽǀĞƌ͕ƐƚĞĞůĚƌĂĨƚͲƚƵďĞƉĂƌƚƐĂŶĚŽƚŚĞƌ ƌĞůĂƚĞĚŵŝƐĐĞůůĂŶĞŽƵƐŝƚĞŵƐ͘^ƚŽĐŬƉŝůĞĂŶĚƐŽƌƚĨŽƌƐĂ...
AI summary The text discusses regulatory proceedings related to energy efficiency, cost recovery, and stakeholder engagement in Nova Scotia. It outlines the need for stakeholder input, the evaluation of energy efficiency programs, and the importance of aligning policies with long-term energy goals. The text also touches on the role of the Board in ensuring equitable and effective program implementation.
ZƵƚŚ&ĂůůƐĞǀĞůŽƉŵĞŶƚ dŚĞ ĨŝƌƐƚ ƚǁŽ ZƵƚŚ &ĂůůƐ ĞǀĞůŽƉŵĞŶƚ ƵŶŝƚƐ ǁĞƌĞ ĐŽŵƉůĞƚĞĚ ŝŶ ϭϵϮϳ͕ ǁŝƚŚ Ă ĨŽůůŽǁͲŽŶ ƚŚŝƌĚ ƵŶŝƚ ŝŶƐƚĂůůĞĚ ĂŶĚ ĐŽŵƉůĞƚĞĚ ŝŶ ĂďŽƵƚ ϭϵϯϲ͘hŶŝƚƐEŽ͘ϭĂŶĚϮĞĂĐŚƉƌŽǀŝĚĞĂďŽƵƚ Ϯ͘ϮDtŽĨŐĞŶĞƌĂƚŝŽŶĐĂƉĂĐŝƚLJ͕ǁŚŝůĞhŶŝƚϯ ŚĂƐ ĂŶ ŽƵƚƉƵƚ ĐĂƉĂĐ...
AI summary The document discusses the history and evolution of the Nova Scotia Power (NSP) utility, including regulatory proceedings and financial considerations related to asset retirement obligations and electricity efficiency programs. It highlights the importance of rate design, cost recovery, and the role of the Electricity Efficiency and Conservation Act (E^W/).
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ - x /ŶƐƚĂůůƐŝůƚ͕ĚĞďƌŝƐĂŶĚĞŶǀŝƌŽŶŵĞŶƚĂůĐŽŶƚĂŝŶŵĞŶƚƐ͕ƚĞŵƉŽƌĂƌLJƐĞĐƵƌŝƚLJĨĞŶĐŝŶŐ;ĐŚĂŝŶͲůŝŶŬͿ͕ƐŝůƚĨĞŶĐĞ͕Ɛŝůƚ ĐƵƌƚĂŝŶĂŶĚŽŝůŵ͘ - x ZĞŵŽǀĂůŽĨĂĐĐĞƐƐŝď...
AI summary The text discusses regulatory and operational aspects of energy management, including demand-side management, energy efficiency, and regulatory processes. It highlights the importance of balancing affordability, cost recovery, and program effectiveness in energy-related initiatives.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ - x ŽŶƐƚƌƵĐƚĂĚĚŝƚŝŽŶĂůŵĂƚĞƌŝĂůůĂLJͲĚŽǁŶĂƌĞĂĂƐƌĞƋƵŝƌĞĚ͘ - x /ŶƐƚĂůůƐŝůƚ͕ĚĞďƌŝƐĂŶĚĞŶǀŝƌŽŶŵĞŶƚĂůĐŽŶƚĂŝŶŵĞŶƚƐ͕ƚĞŵƉŽƌĂƌLJƐĞĐƵƌŝƚLJĨĞŶĐŝŶŐ;ĐŚĂŝŶͲůŝŶŬ...
AI summary The document discusses various aspects of energy regulation and management, including fuel-cost-adjustment mechanisms, demand-side-management programs, and the impact of regulatory decisions on utility operations and customer affordability. It emphasizes the need for transparency, stakeholder engagement, and the alignment of programs with broader energy efficiency and sustainability goals.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ - x ĂĐŬĨŝůů ĂŶĚ ŝŶĨŝůů ĨŽƵŶĚĂƚŝŽŶ ƐƵďƐƚƌƵĐƚƵƌĞ ĂŶĚ ĚƌĂĨƚͲƚƵďĞ ĞdžĐĂǀĂƚŝŽŶ ǁŝƚŚ ĐŽŵƉĂĐƚĞĚ ĐůĞĂŶ ŐƌĂŶƵůĂƌ ŵĂƚĞƌŝĂůƚŽƚŚĞƚĂŝůƌĂĐĞĐŽĨĨĞƌĚĂŵ͘dŚĞĐŽĨĨĞ...
AI summary The document discusses the need for a comprehensive approach to energy efficiency, including the implementation of demand-side management programs, the importance of stakeholder engagement, and the evaluation of energy consumption trends. It also highlights the role of regulatory oversight and the need for compliance with energy efficiency standards.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ - x ƌĐŚŝƚĞĐƚƵƌĂůůĂƐƐŝĨŝĐĂƚŝŽŶʹĂƚĞŐŽƌLJ͕ƌĞŝŶĨŽƌĐĞĚĐŽŶĐƌĞƚĞĂŶĚƐƚƌƵĐƚƵƌĂůƐƚĞĞů͖ - x KƵƚůĞƚ ;ƌĂĨƚͲƚƵďĞͿůĂƐƐŝĨŝĐĂƚŝŽŶʹĂƚĞŐŽƌLJ͕ƚŚĞĚƌĂĨƚͲƚƵďĞĚŝƐĐŚĂƌŐ...
AI summary The text outlines various issues and considerations related to energy efficiency, conservation, and regulatory processes in Nova Scotia. It discusses topics such as fuel-cost-adjustment mechanisms, demand-side management, and regulatory oversight. Key themes include the evaluation of programs, the role of stakeholder engagement, and the impact of regulatory decisions on energy consumption and affordability.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ - x /ŶĨŝůůĨŽƵŶĚĂƚŝŽŶƐƵďƐƚƌƵĐƚƵƌĞĞdžĐĂǀĂƚŝŽŶǁŝƚŚĐŽŵƉĂĐƚĞĚĐůĞĂŶŐƌĂŶƵůĂƌŵĂƚĞƌŝĂůƚŽƚŚĞĞdžŝƐƚŝŶŐƚĂŝůƌĂĐĞ ĐŽĨĨĞƌĚĂŵƐƚƌƵĐƚƵƌĞ͘dŚĞĐŽĨĨĞƌĚĂŵĐĂŶƌĞŵĂŝŶŽŶĐ...
AI summary The text discusses the application of the Electricity Efficiency and Conservation Act, the management of energy efficiency programs, and the evaluation of cost-effectiveness in utility proceedings. It references the importance of stakeholder engagement and regulatory oversight in ensuring fair and efficient energy practices.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ x KƵƚůĞƚ;ƌĂĨƚͲƚƵďĞͿůĂƐƐŝĨŝĐĂƚŝŽŶʹĂƚĞŐŽƌLJ͕ƚŚĞĚƌĂĨƚƚƵďĞĚŝƐĐŚĂƌŐĞƐŝŶƚŽĂůĞŶŐƚŚLJƚĂŝůƌĂĐĞĐŚĂŶŶĞů ƚŚĂƚǁŝůůƌĞƋƵŝƌĞƐŝŐŶŝĨŝĐĂŶƚƌĞŵĞĚŝĂƚŝŽŶ͘ - x /ŶƐƚĂůů...
AI summary The document discusses various aspects of energy regulation in Nova Scotia, including the implementation of energy efficiency programs, the role of the Electricity Efficiency and Conservation Act, and the management of utility services. It also covers topics such as affordability, customer programs, and regulatory compliance.
ϭϯ͘ ^ƚ͘DĂƌŐĂƌĞƚ͛ƐĂLJ,LJĚƌŽůĞĐƚƌŝĐ^LJƐƚĞŵ dŚĞ ^ƚ͘ DĂƌŐĂƌĞƚ͛Ɛ ĂLJ ,LJĚƌŽ ůĞĐƚƌŝĐ ^LJƐƚĞŵ ĐŽŶƐŝƐƚƐ ŽĨ ƚŚƌĞĞ ŚLJĚƌŽͲĞůĞĐƚƌŝĐ ĚĞǀĞůŽƉŵĞŶƚƐ ĂŶĚ ƚǁŽ ƉŽǁĞƌŚŽƵƐĞƐ͘ĂĐŚĚĞǀĞůŽƉŵĞŶƚ ĐŽŶƐŝƐƚƐŽĨ ƚǁŽǀĞƌƚŝĐĂůůLJŽƌŝĞŶƚĞĚ ƚƵƌďŽͲŐĞŶĞƌĂƚŝŶŐƵŶŝƚƐ ƚŚĂƚƵƚŝůŝnjĞ ǁ...
AI summary The document discusses the historical development of utility regulation in Nova Scotia, focusing on the evolution of the Electricity Efficiency and Conservation Act, the role of the Nova Scotia Power, and the establishment of regulatory frameworks over time. It highlights key events, legal developments, and policy changes affecting energy management and customer service.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ WŽǁĞƌŚŽƵƐĞ ĂŶĚ ƐƵƌŐĞ ƚĂŶŬƐ ĂƌĞ ǀŝƐŝďůĞ ĨƌŽŵ ,ŝŐŚǁĂLJ ϭϬϯ͘ ĐĐĞƐƐ ƚŽ ƚŚĞ ƉŽǁĞƌŚŽƵƐĞ ŝƐ ǀŝĂ ĞdžŝƐƚŝŶŐŐƌĂǀĞůƚŽƉƉĞĚŽǁĂƚĞƌ͛ƐZŽĂĚƐŝŶƚŚĞdĂŶƚĂůůŽŶǀŝĐŝŶŝ...
AI summary The document discusses various aspects of regulatory proceedings in Nova Scotia, including fuel-cost-adjustment mechanisms, energy efficiency programs, and stakeholder engagement. It highlights concerns related to cost recovery, affordability, and the implementation of energy efficiency initiatives. Key topics include the impact of regulatory decisions on customers, the evaluation of programs, and the role of the Board in ensuring compliance and fair practices.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ ĨŝůƚĞƌƐ ĂŶĚ ƌĞůĂƚĞĚ ƉŝƉŝŶŐ͕ ƚŚƌŽƚƚůĞ ůŝŶŬĂŐĞ ĐŽŵƉŽŶĞŶƚƐ͕ ĞůĞĐƚƌŝĐĂů ĂŶĚ ĐŽŵŵƵŶŝĐĂƚŝŽŶƐ ĐĂďůĞƐ ĂŶĚ ŵŝƐĐĞůůĂŶĞŽƵƐƐŵĂůůĞƌĞƋƵŝƉŵĞŶƚĂŶĚƉŝƉŝŶŐ͘ - x Z...
AI summary The document discusses various aspects of energy regulation and management in Nova Scotia, including fuel-cost-adjustment mechanisms, demand-side management programs, and the impact of policy on energy efficiency and customer affordability. It highlights challenges in aligning rates with actual costs, ensuring equitable access, and managing stakeholder interests.
dƵƐŬĞƚĞǀĞůŽƉŵĞŶƚ dŚĞ dƵƐŬĞƚ ĞǀĞůŽƉŵĞŶƚ ƵƚŝůŝnjĞƐ ƚŚƌĞĞ ǀĞƌƚŝĐĂůůLJŽƌŝĞŶƚĞĚƚƵƌďŽͲŐĞŶĞƌĂƚŽƌƐǁŚŝĐŚĂƌĞ ĨĞĚĚŝƌĞĐƚůLJĨƌŽŵƚŚĞƉŽǁĞƌĐĂŶĂůĨŽƌĞďĂLJǀŝĂĂ ƚƌŝƉůĞŝŶƚĂŬĞƐƚƌƵĐƚƵƌĞ͘ dŚĞ ƉŽǁĞƌŚŽƵƐĞ ƐƚƌƵĐƚƵƌĞ ŝŶĐŽƌƉŽƌĂƚĞƐ Ă ŐĞŶĞƌĂƚŽƌ ĨůŽŽƌ ĂŶĚ ƐƵƉƉŽƌƚ ƐƚƌƵĐƚƵ...
AI summary The document discusses the history and evolution of the dƵƐŬĞƚĞǀĞůŽƉŵĞŶƚ (rate-setting process) in Nova Scotia, including the role of the ƐƵƉĞƌƐƚƌƵĐƚƵƌĞ (rate rider) and the impact of the Electricity Efficiency and Conservation Act (E^W) on rate structures and energy efficiency initiatives. It references past proceedings and regulatory actions from 1929 to 2023.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ ĞŵŽůŝƚŝŽŶ ƉůĂŶŶŝŶŐ ĨŽƌ ƚŚŝƐ ĨĂĐŝůŝƚLJǁŝůů ĐŽŶƐŝĚĞƌ ƚŚĂƚ ƚŚĞŝŶƚĂŬĞ ƐƚƌƵĐƚƵƌĞĂŶĚ ĨŽƌĞďĂLJǁŝůů ďĞ ĚĞǁĂƚĞƌĞĚ͕ĂŶĚĂůůĞůĞĐƚƌŝĐĂůĂŶĚĐŽŵŵƵŶŝĐĂƚŝŽŶƐĞƋƵŝƉ...
AI summary The proceeding discusses various aspects of energy efficiency and conservation, including the implementation of programs, stakeholder engagement, and the evaluation of initiatives. It covers topics such as fuel-cost-adjustment mechanisms, demand-side-management, and the integration of renewable energy sources into the grid.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ - x ĞŵŽůŝƐŚĞdžƚĞƌŝŽƌǁĂůůƐĂŶĚƌĞůĂƚĞĚĐŽŵƉŽŶĞŶƚƐ͕ƐƚŽĐŬƉŝůĞĚĞŵŽůŝƚŝŽŶŵĂƚĞƌŝĂůĨŽƌĚŝƐƉŽƐĂů͘ - x ZĞŵŽǀĞĂŶĚĚĞŵŽůŝƐŚŐĞŶĞƌĂƚŽƌĨůŽŽƌƌĞŝŶĨŽƌĐĞĚĐŽŶĐƌĞƚĞƐůĂď...
AI summary The text discusses the importance of accurate and timely regulation and management of energy efficiency and conservation programs, emphasizing the need for proper stakeholder engagement, program evaluation, and the alignment of incentives with policy goals. It highlights the challenges in implementing and monitoring such programs, as well as the need for effective oversight and compliance.
REDACTED Hydro Asset Study Appendix C Page 129 of 143 REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2026-2027 GRA U-10 Attachment 1 Page 129 of 143 EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz...
AI summary The text is heavily redacted and contains confidential information. It appears to be part of a regulatory proceeding document related to a hydro asset study and includes references to Nova Scotia Power (NSP) and the Electricity Efficiency and Conservation Act (E^W).
ϭϱ͘ tƌĞĐŬŽǀĞ,LJĚƌŽůĞĐƚƌŝĐ^LJƐƚĞŵ dŚĞtƌĞĐŬŽǀĞ,LJĚƌŽůĞĐƚƌŝĐ'ĞŶĞƌĂƚŝŶŐ^LJƐƚĞŵŝƐŵĂĚĞƵƉƚǁŽŚLJĚƌŽͲĞůĞĐƚƌŝĐĚĞǀĞůŽƉŵĞŶƚƐ͕'ŝƐďŽƌŶĞ ĂŶĚtƌĞĐŬŽǀĞƚŚĂƚĐŽůůĞĐƚĂŶĚŚĂƌŶĞƐƐĂƉŽƌƚŝŽŶŽĨƚŚĞǁĂƚĞƌƌĞƐŽƵƌĐĞƐŽĨƚŚĞĂƉĞƌĞƚŽŶ,ŝŐŚůĂŶĚƐ͘ dŚŝƐƐLJƐƚĞŵŝƐďLJĨĂƌƚŚĞůĂƌŐĞƐƚŚLJĚƌ...
AI summary The text discusses the regulation and management of energy efficiency and conservation in Nova Scotia, focusing on mechanisms and processes related to fuel cost adjustment, rate design, and the implementation of energy efficiency programs. It references the Electricity Efficiency and Conservation Act and mentions Nova Scotia Power as a key entity involved in these processes.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ ǁŝůů ďĞ ƌĞŵŽǀĞĚ ďLJ ŽƚŚĞƌƐ͘ /ƚ ŝƐ ĂůƐŽ ĂƐƐƵŵĞĚ ƚŚĂƚ ƚŚĞƌĞ ǁŝůů ďĞ ŶŽ ŽƵƚƐƚĂŶĚŝŶŐ ĂƐďĞƐƚŽƐ ĂďĂƚĞŵĞŶƚŽƌŽƚŚĞƌŚĂnjĂƌĚŽƵƐŵĂƚĞƌŝĂůƐŽƌĞŶǀŝƌŽŶŵĞŶƚĂůŝƐƐ...
AI summary The text discusses the regulatory process and challenges in Nova Scotia's electricity sector, focusing on the implementation of energy efficiency and conservation measures, as well as the role of various stakeholders in ensuring compliance and effective policy execution. It highlights the need for stakeholder engagement, compliance, and oversight in managing energy resources and programs.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ - x ŝƐĂƐƐĞŵďůLJŽĨZŽŽĨŝŶŐ͕^ŚĞĂƚŚŝŶŐĂŶĚƌĞůĂƚĞĚŵŝƐĐĞůůĂŶĞŽƵƐƉĂƌƚƐĂŶĚĐŽŵƉŽŶĞŶƚƐ͘^ĞƚĂƐŝĚĞ͕ƐƚŽĐŬƉŝůĞ ĨŽƌƐĂůǀĂŐĞĂŶĚĚŝƐƉŽƐĂů͘ - x ZĞŵŽǀĞŽǀĞƌŚĞĂĚƌŝĚŐĞƌĂ...
AI summary The text discusses the need for regulatory oversight in energy efficiency and conservation, addressing issues such as fuel-cost-adjustment mechanisms, affordability, and the implementation of energy efficiency programs. It emphasizes the importance of aligning rates with actual costs and ensuring equitable access to energy programs.
tƌĞĐŬŽǀĞĞǀĞůŽƉŵĞŶƚ tƌĞĐŬŽǀĞĞǀĞůŽƉŵĞŶƚǁĂƐĐŽŵƉůĞƚĞĚĂŶĚ ĐŽŵŵŝƐƐŝŽŶĞĚ ŝŶ ϭϵϳϴ ĂŶĚ ĐŽŶƐŝƐƚƐ ŽĨ ƚǁŽ ůĂƌŐĞ ǀĞƌƚŝĐĂůůLJ ŽƌŝĞŶƚĞĚ ƚƵƌďŽͲŐĞŶĞƌĂƚŽƌƐ ĞĂĐŚƉƌŽĚƵĐŝŶŐĂďŽƵƚϭϬϱDtĨƌŽŵĂƐŵƵĐŚ ĂƐϭϮϬϬĨĞĞƚŽĨŚĞĂĚ͕ǁŚŝĐŚŝƐĨĞĚĨƌŽŵ^ƵƌŐĞ >ĂŬĞ ŚĞĂĚ ƉŽŶĚ ůŽĐĂƚĞĚ Ăƚ ƚŚĞ...
AI summary The text discusses the history and development of the tƌĞĐŬŽǀĞĞǀĞůŽƉŵĞŶƚ regulatory process in Nova Scotia, focusing on the implementation of the Electricity Efficiency and Conservation Act (E^W/) and the role of the Nova Scotia Power (NSP) in shaping energy efficiency programs. It highlights the challenges faced in aligning base rates with actual costs and the impact of the fuel-cost-adjustment mechanism.
EKs^Kd/WKtZ/E͘Ͳ,zZKWZKhd/KE ^/dKDD/^^/KE/E'^d/Dd^hDDZz&KZ^^dZd/ZDEdK>/'d/KE^;ZKͿ^dhz;LJ^LJƐƚĞŵͿ ƉŽǁĞƌŚŽƵƐĞ ŚĂƐ ďĞĞŶ ĐŽŶƐƚƌƵĐƚĞĚ ŝƚ ǁŝůů ďĞ ŝŵƉƌĂĐƚŝĐĂů ƚŽ ĂƚƚĞŵƉƚ ƚŽ ĚĞŵŽůŝƐŚ ĂŶĚ ƌĞŵŽǀĞ ŝŶƚĞƌŝŽƌƐƚƌƵĐƚƵƌĂůĐŽŵƉŽŶĞŶƚƐĂŶĚŝŶĨŝůůƚŚĞ ĨĂĐŝůŝƚLJǁŝƚŚ...
AI summary The text discusses the need for regulatory oversight of Nova Scotia Power's fuel-cost-adjustment mechanism, addressing concerns over potential perverse incentives due to a lag between base rates and actual costs. It also highlights the importance of ensuring fair and equitable energy programs, stakeholder engagement, and compliance with regulatory standards and legislation.
N-92Compliance Filing - Standardized Filings - Redacted
48 passages
RATE CLASS DISAGGREGATION ANALYSIS FOR THE YEAR ENDING DECEMBER 31, 2026 CLASS : TOTAL COMPANY RATE BASE COSTS (Source Exh 6) Variable Fixed Unit Cost Fuel Operating Capital Return Total Total Cost Units Sold Demand Energy Customer Generat...
AI summary The document presents a rate class disaggregation analysis for the year ending December 31, 2026, detailing the rate base, costs, and unit costs for different classes within the total company. It includes breakdowns of variable and fixed costs, as well as energy and demand metrics.
,520 (10) % RESPONSIBILITY 100.00% 64.24% 3.28% 17.80% 2.03% 1.82% 2.34% 3.64% 3.00% 1.39% 0.47% D-3B (11) 3 CP DMD. - LESS INT. & ELIIR 6,777,270 4,353,838 222,264 1,206,116 137,482 123,550 158,818 246,525 203,227 93,931 31,520 (12) % RES...
AI summary The text presents a table with percentages of responsibility and numerical values for various categories, including energy generation and purchases, as well as related financial figures. It includes entries labeled with acronyms such as E-1A and E-1B, indicating different categories or reports.
OINCIDENT LINE COIN. PEAK COINCIDENT SALES LOSSES REQUIREMENT DMD. (KW) FACTOR DMD. (KW) LOSSES DMD. (KW) L/D FACTOR ( 1) DOMESTIC 650,516 8.70% 707,116 1,567,908 83.9% 1,315,928 14.13% 1,501,844 63.28% ( 2) SMALL GENERAL 39,647 8.65% 43,0...
AI summary The text presents a table showing sales, losses, and demand metrics across various customer categories, including domestic, industrial, and municipal. It includes metrics such as peak demand, losses, and load factors for each category, with a sub-total at the bottom.
1,141,031 2,407,553 85.2% 2,051,003 11.66% 2,290,115 74.14% (12) SHORE POWER (13) GEN.REPL./LOAD FOLL. (14) ELIADC (15) BUTU (16) REAL TIME PRICING (17) EBS/RTR (17) SUB-TOTAL 10,019 16.9% 10,341 94,092 175.2% 60,909 17.97% 63,763 0.00% (1...
AI summary The document contains a table with numerical data and a list of items related to energy systems, including SHORE POWER, GEN.REPL./LOAD FOLL., ELIADC, and others, followed by a redacted compliance filing related to the 2026-2027 GRA and an exhibit titled 'Sales, Generation and Demand Analysis for March 2026'.
NCIDENT LINE COIN. PEAK COINCIDENT SALES LOSSES REQUIREMENT DMD. (KW) FACTOR DMD. (KW) LOSSES DMD. (KW) L/D FACTOR ( 1) DOMESTIC 575,444 8.74% 625,765 1,226,893 87.4% 1,072,148 10.95% 1,189,517 70.71% ( 2) SMALL GENERAL 36,030 8.69% 39,162...
AI summary The document presents data on electricity demand, losses, and requirements across various customer categories, including domestic, industrial, and municipal. It includes metrics such as peak demand, load factor, and losses for each category, along with a sub-total. Additional entries reference specific programs and systems like Shore Power and ELIADC.
1,143,391 2,128,880 86.2% 1,834,051 9.32% 2,005,063 76.65% (12) SHORE POWER (13) GEN.REPL./LOAD FOLL. (14) ELIADC (15) BUTU (16) REAL TIME PRICING (17) EBS/RTR (17) SUB-TOTAL 6,369 17.0% 6,584 89,204 178.7% 60,139 16.58% 62,593 0.00% (18)...
AI summary The document contains a table of figures related to energy sales, generation, and demand analysis for April 2026, with various categories and percentages listed. It includes references to SHORE POWER, GEN.REPL./LOAD FOLL., ELIADC, and other terms, as well as a mention of a compliance filing related to the General Rate Adjustment (GRA).
NCIDENT LINE COIN. PEAK COINCIDENT SALES LOSSES REQUIREMENT DMD. (KW) FACTOR DMD. (KW) LOSSES DMD. (KW) L/D FACTOR ( 1) DOMESTIC 444,691 8.19% 481,109 1,030,722 86.6% 892,737 9.61% 978,550 68.29% ( 2) SMALL GENERAL 27,955 8.14% 30,231 57,8...
AI summary The document presents a detailed breakdown of electricity demand, sales, losses, and requirement factors across various customer categories, including domestic, small and large general, industrial, PHP, and municipal. It includes specific percentages and numerical values for each category, with a sub-total at the bottom.
NOVA SCOTIA POWER INC. SALES, GENERATION AND DEMAND ANALYSIS FOR MAY 2026 (1) (2) (3) (4) (5) (6) (7) (8) (9) ENERGY CLASS NON- SYSTEM SYSTEM DEMAND SYSTEM SYSTEM MWH LINE ENERGY COINCIDENT COINCIDENT COINCIDENT LINE COIN. PEAK COINCIDENT...
AI summary The document presents a sales, generation, and demand analysis for Nova Scotia Power Inc. for May 2026, including metrics such as energy sales, losses, system demand, and load factors.
OINCIDENT LINE COIN. PEAK COINCIDENT SALES LOSSES REQUIREMENT DMD. (KW) FACTOR DMD. (KW) LOSSES DMD. (KW) L/D FACTOR ( 1) DOMESTIC 361,131 7.97% 389,926 850,197 81.2% 690,370 8.70% 750,399 69.84% ( 2) SMALL GENERAL 25,685 7.93% 27,720 53,3...
AI summary The text presents a table showing various categories of electricity sales, losses, and demand factors across different customer classes in Nova Scotia. It includes metrics such as sales, losses, requirement, peak demand, and load factor for each category, with a sub-total at the end.
825,957 1,629,641 82.4% 1,343,472 7.09% 1,438,756 77.16% (12) SHORE POWER (13) GEN.REPL./LOAD FOLL. (14) ELIADC (15) BUTU (16) REAL TIME PRICING (17) EBS/RTR (17) SUB-TOTAL 13,359 15.9% 13,748 71,044 255.5% 43,893 15.22% 45,553 0.00% (18)...
AI summary The text presents a table with numerical data related to sales, generation, and demand analysis for June 2026, including various categories such as SHORE POWER, GEN.REPL./LOAD FOLL., and ELIADC, along with percentages and totals. The document is part of a compliance filing related to the General Rate Adjustment (GRA) for 2026-2027.
NOVA SCOTIA POWER INC. SALES, GENERATION AND DEMAND ANALYSIS FOR JUNE 2026 (1) (2) (3) (4) (5) (6) (7) (8) (9) ENERGY CLASS NON- SYSTEM SYSTEM DEMAND SYSTEM SYSTEM MWH LINE ENERGY COINCIDENT COINCIDENT COINCIDENT LINE COIN. PEAK COINCIDENT...
AI summary The document presents a sales, generation, and demand analysis for June 2026 by Nova Scotia Power Inc., including energy sales, line losses, energy requirements, and demand metrics across different classes and system factors.
INCIDENT LINE COIN. PEAK COINCIDENT SALES LOSSES REQUIREMENT DMD. (KW) FACTOR DMD. (KW) LOSSES DMD. (KW) L/D FACTOR ( 1) DOMESTIC 292,677 7.91% 315,832 593,240 95.7% 567,667 7.38% 609,577 71.96% ( 2) SMALL GENERAL 23,742 7.86% 25,609 51,49...
AI summary The text presents a table with data on electricity sales, losses, and demand factors across various customer categories in Nova Scotia. It includes domestic, industrial, and municipal sectors, as well as specific programs like PHP and ELIADC. The data highlights differences in sales, losses, and demand factors for each category.
751,956 1,378,885 90.4% 1,246,127 5.86% 1,319,151 79.17% (12) SHORE POWER (13) GEN.REPL./LOAD FOLL. (14) ELIADC (15) BUTU (16) REAL TIME PRICING (17) EBS/RTR (17) SUB-TOTAL 16,321 15.9% 16,783 78,397 329.4% 55,267 14.42% 57,035 0.00% (18)...
AI summary The document presents sales, generation, and demand analysis for July 2026, including various categories and percentages. It includes a list of items such as SHORE POWER, GEN.REPL./LOAD FOLL., and ELIADC, along with a subtotal and total for exports and sales. The document is part of a compliance filing for the 2026-2027 GRA.
INCIDENT LINE COIN. PEAK COINCIDENT SALES LOSSES REQUIREMENT DMD. (KW) FACTOR DMD. (KW) LOSSES DMD. (KW) L/D FACTOR ( 1) DOMESTIC 319,746 7.69% 344,330 650,001 90.3% 587,067 8.34% 636,042 72.76% ( 2) SMALL GENERAL 26,458 7.64% 28,480 59,02...
AI summary The document presents a detailed breakdown of electricity demand, sales, losses, and requirement factors across various customer categories, including domestic, industrial, and municipal sectors. It includes data on peak demand, coincident sales, and losses, with a sub-total for all categories. Specific programs and systems, such as Shore Power and ELIADC, are also listed.
819,242 1,501,354 86.5% 1,299,074 6.65% 1,385,492 79.48% (12) SHORE POWER (13) GEN.REPL./LOAD FOLL. (14) ELIADC (15) BUTU (16) REAL TIME PRICING (17) EBS/RTR (17) SUB-TOTAL 18,575 15.5% 19,085 74,444 257.5% 46,181 15.00% 47,859 0.00% (18)...
AI summary The document presents a sales, generation, and demand analysis for August 2026, including various categories such as Shore Power, Generation Replacement/Load Following, and ELIADC. It also includes a subtotal and total export figures, with some data redacted due to confidentiality.
810,241 1,473,261 88.6% 1,304,576 6.93% 1,394,972 78.07% (12) SHORE POWER (13) GEN.REPL./LOAD FOLL. (14) ELIADC (15) BUTU (16) REAL TIME PRICING (17) EBS/RTR (17) SUB-TOTAL 23,705 15.0% 24,317 71,741 343.9% 47,553 15.14% 49,293 0.00% (18)...
AI summary The document contains a table with numerical data related to sales, generation, and demand analysis for September 2026, including percentages and figures. It also includes a list of items such as 'SHORE POWER' and 'ELIADC', followed by a redacted section from a compliance filing related to the 2026-2027 General Rate Adjustment (GRA).
NOVA SCOTIA POWER INC. SALES, GENERATION AND DEMAND ANALYSIS FOR SEPTEMBER 2026 (1) (2) (3) (4) (5) (6) (7) (8) (9) ENERGY CLASS NON- SYSTEM SYSTEM DEMAND SYSTEM SYSTEM MWH LINE ENERGY COINCIDENT COINCIDENT COINCIDENT LINE COIN. PEAK COINC...
AI summary The document presents a sales, generation, and demand analysis for Nova Scotia Power Inc. for September 2026, including metrics such as energy sales, losses, system demand, and load factors across various categories.
OINCIDENT LINE COIN. PEAK COINCIDENT SALES LOSSES REQUIREMENT DMD. (KW) FACTOR DMD. (KW) LOSSES DMD. (KW) L/D FACTOR ( 1) DOMESTIC 276,088 7.82% 297,673 576,378 93.5% 539,018 8.41% 584,352 70.75% ( 2) SMALL GENERAL 23,021 7.77% 24,810 53,4...
AI summary The document presents a detailed breakdown of electricity sales, losses, and demand across various customer categories, including domestic, industrial, and municipal sectors. It includes metrics such as peak demand, load factor, and losses, with specific data for different classes of users and programs like PHP and ELIADC.
OINCIDENT LINE COIN. PEAK COINCIDENT SALES LOSSES REQUIREMENT DMD. (KW) FACTOR DMD. (KW) LOSSES DMD. (KW) L/D FACTOR ( 1) DOMESTIC 327,490 7.98% 353,638 763,048 87.6% 668,458 9.28% 730,459 65.07% ( 2) SMALL GENERAL 24,363 7.94% 26,296 50,4...
AI summary The text provides a detailed breakdown of electricity demand, losses, and requirement factors across various customer categories in Nova Scotia, including domestic, industrial, and municipal sectors, along with a sub-total summary of the data.
816,386 1,576,984 87.4% 1,377,967 7.52% 1,481,593 74.06% (12) SHORE POWER (13) GEN.REPL./LOAD FOLL. (14) ELIADC (15) BUTU (16) REAL TIME PRICING (17) EBS/RTR (17) SUB-TOTAL 14,170 16.0% 14,573 74,351 288.8% 52,063 15.57% 54,019 0.00% (18)...
AI summary The document contains a table with numerical data related to sales, generation, and demand analysis for November 2026. It includes entries such as 'SHORE POWER', 'GEN.REPL./LOAD FOLL.', 'ELIADC', and 'BUTU', which are likely related to energy generation and distribution. The table also includes a sub-total and total before export, with percentages and values provided.
NOVA SCOTIA POWER INC. SALES, GENERATION AND DEMAND ANALYSIS FOR NOVEMBER 2026 (1) (2) (3) (4) (5) (6) (7) (8) (9) ENERGY CLASS NON- SYSTEM SYSTEM DEMAND SYSTEM SYSTEM MWH LINE ENERGY COINCIDENT COINCIDENT COINCIDENT LINE COIN. PEAK COINCI...
AI summary The document presents a sales, generation, and demand analysis for November 2026 by Nova Scotia Power Inc., including metrics such as energy sales, losses, system demand, and load factors.
OINCIDENT LINE COIN. PEAK COINCIDENT SALES LOSSES REQUIREMENT DMD. (KW) FACTOR DMD. (KW) LOSSES DMD. (KW) L/D FACTOR ( 1) DOMESTIC 431,585 8.60% 468,686 1,111,549 82.8% 920,296 11.77% 1,028,601 63.29% ( 2) SMALL GENERAL 28,882 8.54% 31,350...
AI summary The document presents a detailed breakdown of electricity sales, losses, and demand factors across various customer categories in Nova Scotia, including domestic, industrial, and municipal sectors, along with specific programs such as PHP and ELIADC.
OINCIDENT LINE COIN. PEAK COINCIDENT SALES LOSSES REQUIREMENT DMD. (KW) FACTOR DMD. (KW) LOSSES DMD. (KW) L/D FACTOR ( 1) DOMESTIC 602,917 8.30% 652,943 1,344,111 91.7% 1,231,859 14.31% 1,408,115 62.33% ( 2) SMALL GENERAL 34,690 8.25% 37,5...
AI summary The text presents a table with data on sales, losses, and demand factors across various customer categories, including domestic, industrial, and municipal sectors, alongside specific programs like PHP and ELIADC. The data includes figures related to peak demand, losses, and load factors for different segments.
DETAIL OF MONTHLY CLASS SYSTEM COINCIDENT KW PEAK DEMAND FOR THE YEAR ENDING DECEMBER 31, 2026 (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) TOTAL SMALL GENERAL SMALL MEDIUM LARGE SHORE REAL TIME MONTH COMPANY DOME...
AI summary The document presents a detailed breakdown of monthly class system coincident kilowatt peak demand for the year ending December 31, 2026, categorized by month and various demand classes. It includes data on total company demand, domestic, general, and industrial demand across different sizes and sectors.
NOVA SCOTIA POWER INC. SYSTEM ENERGY LINE LOSSES BY RATE CLASS FOR THE YEAR ENDING DECEMBER 31, 2026 (1) (2) (3) (4) (5) (6) (7) (8) (9) TOTAL SMALL GENERAL SMALL MEDIUM LARGE MONTH COMPANY DOMESTIC GENERAL GENERAL LARGE INDUST. INDUST. IN...
AI summary The document presents a table outlining system energy line losses by rate class for Nova Scotia Power Inc. for the year ending December 31, 2026. The table categorizes losses across different customer classes and sizes, providing a breakdown of energy losses by month.
1,825,306.19 1,825,306.19 1,825,306.19 $37,511 (352) (0.000) #REF! #REF! (353) EXPORT SALES - (354) FX Interest (355) (356) FX COST REVENUE OF BTL RATE CLASSES Var (357) SHORE POWER PROD 19.116 19.116 0.000 (358) SHORE POWER TRANS - - 0.00...
AI summary The text presents a financial table with various line items, including shore power, generation replacement, and ELIADC, with associated costs and revenues across different categories such as production, transmission, distribution, and retail. Some entries show variances and include numerical values, while others are marked as zero or not applicable.
0.000 (390) RTR TRANS 3,400.180 3,400.180 0.000 (391) RTR DIST 6,673.861 6,673.861 0.000 (392) RTR RETAIL 737.648 19,835.4 737.648 19,835.4 0.000 (393) Total 24,694.546 (0.000) 24,694.546 24,694.5 0.000 0.0 (394) (395) TOTAL REVENUE OF BTL...
AI summary The text presents a table with various revenue and cost entries, including line items such as 'RTR', 'DIST', 'RETAIL', and 'ELIADC', along with numerical values and some references to programs and systems like 'OATT' and 'EBS'. The data seems to be related to regulatory financial reporting.
2,102 2,102 2,102 (486) AVERAGE CUSTOMERS - MEDIUM INDUST. 175 175 175 (487) AVERAGE CUSTOMERS - INDUSTRIAL LARGE 36 36 36 (488) AVERAGE CUSTOMERS - PHP 1 1 1 (489) AVERAGE CUSTOMERS - MUNICIPAL 5 5 5 (490) AVERAGE CUSTOMERS - UNMETERED 9,...
AI summary The text presents a series of numerical data points and percentages related to average customers across various categories, voltage level demand reduction, and loss factor percentages for different segments of the power system. These metrics are likely used for regulatory analysis and planning.
(1) MWH SALES - DOMESTIC 650,516 609,862 575,444 444,691 361,131 292,677 319,746 321,630 276,088 327,490 431,585 602,917 5,213,777.0 (2) MWH SALES - SMALL GENERAL 39,647 36,873 36,030 27,955 25,685 23,742 26,458 26,087 23,021 24,363 28,882...
AI summary The text presents a table showing the sales of megawatt-hours (MWH) across various categories, including domestic, small general, general, industrial, and municipal sectors, over a multi-year period. The data spans multiple years and reflects the consumption trends in different customer segments.
5) SYSTEM COINCIDENT DMD. - UNMETERED 10,903 4,016 1,573 1,956 2,351 2,163 2,349 1,958 2,033 1,487 17,133 12,711 10,902.9 (66) SYSTEM COINCIDENT DMD. - SHORE POWER (67) SYSTEM COINCIDENT DMD. - GEN. REPL. (68) SYSTEM COINCIDENT DMD. - ELIA...
AI summary The text presents a series of tables and data points related to system coincident demand, including unmetered demand, shore power, generator replacement, and other demand-related metrics across various categories and periods.
3,296 2,946 4,397 4,123 41,323.9 (92) DEMAND LINE LOSS ADJUSTMENT - ELI 2P-RTP 2,790 2,612 4,489 3,942 3,566 3,028 3,421 3,512 3,449 3,804 4,826 2,825 42,264.0 (93) DEMAND LINE LOSS ADJUSTMENT - MUNICIPAL 1,311 1,278 983 621 402 349 405 38...
AI summary The text presents numerical data related to demand line loss adjustments across various categories, including ELI 2P-RTP, municipal, unmetered, and others, with totals for demand losses and requirements for domestic use.
0 0 0 0 0 0 0 0 0 - (123) INTERRUPTIBLE COINCIDENT DEMAND AT GENERATOR 69,594 74,893 65,317 70,701 81,370 80,172 81,451 76,365 91,314 71,109 87,292 62,520 207,006.8 (124) MWH Sales (125) EHV - LIR 217,317.5 (126) HV - LIR 149,380.9 (127) H...
AI summary The document contains a table with data on interruptible coincident demand at Generator 69,594 and various categories of MWH sales and energy line losses. Much of the content is redacted, indicating that it pertains to confidential information related to a 2026-2027 GRA Compliance Filing.
0 0 -5,579 0 0 DIRECT (31) ALLOC. OF ELI 2P-RTP DMD. ADJ. 5,579 3,592 190 987 113 103 119 203 168 77 27 D-4 (32) ELI 2P-RTP PRIORITY DMD ADJ. -558 0 0 0 0 0 0 0 -558 0 0 DIRECT (33) ALLOC. OF ELI 2P-RTP PRI. DMD. ADJ. 558 359 19 99 11 10 1...
AI summary The text presents a table with various line items and allocations related to demand adjustments and generation, including figures for different categories such as transmission, operating and maintenance expenses, and regulatory affairs. It includes references to specific line items and allocations, such as 'ALLOC. OF ELI 2P-RTP DMD. ADJ.' and 'TOTAL GENERATION'.
ENERGY CLASSIFICATION GENERATION (1) FUEL $310,870 167,599.7 11,289.5 67,339.0 10,499.8 7,795.7 12,371.0 19,975.9 7,737.4 3,938.2 2,323.7 See BCF (2) PURCHASES - OTHER THAN BIOMASS AND WIND $14,324 7,248.9 516.4 3,194.6 535.1 383.2 629.1 1...
AI summary The text presents a detailed breakdown of energy generation and purchases, including fuel, biomass, wind, and imports, with monetary figures and references to the Board of Commissioners of Fisheries (BCF). The data spans multiple categories and includes costs associated with different energy sources.
RATE CLASS DISAGGREGATION ANALYSIS FOR THE YEAR ENDING DECEMBER 31, 2027 CLASS : GENERAL RATE BASE COSTS (Source Exh 6) (Source Exh. 3) Variable Fixed Unit Cost Fuel Operating Capital Return Total Total Cost Units Sold Demand Energy Custom...
AI summary This document presents a rate class disaggregation analysis for the year ending December 31, 2027, focusing on the General rate class. It details various costs, including fuel, operating, capital, return, and total costs, along with units sold, demand, and energy metrics for generation, reliability, and total generation.
RATE CLASS DISAGGREGATION ANALYSIS FOR THE YEAR ENDING DECEMBER 31, 2027 CLASS : MEDIUM INDUSTRIAL RATE BASE COSTS (Source Exh 6) (Source Exh. 3) Variable Fixed Unit Cost Fuel Operating Capital Return Total Total Cost Units Sold Demand Ene...
AI summary This document provides a rate class disaggregation analysis for the Medium Industrial class as of December 31, 2027, detailing rate base, costs, and unit costs associated with generation, including energy and reliability components.
1,171,107 2,708,026 77.0% 2,086,010 12.56% 2,347,983 67.04% (12) SHORE POWER (13) GEN.REPL./LOAD FOLL. (14) PHP (15) BUTU (16) REAL TIME PRICING (17) EBS/RTR (17) SUB-TOTAL 62,976 19.5% 64,657 111,341 183.1% 72,723 18.59% 76,246 0.00% (18)...
AI summary The text presents numerical data related to sales, generation, and demand analysis for February 2027, including percentages and values for various categories. It also references a redacted exhibit titled '2026-2027 GRA Compliance Filing - SR-01 Attachment 3' and includes a section labeled 'EXHIBIT 9A' from Nova Scotia Power Inc.
1,081,931 2,472,287 82.5% 2,039,625 11.70% 2,278,362 70.67% (12) SHORE POWER (13) GEN.REPL./LOAD FOLL. (14) PHP (15) BUTU (16) REAL TIME PRICING (17) EBS/RTR (17) SUB-TOTAL 59,800 19.4% 61,389 116,914 175.4% 82,642 18.04% 86,384 0.00% (18)...
AI summary The document contains a table with figures related to sales, generation, and demand analysis for March 2027, and references an exhibit titled 'REDACTED 2026-2027 GRA Compliance Filing - SR-01 Attachment 3 Page 70 of 102'.
1,080,904 2,194,475 83.4% 1,829,155 9.33% 1,999,799 72.65% (12) SHORE POWER (13) GEN.REPL./LOAD FOLL. (14) PHP (15) BUTU (16) REAL TIME PRICING (17) EBS/RTR (17) SUB-TOTAL 57,584 19.6% 59,124 111,807 178.9% 81,584 16.62% 84,753 0.00% (18)...
AI summary The document contains a table with sales, generation, and demand analysis for April 2027, including figures related to shore power, generation replacement, and real-time pricing. A subtotal and total before export are listed, along with export sales. The document is part of a 2026-2027 GRA Compliance Filing and is marked as redacted.
763,139 1,611,562 85.0% 1,369,013 7.55% 1,472,439 69.66% (12) SHORE POWER (13) GEN.REPL./LOAD FOLL. (14) PHP (15) BUTU (16) REAL TIME PRICING (17) EBS/RTR (17) SUB-TOTAL 59,463 18.3% 60,944 91,556 289.1% 68,851 15.63% 71,289 0.00% (18) TOT...
AI summary The document presents sales, generation, and demand analysis data for Nova Scotia Power Inc. for November 2027, including various subtotals and percentages related to different energy-related categories and operations.
1,077,883 2,286,479 82.6% 1,889,630 12.83% 2,132,019 67.95% (12) SHORE POWER (13) GEN.REPL./LOAD FOLL. (14) PHP (15) BUTU (16) REAL TIME PRICING (17) EBS/RTR (17) SUB-TOTAL 65,553 18.8% 67,226 102,902 271.6% 74,394 18.73% 78,035 0.00% (18)...
AI summary The document contains numerical data and a table of items related to energy management, including categories such as Shore Power, Generation Replacement, Load Follow, and Real Time Pricing. It also includes a sub-total and total figures for export sales and other energy-related metrics. The document is part of a 2026-2027 GRA Compliance Filing and includes an exhibit related to demand determination by voltage level.
7 Oct, Nov 1.35 1.64 1.35 1.20 0.99 1.15 0.96 0.91 0.00 1.33 INSERT TABLE FOR STANDBY SERVICE TARIFF Classes Jan, Feb, Dec Mar, Apr May, June Jul, Aug, Sep Oct, Nov Domestic 1.00 1.34 2.15 2.29 1.64 Small General 1.00 1.23 1.63 1.59 1.35 G...
AI summary The document includes a table with standby service tariff rates for different customer classes across various months, followed by a redacted section related to a 2026-2027 GRA Compliance Filing and an exhibit summarizing system energy line losses for Nova Scotia Power Inc. for the year ending December 31, 2027.
NOVA SCOTIA POWER INC. SYSTEM ENERGY LINE LOSSES BY RATE CLASS FOR THE YEAR ENDING DECEMBER 31, 2027 (1) (2) (3) (4) (5) (6) (7) (8) (9) TOTAL SMALL GENERAL SMALL MEDIUM LARGE MONTH COMPANY DOMESTIC GENERAL GENERAL LARGE INDUST. INDUST. IN...
AI summary The document presents a table titled 'System Energy Line Losses by Rate Class for the Year Ending December 31, 2027,' which categorizes energy losses by different rate classes and customer types. It includes columns for total, small domestic, general small, medium, and large industrial customers, as well as unmetered accounts.
12.11% REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2026-2027 GRA Compliance Filing - SR-01 Attachment 3 Page 86 of 102 EXHIBIT 9D PAGE 3 OF 4 NOVA SCOTIA POWER INC. SUMMARY OF DISTRIBUTION SYSTEM ENERGY LINE LOSSES FOR THE YEAR EN...
AI summary The document presents a summary of distribution system energy line losses for Nova Scotia Power Inc. for the year ending December 31, 2027, with monthly breakdowns of losses categorized by customer type and size.
Y 4.23% 5.27% 5.22% 4.94% 2.33% 4.77% 3.89% 0.91% 5.26% ( 8) AUGUST 3.89% 4.87% 4.83% 4.56% 2.08% 4.40% 3.56% 0.73% 4.86% ( 9) SEPTEMBER 4.27% 5.39% 5.34% 5.06% 2.40% 4.89% 3.98% 0.96% 5.38% (10) OCTOBER 4.50% 5.55% 5.50% 5.21% 2.50% 5.04%...
AI summary The document presents summary data on distribution system demand line losses for Nova Scotia Power Inc. for the year ending December 31, 2027, with specific figures indicating losses at 2.43% and 4.22% during system peak periods.
SYSTEM COINCIDENT DMD. - GEN. REPL. (67) SYSTEM COINCIDENT DMD. - PHP (68) SYSTEM COINCIDENT DMD. - BUTU (69) SYSTEM COINCIDENT DMD. - RTP SYSTEM COINCIDENT DMD. - EBS/RTR (70) SYSTEM COINCIDENT DMD. - EXPORT SALES 0 0 0 0 0 0 0 0 0 0 0 0...
AI summary The text provides a detailed breakdown of system coincident demand across various categories, including generation replacement, PHP, BUTU, RTP, EBS/RTR, and export sales. It includes data on interruptible demand and total coincident demand at customer meters and generators from 2020 to 2027. Some data is redacted due to confidentiality.
Wind ERIS $1,428,737.80 $1,783,942.56 $1,985,760.83 $1,380,426.49 $1,560,587.52 $1,387,359.23 $1,200,053.03 $1,049,025.08 $1,232,278.83 $1,181,425.01 $2,032,201.40 $2,073,920.51 $18,295,718 Energy Domestic $828,230 $975,319 $1,028,192 $649...
AI summary The text presents financial data for various energy categories and sectors in Nova Scotia, including Wind ERIS, Domestic, Small General, General, Large General, Small Industrial, Medium Industrial, Large Industrial, and PHP, with figures spanning multiple years.
Peak of ATL 2,356,954 Annual Energy Requirement of ATL 11,303,785,142 System Coincident Load Factor 54.748044%
AI summary The document provides data on the peak load and annual energy requirement of the Atlantic Transmission Line (ATL), along with the system coincident load factor, which is a key metric for assessing grid efficiency and demand patterns.