N-1Evaluation Report
17 passages
2.4 CPP Reference Days The CPP reference days were selected for Phase 4 are summarized in Table 8.
AI summary The document discusses the selection of CPP reference days for Phase 4, which are summarized in Table 8. This section provides an overview of the critical peak pricing reference days used in the regulatory proceeding.
6.2 Economic Impacts This section presents and discusses the impact of commercial CPP tariffs on the electricity bill as well as price elasticity.
AI summary This section discusses the economic impacts of commercial Critical Peak Pricing (CPP) tariffs on electricity bills and examines price elasticity related to these tariffs.
Satisfaction
AI summary The document contains images from a regulatory proceeding related to satisfaction, potentially involving Nova Scotia Power and energy pricing strategies such as Time-Varying Pricing, Time-of-Use, and Critical Peak Pricing. Specific details are not provided in the text, as the content is limited to images.
"I use electricity in the summer due to electric air conditioners, so I am trying to reduce the cost of my electricity in the summer months primarily." – ToU Year 4 Participant Time- of-Use Critica l Peak 2022 (n=428) 2023 (n=137) 2024 (n=...
AI summary A participant in the Time-of-Use (TOU) Year 4 program states that they use electricity primarily in the summer due to electric air conditioners and aim to reduce summer electricity costs. The table shows participation motivations across different years for Time-of-Use and Critical Peak Pricing programs, with 'Save money' being the most common reason.
Previous Joiners Main Reason For Continued Pilot Participation The primary reason for remaining on TVP pilots is also to save money, although fewer indicate this as a motivating factor than those in their first year of the pilot. Year 1, 2...
AI summary Participants in TVP pilots continue to participate mainly to save money, though fewer cite this as a motivation compared to their first year. Over time, participants find it harder to plan around peak periods. Quotes from participants highlight savings and flexibility in energy use as key benefits.
CPP Bill Impacts Parameters Winter Non holiday Weekday Winter Weekends and Holidays Winter Overall Summer Annual Average Average Bill Savings per Day ($/day) 0.348 ± 0.179 1.300 ± 0.306 0.661 ± 0.157 1.030 ± 0.165 0.876 ± 0.116 Average Bil...
AI summary The document presents the impacts of the Capacity-Based Pricing (CPP) program, showing average bill savings for participants across different scenarios, including winter and summer savings, and comparisons between steady electric, electrified, and de-electrified participants. Annual savings for CPP participants are estimated at $320.
Structural bill change = -2.1 note that technical sessions filed in 2024/2025 application reported a structural bill change of -1.9%¹
AI summary The structural bill change is reported as -2.1, with technical sessions in the 2024/2025 application indicating a -1.9% change. This highlights a slight decrease in structural bill adjustments.
General, CPP (15 events) - CPP volumetric rates effective November 1, 2024 - Includes 2025 riders - AMI data domain: January 1 December 31, 2024 inclusive
AI summary The document outlines the CPP volumetric rates effective from November 1, 2024, which include 2025 riders. It also specifies the AMI data domain covering the period from January 1 to December 31, 2024.
Demand Charge Review - How Demand is measured for the General rate class: - Demand is measured in 15-minute blocks every 5 minutes. - Maximum demand recorded in a billing period is used and reset for each billing period (no ratchet). - How...
AI summary The document outlines how demand is measured and charged for the General rate class. Demand is measured in 15-minute blocks and reset each billing period. Customers are charged directly based on their maximum demand and indirectly through the sizing of the first energy block, which scales with the measured demand.
ENERGY CHARGE For the first 200 kilowatt-hours per month per kilowatt of maximum demand For all additional kilowatt- hours Cents per kilowat t-hour Effective February 2, 2023 13.248 9.952 Effective January 1, 2024 14.287 10.990
AI summary The document outlines the energy charge rates for electricity consumption in Nova Scotia, effective from February 2, 2023, and January 1, 2024, specifying different rates for the first 200 kilowatt-hours per month per kilowatt of maximum demand and additional kilowatt-hours.
TVP Year Four Report Appendix E Attachment 4 Page 17 of 47 Item Objective 0 - Does Not Meet Objectives 1 - Meets Some Objectives 2 - Meets Most Objectives 3 - Meets All Objectives Revenue Neutrality The Tariff should be revenue neutral wit...
AI summary The table evaluates the objective of revenue neutrality in the Tariff, considering the impact of load shifting on average bill changes across different rate classes. It outlines thresholds for when the Tariff meets or fails to meet the objective based on the magnitude of average bill changes.
Commercial Rates Educational institutions, businesses, retail stores, office buildings Rate 10/72/82 – small commercial - Annual consumption is less than 32,000 kWh (or, at customer option, less than 45,000 kWh per year) - Small retail, co...
AI summary The document outlines different commercial rate structures in Nova Scotia, including Rate 10/72/82 for small commercial users, Rate 11/73/83 for standard commercial users, and Rate 12 for large commercial users, each with specific criteria based on consumption and demand.
Annual Billed Metrics peaks, and revenue, which are essential Data source: CIS+ AMI+ Feature Engineering Data source: CIS+ AMI Data source: CIS+ AMI Data source: CIS+ AMI+Feature Engineering
AI summary The document discusses annual billed metrics, including peaks and revenue, which are essential for analysis. The data sources include CIS+ AMI and CIS+ AMI+Feature Engineering.
Small General, CPP (15 events, +3 hypothetical) - CPP volumetric rates effective November 1, 2024 - Includes 2025 riders - AMI data domain: January 1 December 31, 2024 inclusive - Structural bill change = -0.7 % Note that a structural bill...
AI summary The document outlines the CPP volumetric rates effective November 1, 2024, including 2025 riders, and references a structural bill change of -0.7%. It mentions a previously modeled -2.0% structural bill change with 15 events presented in technical session 1 on March 3, 2025.
General, CPP (15 events, +3 hypothetical) - CPP volumetric rates effective November 1, 2024 - Includes 2025 riders - AMI data domain: January 1 December 31, 2024 inclusive - Structural bill change = -3.2 % Note that a structural bill chang...
AI summary The document outlines CPP volumetric rates effective November 1, 2024, including 2025 riders, and references a structural bill change of -3.2%. It also mentions a previously modeled -4.7% structural bill change presented in a technical session on March 3, 2025, along with comments received on March 14, 2025.
asuring the response of classes rates to TVP in general there may be situations in the future where MURBs may be grouped within the General rate class, as MURBs are a subgroup of the General class. 4. The marketing metrics list the key dat...
AI summary The text discusses the measurement of response rates to Time-Varying Pricing (TVP) in the context of rate classes and marketing metrics. It highlights the use of email opens, clicks, and click-through rates as key performance indicators for communication effectiveness and campaign performance.
Stakeholder Comment NS Power Response Board Counsel Consultant, Synapse Energy Economics (Synapse, BCC) 2. Review of Current Tariffs Revenue Neutra
AI summary The document includes a table with stakeholder comments and responses related to the review of current tariffs and revenue neutrality. It involves Board Counsel, Synapse Energy Economics, and NS Power.
N-1-(i)TVP Year 4 Report Appendix A (Redline) - Refiled
5 passages
4.2 Economic Impacts This section presents and discusses the impact of residential CPP tariffs on the electricity bill as well as price elasticity.
AI summary This section discusses the impact of residential Conservation Program Participants (CPP) tariffs on electricity bills and price elasticity, examining how these tariffs influence consumer behavior and economic outcomes.
4.2.1 Change in Electricity Bills [Table 30](#page-62-3) summarizes the applicable tariffs used for residential CPP impact on billing. Tariff details can be found in [Attachment I: Riders and Tariff Structure.](#page-100-0)
AI summary This section discusses the impact of residential Conservation Program Participants (CPP) on electricity bills, referencing Table 30 and Attachment I for tariff details.
Table 48: Tariffs Used for Analyzing Commercial CPP Impact on Electricity Bill Customer Type Period Applicable Tariff Treatment – General Pre-Pilot General Tariff – Rate Code 11 Treatment – General Pilot General CPP Tariff – Rate Code 73 T...
AI summary Table 48 outlines the tariffs applied to commercial Conservation Program Participants (CPP) before and during the pilot phase, with different rate codes for general and small general customers. Table 49 indicates that commercial CPP participants experienced an average daily bill saving increase of $1211, but this saving increase of 5.84.7% is not statistically significant.
Table 59: Tariff Summary (January 2025) Domestic SOR Customer Charge $19.17 per month Energy Charge $0.16931 per kWh Domestic TOU Customer Charge $19.17 per month Energy Charge (Winter on-peak) $0.33862 per kWh Energy Charge (Winter off-pe...
AI summary The document provides a detailed summary of various tariff structures effective January 2025, including Domestic SOR, Domestic TOU, Domestic CPP, Small General SOR, Small General TOU, General SOR, General TOU, General CPP, and MURB TOU. Each tariff includes customer charges, energy charges for different periods, and demand charges where applicable.
Robust Margin of Error When TVP load impact was estimated using the DiD analysis, the residual errors can be autocorrelated. If residual autocorrelation is not adjusted for, the standard error will be underestimated. As such, it is necessa...
AI summary The text discusses the adjustment of the margin of error (MoE) in estimating TVP load impact using a DiD analysis. It explains the need to account for residual autocorrelation and heteroskedasticity by adjusting the standard error and using robust standard errors to calculate a more accurate MoE.
N-2TVP Year 4 Report Appendix A (Clean) - Refiled
6 passages
6.2.1 Change in Electricity Bills The bill impact analysis for the commercial CPP uses the same method that was used for estimating the commercial CPP load impact analysis. In the bill impact analysis, applicable tariffs were applied in ac...
AI summary The bill impact analysis for the commercial Controlled Load Program (CPP) shows an average daily bill increase of $11, or 4.7%, for participants during the Winter season in Phase 4, though this increase is not statistically significant. The analysis used specific tariffs for different customer types and periods.
Attachment I: Riders and Tariff Structure A summary of the TVP rate designs is included. For additional details, review the publicly available Tariff book.[13](#page-100-5) The volumetric rates used within the billing models are summarized...
AI summary Attachment I provides a summary of TVP rate designs and includes volumetric rates used in billing models, along with visual aids to explain each TVP Tariff structure. Additional details can be found in the publicly available Tariff book.
Table 59: Tariff Summary (January 2025) Domestic SOR Customer Charge $19.17 per month Energy Charge $0.16931 per kWh Domestic TOU Customer Charge $19.17 per month Energy Charge (Winter on-peak) $0.33862 per kWh Energy Charge (Winter off-pe...
AI summary Table 59 outlines various tariff structures for different customer categories in January 2025, including Domestic SOR, Domestic TOU, Domestic CPP, Small General SOR, Small General TOU, Small General CPP, General SOR, and General TOU. It details customer charges, energy charges for different periods (winter on-peak, winter off-peak, non-winter), and demand charges where applicable.
III.3.2.2 Economic Impact Regression Model $$\begin{aligned} \textit{DailyBill}_{it} &= (\beta_0 + u_i) + \beta_1. \textit{Treatment}_i + \beta_2. \textit{PilotPeriod}_t \\ &+ \beta_3. (\textit{Pilot} \times \textit{Treatment})_{it} + \bet...
AI summary The document presents three regression models used to analyze the economic impact of time-varying pricing (TVP) programs, specifically focusing on daily billing, average energy usage, and peak-to-off-peak load ratios. The models incorporate variables such as treatment, pilot period, heating degree days, and energy prices. The 'Treatment' variable is excluded for commercial TVP due to the lack of control groups but is included in the MURB TOU regression.
III.3.3.2 Economic Impact Regression Model The same regression as equations (15), (16) and (17) was used for bill saving and price elasticity analysis for MURB TOU.
AI summary The Economic Impact Regression Model, using equations (15), (16), and (17), was applied for bill saving and price elasticity analysis in the MURB TOU context.
Review of Marketing and Communication Efforts In its Decision and Order on the Year Three Report (M11823), the Board provided: Narrative Research conducted a customer survey, which highlighted residential customers' dissatisfaction regardi...
AI summary The Board's Decision and Order on the Year Three Report (M11823) highlights the need for NS Power to improve communication with customers regarding bill savings and TVP. NS Power has implemented tools to help customers understand TVP impacts and engaged stakeholders in marketing efforts. The Year 4 Report will include updates on these initiatives.