Topic:"Residential Programs" in M11108

..................................................... 14 6 4.0 Discussion of Major Inputs ................................................................................................ 16 7 4.1 Historical Class Sales and Energy Data .......

AI summary The document outlines sections discussing historical energy data, weather impacts, economic factors, end-use trends, price data, demand-side management, and sector-specific analyses for residential and commercial sectors in a regulatory proceeding.

1 Solar Generation (PV) 2 3 Solar generation consists of two main types – distributed small-scale solar (mainly rooftop) 4 that falls under NS Power’s net metering program, and small- to large-scale generation that 5 is fed directly onto t...

AI summary The document discusses the growth of solar generation in Nova Scotia, including distributed and large-scale installations, their impact on load forecasts, and the influence of rebate programs and legislation. It estimates future solar capacity and notes that solar generation does not reduce peak demand due to timing differences.

Page 56 of 98 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report REDACTED 1 5.0 RESIDENTIAL SECTOR 2 3 The Residential sales forecast is generated as the product of a residential average use 4 forecast and a customer cou...

AI summary The residential sales forecast is based on average use and customer count projections. Growth in residential sales between 2021 and 2022 was driven by factors such as continued COVID-19 restrictions, an increase in new customers, and the adoption of heat pumps. Figure 39 provides a comparison of forecast and actual sales data.

Page 57 of 98 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report REDACTED 1 Apart from the shift related to increased work from home, the long-term trend is higher 2 than the previous forecast, with higher EV penetration...

AI summary The 2023 Load Forecast Report indicates an upward trend in residential electricity demand, driven by increased work from home, higher EV penetration, and new customer growth. Efficiency improvements and solar generation will reduce sales, but overall residential sector loads are expected to increase by 1.1% annually from 2023 to 2033. Population growth and new housing construction are also key factors in the forecast.

energy exports are not included. Figure 53 provides a breakdown of the significant 7 variances between forecast and actuals for 2022. 8 9 Figure 53: 2022 Variance to Actual 10 Res Comm Ind Other Losses NSR 2022 Forecast 4,715 3,091 2,542 7...

AI summary The text discusses energy usage variances in 2022, highlighting the impact of weather, unexplained residential load increases, and factors like continued pandemic restrictions and higher-than-expected heat pump installations. It also forecasts an annual increase in NSR from 2023 to 2033, driven by new customers, space heating, and EV adoption, with some offset from solar, DSM, and RTR.

(698) (402) Change 4.7% 7.8% 13.6% -9.2% -0.3% -5.6% 11.0% to load Res Sales = Existing Customer Load + New Customer Load + EV Load + Solar Load + RTR + DSM Existing customer load is calculated as Res Average Use (9,845 kWh/customer in 202...

AI summary The document discusses residential load forecasting, including factors like existing customer load, new customer load, EV load, solar load, and DSM. It provides data on residential average use, including calculations for 2023 and 2033, and highlights changes in load factors such as heating, cooling, and other variables.

2023 Load Forecast Report (NSUARB M11108) NSPI Responses to Consumer Advocate Information Requests NON-CONFIDENTIAL 1 Request IR-8: 2 3 Reference: Exhibit N-1, Figure 42; Exhibit N-1, M10569, Figure 40. 4 5 Relative to the 2022 Load Foreca...

AI summary NSPI explains increases in 2023 residential sales forecasts due to higher housing completions, solar growth from rebates and program changes, and a shift in DSM attribution explained by regression model coefficients. The response cites prior filings and references methodological adjustments in load forecasting.

2023 Load Forecast Report Synapse IR-6 Attachment 1 Page 7 of 44 Residential Sector Nova Scotia1 Table 4: Space Cooling Secondary Energy Use and GHG Emissions by Cooling System Type 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 20...

AI summary The table presents data on residential space cooling energy use and GHG emissions in Nova Scotia from 2000 to 2019, showing trends in energy use by cooling system type (room and central) and the share of cooled floor space over time.

2023 Load Forecast Report Synapse IR-6 Attachment 1 Page 16 of 44 Residential Sector Nova Scotia1 Table 13: Appliance Secondary Energy Use and GHG Emissions by Appliance Type 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012...

AI summary The document presents a table showing appliance secondary energy use and GHG emissions by appliance type in Nova Scotia from 2000 to 2019, as part of the 2023 Load Forecast Report.

2023 Load Forecast Report Synapse IR-6 Attachment 1 Page 18 of 44 Residential Sector Nova Scotia Table 15: Housing Stock by Building Type and Vintage 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017...

AI summary The document presents a table showing the total housing stock in Nova Scotia from 2000 to 2019, categorized by building type including single detached, single attached, apartments, and mobile homes. The data reflects the growth and distribution of housing stock over time.

2011–2015 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.7 3.4 5.2 6.7 8.1 8.0 7.9 7.8 7.8 2016–2019 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.5 3.7 5.3 6.9 Office of Energy Efficiency, Demand Policy and Analysis Div...

AI summary The document contains a table showing the housing stock by vintage for single detached and single attached housing in Nova Scotia from 2000 to 2019. The data is part of a load forecast report and includes a redacted section due to confidentiality.

12.5 12.3 12.0 11.9 11.7 11.5 11.2 11.0 10.9 2011–2015 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2.7 5.6 8.0 10.0 11.8 11.7 11.3 11.1 11.0 2016–2019 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2.0 5.0 7.2 9.4 Office o...

AI summary The document contains a table showing the housing stock of apartments and mobile homes in Nova Scotia from 2000 to 2019. The data appears to be part of a load forecast report and is related to energy efficiency and demand analysis.

0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.5 2.9 4.4 5.6 6.8 6.7 6.7 6.7 6.6 2016–2019 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.2 2.7 4.1 5.3 Office of Energy Efficiency, Demand Policy and Analysis Division, Mar...

AI summary The text provides a table showing floor space by building type and vintage in Nova Scotia from 2000 to 2019. It is part of the 2023 Load Forecast Report by Synapse, and the document is redacted due to confidentiality.

0.0 0.0 0.0 0.0 0.0 2.0 4.0 6.0 7.6 9.1 9.1 8.9 8.8 8.7 2016–2019 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.7 4.3 6.2 8.1 Office of Energy Efficiency, Demand Policy and Analysis Division, Market Analysis Group. REDA...

AI summary The document presents data on residential floor space in Nova Scotia by building vintage, with figures spanning from 2000 to 2019. It appears to be part of a load forecast report, focusing on the residential sector and including a table with detailed statistical information.

0.0 0.0 0.0 0.0 3.3 6.8 9.7 12.0 14.1 13.8 13.4 13.1 12.8 2016–2019 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2.5 6.3 9.1 11.7 Office of Energy Efficiency, Demand Policy and Analysis Division, Market Analysis Group. R...

AI summary The document presents data on residential sector floor space for apartments and mobile homes in Nova Scotia from 2000 to 2019, including a table with annual figures. This data is part of a load forecast report and is associated with the Office of Energy Efficiency, Demand Policy and Analysis Division, Market Analysis Group.

.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.7 3.3 4.8 6.1 7.4 7.4 7.3 7.2 7.2 2016–2019 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.4 3.2 4.7 6.2 Office of Energy Efficiency, Demand Policy and Analysis Division, Mark...

AI summary The text includes a table showing the stock of heating systems in Nova Scotia by building type and heating system type, with data spanning from 2000 to 2019. The table appears in the context of a 2023 Load Forecast Report by Synapse, and the document is marked as redacted due to confidential information.

0.3 0.3 0.3 0.3 0.3 0.3 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4 1) “Other” includes coal and propane. Office of Energy Efficiency, Demand Policy and Analysis Division, Market Analysis Group. REDACTED (CONFIDENTIAL INFORMATION R...

AI summary The text provides a table showing the stock of single detached heating systems in Nova Scotia from 2000 to 2019. It includes data on different heating system types, indicating changes in residential heating system distribution over time.

0.4 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.6 0.6 0.6 0.6 0.6 1) “Other” includes coal and propane. Office of Energy Efficiency, Demand Policy and Analysis Division, Market Analysis Group. REDACTED (CONFIDENTIAL INFORMATION R...

AI summary The document contains a table showing the stock of single attached heating systems in Nova Scotia from 2000 to 2019, as part of the 2023 Load Forecast Report. The data is presented by heating system type and includes a note that 'Other' includes coal and propane.

2.0 2.0 2.0 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 Wood 10.3 9.9 9.9 10.0 10.0 10.1 10.1 10.1 10.1 10.0 9.9 9.9 9.5 9.5 9.4 9.4 9.2 9.2 9.2 9.1 Dual Systems Wood/Electric 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.5...

AI summary The text presents data on heating system stock in the residential sector of Nova Scotia, specifically focusing on apartments. It includes various heating system types such as wood, dual systems, and others, along with associated numerical data. The data appears to be part of a load forecast report.

2023 Load Forecast Report Synapse IR-6 Attachment 1 Page 27 of 44 Residential Sector Nova Scotia Table 24: Apartments Heating System Stock by Heating System Type 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 20...

AI summary The document presents a table showing the stock of heating systems in apartments in Nova Scotia from 2000 to 2019. It provides data on the distribution of different heating system types over time.

Total Apartments Heating System Stock (thousands) 82.0 83.1 84.1 85.2 86.6 87.4 88.6 89.8 91.1 92.1 93.0 94.0 95.2 97.3 98.6 99.8 101.3 104.5 106.2 108.1 (thousands) Heating Oil – Normal Efficiency 25.2 23.4 21.6 20.1 18.8 17.2 15.5 13.9 1...

AI summary The text presents data on the total number of apartments and their heating system stock over time, including heating oil (normal, medium, high efficiency), natural gas (normal, medium, high efficiency), electric, and heat pump systems. The data shows trends and changes in the distribution of heating systems in apartments from 2000 to 2020.

Other1 2.0 2.0 2.0 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 Wood 12.3 11.9 11.9 11.9 11.9 12.1 12.0 12.0 12.0 11.9 11.8 11.7 11.3 11.3 11.3 11.3 11.3 11.3 11.3 11.3 Dual Systems Wood/Electric 0.5 0.5 0.5 0.5 0.5...

AI summary The document presents a table detailing the distribution of heating systems in the residential sector of Nova Scotia, including data on wood, dual systems, and other heating types. The table includes load forecast data from the 2023 Load Forecast Report, specifically from Synapse IR-6 Attachment 1, Page 28 of 44.

2.0 2.0 2.0 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 Wood 8.8 8.4 8.4 8.4 8.4 8.5 8.4 8.4 8.4 8.3 8.1 8.0 7.6 7.5 7.5 7.5 7.4 7.4 7.4 7.3 Dual Systems Wood/Electric 1.8 1.8 1.8 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9...

AI summary The document presents data on heating system stock efficiencies in the residential sector of Nova Scotia, including various fuel types such as wood, electric, heating oil, and natural gas. The data spans multiple years and provides efficiency metrics for different heating systems.

2023 Load Forecast Report Synapse IR-6 Attachment 1 Page 29 of 44 Residential Sector Nova Scotia Table 26: Heating System Stock Efficiencies 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019

AI summary The document presents a table titled 'Heating System Stock Efficiencies' for the residential sector in Nova Scotia, providing data on efficiency levels from the years 2000 to 2019.

as 79 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 Dual Heating Systems Electric/Heating Oil Electricity 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 Heating Oil 78 78 78 78 78 78 78 78 78 78...

AI summary The text presents data on dual heating systems and cooling system stock in Nova Scotia, including electricity and heating oil usage across various years. It also references a 2023 Load Forecast Report and mentions the Office of Energy Efficiency, Demand Policy and Analysis Division, Market Analysis Group.

3.3 3.1 2.9 2.8 2.9 2.8 2.8 2.8 2.7 2.7 2.7 2.6 2.5 2.5 2.5 2.4 2.4 2.4 2.4 1) “Other” includes coal and propane. Office of Energy Efficiency, Demand Policy and Analysis Division, Market Analysis Group. REDACTED (CONFIDENTIAL INFORMATION R...

AI summary The document presents data on water heater stock in the residential sector of Nova Scotia by energy source over the years 2000 to 2019, highlighting the distribution of single detached and single attached units.

3.3 3.1 2.9 2.8 2.9 2.8 2.8 2.8 2.7 2.7 2.7 2.6 2.5 2.5 2.5 2.4 2.4 2.4 2.4 1) “Other” includes coal and propane. Office of Energy Efficiency, Demand Policy and Analysis Division, Market Analysis Group. REDACTED (CONFIDENTIAL INFORMATION R...

AI summary The document provides a historical overview of water heater stock in apartments and mobile homes in Nova Scotia by energy source, spanning from 2000 to 2019, with data presented in a tabular format.

0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4 2016–2019 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4 0.4 0.4 0.4 Office of Energy Efficiency, Demand Policy and Analysis Division, Market...

AI summary The text presents a table showing secondary energy use and GHG emissions by energy source in the residential sector of Nova Scotia from 2000 to 2019. It includes data for various years, with some values redacted and marked as confidential.

0.3 0.2 0.2 0.2 0.2 0.2 0.2 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.4 0.3 0.3 0.3 0.3 Shares (%) Electricity 29.3 29.8 29.9 31.4 33.8 35.5 33.7 30.3 30.4 29.9 29.3 28.0 31.2 33.8 35.8 34.9 39.0 39.7 38.6 38.8 Natural Gas 0.0 0.0 0.0 0.0 0.0 0.0...

AI summary The text provides statistical data on energy consumption shares and activity metrics such as total floor space and total households over time. The data includes percentages for electricity, natural gas, heating oil, and other energy sources, along with corresponding figures for total floor space and household numbers in thousands.

2023 Load Forecast Report (NSUARB M11108) NSPI Responses to Synapse Energy Economics Information Requests NON-CONFIDENTIAL 1 Request IR-7: 2 3 Residential and Commercial Heating and Heat Pumps (Section 4.4, pp 33-37) 4 5 (a) Please provide...

AI summary The document outlines a series of information requests related to the 2023 Load Forecast Report, focusing on residential and commercial heating technologies, heat pump usage, customer saturation, data sources, peak load impacts, energy consumption estimates, and modeling documentation. These requests aim to gather detailed insights into heating trends and forecast accuracy.

1 2 (b) Water heaters must meet the following standard as of 2008: CAN/CSA-C191-04, 3 Performance of Electrical Storage Tank Water Heaters for Domestic Hot Water Service. 4 NS Power is not aware of any proposed standards to improve efficie...

AI summary The text discusses water heater efficiency standards, rebate programs, and projected adoption rates of heat pump water heaters. It highlights the current standard (CAN/CSA-C191-04), the lack of proposed efficiency improvements, and the impact of increased heat pump usage on water heating intensity. A table provides estimated intensity per electric water heating household from 2023 to 2027.

Customer Programs Section 3 of NS Power’s Compliance Filing 9 provides an overview of the customer programs for each asset class under the Project. As of December 31, 2022, the structure of those customer programs is the same as outlined i...

AI summary This section outlines updates to NS Power's customer programs, including the extension of the EV Smart Charging program, adjustments due to vehicle compatibility issues, and the inclusion of Powerwalls in the 10 Intelligent Feeder project. These updates affect program eligibility and incentives.

2023, all drivers who transitioned from the original ChargePoint program would be offered the $20 per month incentive payment, as the original ChargePoint program ended December 31, 2022. Community Solar G arden • Recruitment of applicants...

AI summary The ChargePoint program transitioned in 2023, offering a $20 monthly incentive to drivers. The Community Solar Garden reached full residential capacity, with a waitlist for new subscriptions. NS Power continued managing battery storage enrollment and tested commercial subscriptions in 2023.

CI C0010788 – Smart Grid Semi-Annual Report Attachment 4 Page 5 of 7 Attachment 4 – Solar Garden Specific Metrics Cumulative Month Subscribed Unsubscribed Monthly Net Total Subscriber Base Apr 12 – 12 140 May 8 1 7 147 Jun 20 1 19 166 Jul...

AI summary The document provides a summary of the Solar Garden program's subscriber activity over a 9-month period, showing the number of subscribed and unsubscribed users, monthly net changes, and cumulative subscriber base.

3.50 3.75 – – 7.25 1,228.00 Total 1,224.50 61.00 – (57.50) 1,228.00 – NS Power relies on customers to self-identify as low income. No subscribers have identified themselves as low income. NS Power is otherwise unable to discern the level o...

AI summary The document outlines estimated average participant bill impacts for residential and commercial classes related to community solar programs. It notes that NS Power relies on customers to self-identify as low income, and no subscribers have done so. The bill impacts show a cost increase for both residential and commercial participants.

(2) No funded project between Jan 2021 and Dec 2021? Guidance and Definitions Innovation Valid 1) Between Jan 2021 and Dec 2021,has your business or institution developed any new or (2) No significantly improved products as a result of the...

AI summary The text includes a series of questions about project outcomes between Jan 2021 and Dec 2021, and describes a Community Solar Garden subscription program launched in November 2021, which allows eligible customers to subscribe to solar capacity and receive credits on their bills.

aining activities that were specifically intended to help employees advance the project). ←Return to the Benefits Data Tab Co-Ops X 5 A 1 8 T Provide information on the number of co-ops, interns, and other student work placements that bega...

AI summary The text requests information on the number of co-ops, interns, and student work placements initiated by the company in the past fiscal year, including specific details for those working on the SIF-funded project, such as institution, level, term dates, field of study, and postal code.

Heat Pump Water Heater (Air-Water) 976.65 976.65 - Calculator V5 - (October 26, 2018) Old vs. new space/water heating system Fossil Fuel Displacement or Brand New System Is there an existing space cooling system OR were t None Customer Rat...

AI summary The text provides a snippet of a calculator tool used for comparing old and new space/water heating systems, with specific details about a centralized heat pump system (Air-Air) under the R22 customer rate class. It includes assumptions about energy usage and peak demand, but much of the content is redacted as confidential.

Heat Pump Water Heater (Air-Water) 976.65 976.65 - Calculator V5 - (October 26, 2018) Old vs. new space/water heating system Fossil Fuel Displacement or Brand New System Is there an existing space cooling system OR were t None Customer Rat...

AI summary This text includes a heat pump water heater cost, a calculator version date, and a customer rate class with details on a centralized heat pump system. It also references a 2023 Load Forecast Report and NSPI responses to Synapse Energy Economics, though much of the content is redacted.

2023 Load Forecast Report (NSUARB M11108) NSPI Responses to Synapse Energy Economics Information Requests NON-CONFIDENTIAL 1 Request IR-18: 2 3 Residential Sector (Section 5) 4 5 (a) Please provide the inputs and calculations used to produ...

AI summary The document outlines a series of information requests from the NSUARB to NSPI regarding the 2023 Load Forecast Report, focusing on residential sector data, calculations, and assumptions related to solar adoption, new customers, and the impact of the COVID-19 pandemic on residential electricity usage.

within the model for each segment, as required and as permitted by data availability. ©2019 Navigant Consulting, Ltd. Page 20 . REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Synapse IR-30 Attachment 1 Page 29 of 355...

AI summary The document discusses the segmentation of residential and BNI customers for energy efficiency and demand response studies, highlighting different customer segments based on building type and income level.

the type of residential building occupied, as shown in Figure 2-2. Figure 2-2. Description of Residential Segments Segment Description Mi’kmaw Mi’kmaw Households, blended building type Single-Family Market Rate Detached, attached, row and/...

AI summary The document categorizes residential buildings in Nova Scotia into different segments, including Mi’kmaw, Single-Family Market Rate, Single-Family Low Income, Multifamily Market Rate, and Multifamily Low Income. Data is sourced from Navigant, using Nova Scotia customer and StatsCan data, and includes estimates of housing stocks for each segment.

t Report Synapse IR-30 Attachment 1 Page 32 of 355 Nova Scotia Energy Efficiency and Demand Response Potential Study for 2021-2045 2.5 Electricity Consumption EfficiencyOne provided Navigant with information on actual sales and customer nu...

AI summary The document discusses electricity consumption in Nova Scotia in 2019, segmented into residential and BNI sectors. Data from the 2018 Emera MD&A report and the 2018 Nova Scotia Power load forecast were used to estimate consumption levels before demand-side management (DSM) was applied.

ngs by Sector (GWh, gross at generator) Source: Navigant analysis ©2019 Navigant Consulting, Ltd. Page 29 . REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Synapse IR-30 Attachment 1 Page 38 of 355 Nova Scotia Energy...

AI summary The document presents technical savings potential for winter peak demand by sector in Nova Scotia, showing that the BNI sector ranges between 660 to 730 MW annually, while the residential sector ranges from 1,460 to 1,570 MW. The savings potential as a percentage of consumption for both sectors ranges between 70% to 81% annually, due in part to fuel-switching measures.

generator) Source: Navigant analysis ©2019 Navigant Consulting, Ltd. Page 36 . REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Synapse IR-30 Attachment 1 Page 45 of 355 Nova Scotia Energy Efficiency and Demand Respons...

AI summary The document presents the top forty energy efficiency measures ranked by their winter peak demand technical savings potential for residential and BNI sectors in 2021. HVAC-related measures like Wi-Fi Thermostats, Wood Furnaces, and Air Source heat pumps are highlighted as major contributors to demand reduction.

• Residential Level 1: By Sector • Commercial and Industrial (BNI) • Electric Vehicles (EV) • Residential • BNI » Small Commercial » Large Commercial Level 2: By Customer Class 13 » Small Industrial » Large Industrial » Interruptible Rider...

AI summary The text outlines a hierarchical classification of customer classes and sectors for energy programs, including residential, commercial and industrial (BNI), and electric vehicles, with further breakdowns by building type and customer class.

building type • Winter peak demand projections o By customer class, building type and end use 10.2.1 Customer Count Projections The steps to generate customer count projections include: • Separate out Interruptible Rider customers using BN...

AI summary The text outlines the process for generating customer count projections by separating interruptible rider customers, excluding certain account types, and disaggregating residential and municipal customers based on NS Power and NSP data. It also mentions peak period definitions and peak demand projections by customer class and building type.

direct install and rebate programs, for example) and the program delivery or administrative cost (upstream versus downstream). The achievable potential analysis will be addressed and reported at the sector level (residential and BNI) by en...

AI summary The text discusses the analysis of achievable potential for energy efficiency programs, including baseline market conditions, technology portfolios, customer behavior modeling, and the state of the Nova Scotia electricity system. The analysis will be conducted at the residential and BNI sectors, considering up to five scenarios due to budget and timeline constraints.

Description Level 1 1. Residential By Sector 2. Business, Non-profit and Institutional (BNI) 3. Residential o Single and Multi-Family o Low Income 4. Commercial Level 2 o Small General Demand By Segment o General Demand o Large General (fo...

AI summary The text outlines a classification system for electricity customers in Nova Scotia, divided into sectors, segments, and end uses. It includes residential, business, non-profit, institutional, commercial, and industrial categories, each further broken down into subcategories such as low-income households, small and large industrial users, and specific end uses like heating and electric vehicles.

............................................. 27 4. Online Survey Findings .......................................................................................... 28 4.1 Online Survey Residential Sector Findings ...........................

AI summary The document discusses a baseline study of the Nova Scotia residential sector and BNI sector as part of a 2021-2045 energy efficiency and demand response potential study. It includes findings from an online survey and is part of an attachment to the 2023 Load Forecast Report.

Appendix B Nova Scotia Residential Sector and BNI Sector Baseline Study

AI summary Appendix B presents a baseline study on the Nova Scotia residential sector and BNI sector, providing foundational data for analysis and planning purposes.

-3 – Residential Sector Online Survey Results ..................................... 37 Appendix B-4 – BNI Sector Online Survey Results .................................................. 38 Page iii ©2019 Navigant Consulting, Ltd. . Date Fi...

AI summary The document presents baseline study results for the Nova Scotia residential sector and BNI sector, derived from online survey data, as part of a larger energy efficiency and demand response potential study spanning 2021-2045.

Appendix B Nova Scotia Residential Sector and BNI Sector Baseline Study

AI summary This document introduces Appendix B, which contains a baseline study focusing on the residential sector and the BNI sector in Nova Scotia. It provides foundational data and analysis relevant to energy efficiency and demand-side management initiatives.

esidential Sector Section 3 – Summary of Findings – BNI Sector Section 4 – Online Survey Findings Appendix B-1 – Residential Sector Online Survey Instrument Page 2 ©2019 Navigant Consulting, Ltd. . Date Filed: August 14, 2019 Page 6 of 42...

AI summary The document contains sections and appendices related to a residential sector and BNI sector baseline study, including online survey instruments and results. It is part of a larger energy efficiency and demand response potential study for Nova Scotia from 2021-2045.

2023 Load Forecast Report Synapse IR-30 Attachment 1 Page 175 of 355 Nova Scotia Energy Efficiency and Demand Response Potential Study for 2021-2045 Appendix B 2. SUMMARY OF FINDINGS – RESIDENTIAL SECTOR This section presents detailed find...

AI summary The document provides a summary of findings from a residential sector survey conducted in Nova Scotia, highlighting regional distribution of survey responses, with the majority coming from the Halifax region. It is part of a broader study assessing energy efficiency and demand response potential from 2021 to 2045.

ecast Report Synapse IR-30 Attachment 1 Page 176 of 355 Nova Scotia Energy Efficiency and Demand Response Potential Study for 2021-2045 Appendix B 2.2 Residential – Primary Place of Residence As shown in Figure 2, the majority of responden...

AI summary The document discusses residential energy use in Nova Scotia, noting that most residents own their homes and live in single-family detached dwellings. Electricity and oil are the primary heating sources, with 26% using heat pumps. Many households have secondary heating systems, and 31% rely on fuel oil for primary heating.

and then heat pump (16%), wood/pellets/chips (9%), natural gas (4%), propane (2%). Figure 4. Residential Sector – Primary Heating Source Fuel Type 2.4 Residential – Clothes Dryers The vast majority of respondents have a clothes dryer in th...

AI summary The document discusses residential heating sources and appliance usage in Nova Scotia, highlighting the prevalence of heat pumps, wood/pellets/chips, natural gas, and propane. It also provides data on the age and types of clothes dryers and washing machines in residential homes.

circuitry is designed to monitor and control power to each electrical outlet in the strip to improve energy efficiency and prevent household electronics from wasting power. Figure 8. Residential Sector – Power Bars ©2019 Navigant Consultin...

AI summary The document discusses residential energy efficiency in Nova Scotia, focusing on power bars and water heaters. It highlights the prevalence of water heaters in homes, the types of water heaters used, and the absence of advanced models like heat pump or smart water heaters. The data comes from a survey and is part of a broader energy efficiency and demand response potential study.

Figure 9. Residential Sector – Water Heaters ©2019 Navigant Consulting, Ltd. Page 10 . Date Filed: August 14, 2019 Page 14 of 42 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Synapse IR-30 Attachment 1 Page 182 of 3...

AI summary The text discusses residential water usage in Nova Scotia, focusing on the number of shower heads and faucets in homes, as well as the prevalence of low-flow aerators and shower heads. This data is part of a larger study on energy efficiency and demand response potential from 2021 to 2045.

Figure 16. Residential Sector – Cost Savings (Lower Cost Project) ©2019 Navigant Consulting, Ltd. Page 16 . Date Filed: August 14, 2019 Page 20 of 42 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Synapse IR-30 Attac...

AI summary The text discusses residential sector cost savings based on survey responses, highlighting that a majority of respondents would pursue energy efficiency projects with annual savings of $550 or more, or a two-year payback period. It also mentions residential demographics and participation from all three regional municipalities.

re 18. Residential Sector – Home Ownership and Municipality of Residence ©2019 Navigant Consulting, Ltd. Page 17 . Date Filed: August 14, 2019 Page 21 of 42 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Synapse IR-3...

AI summary The text discusses demographic data from a residential sector study, highlighting the even distribution of male and female participants across age groups and the percentage of low-income households based on Statistics Canada’s LICO measures.

Figure 20. Residential Sector – Household Income Type ©2019 Navigant Consulting, Ltd. Page 18 . Date Filed: August 14, 2019 Page 22 of 42 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Synapse IR-30 Attachment 1 Page...

AI summary The document provides a summary of survey responses from the BNI sector in Nova Scotia, highlighting the regional distribution of responses, with the majority coming from the Halifax region. This data is part of a broader study on energy efficiency and demand response potential from 2021 to 2045.

2045 Appendix B 4. ONLINE SURVEY FINDINGS This section presents online survey findings for the residential and BNI sector surveys. 4.1 Online Survey Residential Sector Findings 4.1.1 Basic Home Characteristics

AI summary This section introduces online survey findings for the residential and BNI sector surveys, starting with basic home characteristics in the residential sector.

This section presents online survey findings for the residential and BNI sector surveys. 4.1 Online Survey Residential Sector Findings 4.1.1 Basic Home Characteristics

AI summary This section presents online survey findings for the residential and BNI sector surveys, starting with basic home characteristics in the residential sector.

This section summarizes the basic home characteristics of residential dwellings in Nova Scotia. It is important to note that all data presented in this section is self-reported data gathered utilizing the residential sector online survey....

AI summary This section provides a summary of residential dwelling characteristics in Nova Scotia, based on self-reported data from an online survey. It highlights the distribution of dwelling types, ownership, age, and household income, with a focus on low-income households.

did not know the age of their home. Household Income 29% of respondents indicated they are low income (low income cut-offs based on Statistics Canada measures). 71% of respondents are not low income. Utility Bill Payment 89% of residents s...

AI summary The survey found that 29% of respondents are low income, and 89% pay their own electricity bills. The majority of respondents are located in the Halifax Regional Municipality and Elsewhere in Mainland Nova Scotia. The data is part of a residential lighting study in the 2023 Load Forecast Report.

l Service Bulbs 80% of light bulbs were general service bulbs. Specialty Bulbs Specialty bulbs accounted for an additional 13% of lighting.. Linear Fluorescent Bulbs Respondents reported more than 7% of bulbs were linear fluorescent lights...

AI summary The text provides statistical data on residential lighting and heating equipment usage in Nova Scotia. It highlights the prevalence of general service bulbs, specialty bulbs, LED bulbs, and motion detection systems. It also outlines the distribution of electric heating as primary and backup systems in households.

62% of households have a secondary heating system installed. Of Backup these, 26% use some form of electric heating as a backup source. Fuel Oil Heating 31% of primary heating systems are fuel oil. Programmable 27% of residents surveyed re...

AI summary The text provides data on residential heating systems and water heating equipment in Nova Scotia, highlighting the prevalence of secondary heating systems, fuel oil usage, programmable thermostats, and mini-split heat pumps among households.

Appendix B 4.1.4 Residential Water Heating and Water Conservation Figure 38 presents details on the water heating equipment present in the surveyed homes. Figure 38. Residential Water Heating Profile Measure / Characteristics Online Survey...

AI summary This section discusses residential water heating and conservation based on survey findings. It highlights that 71% of primary water heaters are electric, with varying ages and features such as tank wraps. Non-electric water heaters account for 29%, and very few households report owning heat pump or smart water heaters. Shower heads and faucets are also summarized.

24% of stand-alone freezers are less than 5 years old. 33% are at least 5 years but less than 10 years old, and 43% are 10 years or older. Residential Mini 75% of homes reported having no mini refrigerator or wine Refrigerators or Wine fri...

AI summary The text provides statistics on the age distribution of residential appliances such as freezers, mini refrigerators, and clothes washers. It highlights that a significant portion of these appliances are older than 10 years, indicating potential areas for energy efficiency improvements.

10 years old c. Ten years or older RECORD NUMBER _ 98 Don’t know 13. How many of the following do you have in your home… RECORD Don’t know NUMBER a) Full-size refrigerators (Note: these do not include 8 mini fridges or wine fridges)? b) M...

AI summary The text contains survey questions about household appliances and a reference to a 2019 residential energy survey, as well as a mention of a 2023 Load Forecast Report and an energy efficiency and demand response potential study for Nova Scotia.

tial Study for 2021-2045 Appendix B-1 2019 E1 Residential Survey – Final 14. [ONLY POSE IF ‘1’ OR MORE IN Q.13A] Of this/these [INSERT NUMBER FROM Q.7] full-size refrigerator(s), how many are [TOTAL FOR A TO C MUST EQUAL OR BE LESS THAN WH...

AI summary The text contains survey questions from a 2019 residential energy study, asking respondents about the age distribution of their refrigerators and freezers. It includes conditional questions based on previous responses and provides instructions for recording responses.

2019 E1 Residential Survey – Final RECORD NUMBER _ 98 Don’t know Section E: Heat pumps 26. How many mini-split heat pumps do you have at your home? Please count only the exterior condensing units at your home. For example, if you have mult...

AI summary This document is part of a 2019 residential survey focusing on heat pumps and thermostat usage in homes. It includes questions about the number of mini-split heat pumps and thermostats, with some respondents indicating they do not know the answers.

2019 E1 Residential Survey – Final 29. How many, if any, of the following does your home have? RECORD Don’t know NUMBER a) Dehumidifier 8 b) Clothes line 8 c) Wood stove 8 Section G: Lighting 30. Please walk around your home and count a...

AI summary This section of the 2019 E1 Residential Survey asks respondents to identify specific household items and count their lighting fixtures, including details on the type of bulbs used. It includes instructions for accurate data entry.

8 DISPLAY IMAGE Section H: Willingness/Awareness RANDOMIZE ORDER OF 32-35 & 33-34 32. Before today, how familiar were you with: ROTATE LIST; RANDOMLY POSE ONLY ONE OF THESE ITEMS 0 - Completely 1 2 3 4 5 6 7 8 9 10 – Unfamiliar Completely...

AI summary The text presents survey questions related to consumer awareness and willingness to participate in energy efficiency programs, specifically focusing on heat pump technologies and the financial considerations of energy efficiency projects.

al Study for 2021-2045 Appendix B-1 2019 E1 Residential Survey – Final IF ‘YES,’ DECREASE AND ASK UNTIL ‘NO’ OR NONE REMAINING. IF ‘NO,’ INCREASE AND ASK UNTIL ‘YES,’ OR NONE REMAINING Yes No Don’t know a) $100 1 2 8 b) $250 1 2 8 c)...

AI summary This section presents survey data from the 2019 E1 Residential Survey, showing responses to questions about potential price increases, with participants indicating their willingness to pay various amounts ranging from $100 to $1,300.

2019 E1 Residential Survey – Final IF ‘YES,’ DECREASE AND ASK UNTIL ‘NO’ OR NONE REMAINING. IF ‘NO,’ INCREASE AND ASK UNTIL ‘YES,’ OR NONE REMAINING Yes No Don’t know a) $15 1 2 8 b) $25 1 2 8 c) $35 1 2 8 d) $45 1 2 8 e) $55 ...

AI summary This text is from a 2019 residential survey that includes questions about household income and demographics. The survey asks respondents to indicate their income level and the number of people in their household, with specific attention to income thresholds and confidentiality assurances.

ting… 15. Please walk around your business’ location and count all light bulbs, including those in closets, and parking garages. Next please indicate how many… Number of LED Number of Don’t know Bulbs Non-LED Bulbs f) Parking garage lights...

AI summary The text provides instructions for counting light bulbs in various areas of a business location, including parking garages, linear lighting, and pole-mounted area lights, with separate categories for LED and non-LED bulbs.

2 Head office or other department pays 3 No, landlord pays 98 Don’t know/Not sure 99 Other (Please specify: _) 26a. [POSE IF CODES 1 OR 2 IN Q.26] Please select the electric utility provider that provides electricity at your business’ Nova...

AI summary The text includes survey response options related to electricity provider selection and rate codes for businesses in Nova Scotia, along with a reference to a redacted 2019 commercial survey and a load forecast report attachment.

450 548 202 333 467 246 651 681 321 428 573 268 458 544 218 784 169 170 150 153 1 Narrative Research . NAV002-1000 Date Filed: August 14, 2019 Page 1 of 54 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Synapse IR-30...

AI summary The document contains a redacted section of a 2023 Load Forecast Report and a 2019 Electricity Usage Survey related to residential energy efficiency and demand response potential in Nova Scotia. It includes data from a study covering the years 2021-2045.

not of the number of respondents): Q7. How many electric clothes dryers do you have in your home? Q8. [IF Q7 '1' OR MORE] Of this/these [Q7 RESPONSE] clothes dryer(s), how many are heat pump dryers? REGION GENDER AGE LOW INCOME HOME HEATIN...

AI summary The text presents survey questions and data on the number of electric clothes dryers, specifically heat pump dryers, in homes across different regions, genders, age groups, and income levels in Nova Scotia. It includes weighted and unweighted sample sizes for various demographic and geographic categories.

Appendix B-3 NAVIGANT 2019 Electricity Usage Surveys - Residential TABLE 9 (Responses shown as a proportion of the total number of specific items, and not of the number of respondents): [IF Q7 '1' OR MORE] Of this/these [Q7 RESPONSE] cloth...

AI summary This section of the document presents a table from the 2019 Electricity Usage Surveys focusing on residential clothes dryers, showing responses as a proportion of the total number of specific items.

Appendix B-3 NAVIGANT 2019 Electricity Usage Surveys - Residential TABLE 11 (Responses shown as a proportion of the total number of specific items, and not of the number of respondents): [IF Q10 '1' OR MORE] Of this/these [Q10 RESPONSE] cl...

AI summary This text presents a table from a 2019 electricity usage survey focusing on residential clothes washers, showing responses as a proportion of the total number of specific items.

REGION GENDER AGE LOW INCOME HOME HEATING TYPE(S) INEXPENSIVE UPGRADES EXPENSIVE UPGRADES AGE OF HOME OVERALL % Other HRM Cape Breton Male Female 18-34 35-54 55+ Yes No Own Rent Oil Electricity Heat pump Familiar (7-10) Unfamiliar (0-6) Fa...

AI summary The text presents a table with demographic and housing-related data, including gender, age, income, home ownership, heating types, and age of homes. It provides percentages and sample sizes across various regions in Nova Scotia.

Appendix B-3 NAVIGANT 2019 Electricity Usage Surveys - Residential TABLE 17: How many power bars do you have in your home? A power bar is a block of electrical sockets that attaches to the end of a flexible cable allowing multiple electric...

AI summary This table from the 2019 Electricity Usage Surveys asks residential customers how many power bars they have in their homes, defining a power bar as a block of electrical sockets attached to a flexible cable.

Appendix B-3 NAVIGANT 2019 Electricity Usage Surveys - Residential TABLE 17+18 (Responses shown as a proportion of the total number of specific items, and not of the number of respondents): How many power bars do you have in your home? A p...

AI summary This section of the document presents survey questions from the 2019 Electricity Usage Surveys focusing on residential electricity usage, specifically asking about the number of power bars and smart power bars in homes.

Appendix B-3 NAVIGANT 2019 Electricity Usage Surveys - Residential TABLE 20 (Responses shown as a proportion of the total number of specific items, and not of the number of respondents): [IF Q19 '1' OR MORE] Of this/these [Q19 RESPONSE] ho...

AI summary Appendix B-3 from the 2019 Electricity Usage Surveys - Residential includes Table 20, which presents survey responses as a proportion of the total number of specific items, focusing on hot water heaters.

Appendix B-3 NAVIGANT 2019 Electricity Usage Surveys - Residential TABLE 22+23 (Responses shown as a proportion of the total number of specific items, and not of the number of respondents): Q22. How many shower heads do you have in your ho...

AI summary The text presents data from the 2019 Electricity Usage Surveys focusing on residential shower head usage, specifically asking about the number of shower heads and how many are low-flow.

Appendix B-3 NAVIGANT 2019 Electricity Usage Surveys - Residential TABLE 26: How many mini-split heat pumps do you have at your home? Please count only the exterior condensing units at your home. For example, if you have multiple indoor bl...

AI summary This table from the 2019 Electricity Usage Surveys asks residential respondents to count the number of mini-split heat pump exterior condensing units at their homes, providing an example for clarification.

tricity Usage Surveys - Residential TABLE 28B: [IF Q27 '1' OR MORE] Of this/these [Q27 RESPONSE] thermostat(s), how many are… Programmable, that is, you can set schedules to control the temperature?

AI summary This text refers to a residential electricity usage survey, specifically asking about the number of programmable thermostats among those listed in response to question 27.

Appendix B-3 NAVIGANT 2019 Electricity Usage Surveys - Residential TABLE 27+28B+28aa (Responses shown as a proportion of the total number of specific items, and not of the number of respondents): Q27. How many thermostats does your home ha...

AI summary The text presents survey questions from the 2019 Electricity Usage Surveys - Residential, focusing on the number of thermostats in homes and their programmability. It includes conditional questions based on previous responses.

REGION GENDER AGE LOW INCOME HOME HEATING TYPE(S) INEXPENSIVE UPGRADES EXPENSIVE UPGRADES AGE OF HOME OVERALL % Other HRM Cape Breton Male Female 18-34 35-54 55+ Yes No Own Rent Oil Electricity Heat pump Familiar (7-10) Unfamiliar (0-6) Fa...

AI summary The text presents a table with demographic and housing-related data, including proportions of programmable and smart home features, weighted and unweighted sample sizes, and various categories such as age, gender, income, heating type, and home age. The table provides statistical insights into different segments of the population in Nova Scotia.

Appendix B-3 NAVIGANT 2019 Electricity Usage Surveys - Residential TABLE 29B: How many, if any, of the following does your home have? Clothes line

AI summary Appendix B-3 from the document includes a survey question from Navigant's 2019 Electricity Usage Surveys, asking residential respondents about the presence of a clothes line in their homes.

Appendix B-3 NAVIGANT 2019 Electricity Usage Surveys - Residential TABLE 30: Please walk around your home and count all light bulbs, including those in closets, attics, garages, outdoor lights, etc. Please take note of how many bulbs are L...

AI summary This section of the document provides instructions for a residential electricity usage survey, specifically asking participants to count and categorize all light bulbs in their homes, including details on bulb types such as LED, traditional, special screw-in, linear fluorescents, and smart lights.

REGION GENDER AGE LOW INCOME HOME HEATING TYPE(S) INEXPENSIVE UPGRADES EXPENSIVE UPGRADES AGE OF HOME OVERALL % Other HRM Cape Breton Male Female 18-34 35-54 55+ Yes No Own Rent Oil Electricity Heat pump Familiar (7-10) Unfamiliar (0-6) Fa...

AI summary The data presents demographic and housing-related statistics, including gender, age, income, home ownership, heating types, and age of homes across different regions in Nova Scotia. It highlights the distribution of low-income households and familiarity with energy upgrades.

Appendix B-3 NAVIGANT 2019 Electricity Usage Surveys - Residential TABLE 31E: [IF Q31B NOT 'Don't know'] How many are smart lights, that is, they can be controlled over the internet via a smart phone or computer?

AI summary This section of the document presents a survey question from the 2019 Electricity Usage Surveys - Residential, asking respondents about the number of smart lights they have that can be controlled over the internet via a smartphone or computer.

Appendix B-3 NAVIGANT 2019 Electricity Usage Surveys - Residential TABLE 31F: [IF Q31B LESS THAN Q30] How many are linear fluorescents (i.e., tube lights)?

AI summary This section of the document presents a survey question from the 2019 Electricity Usage Surveys - Residential, asking how many linear fluorescent lights are present when the quantity of linear fluorescents is less than the quantity of another item.

Appendix B-3 NAVIGANT 2019 Electricity Usage Surveys - Residential TABLE 31aa: How many of the following are in your home? Manual light dimmers

AI summary Appendix B-3 from the document includes a survey question from NAVIGANT about the presence of manual light dimmers in residential homes as part of the 2019 Electricity Usage Surveys.

2019 Electricity Usage Surveys - Residential TABLE 32_2: Before today, how familiar were you with: ENERGY STAR Mini Split Heat Pumps

AI summary The text references a 2019 electricity usage survey focusing on residential energy use and includes a table asking respondents about their familiarity with ENERGY STAR Mini Split Heat Pumps prior to a specific date.

2019 Electricity Usage Surveys - Residential TABLE 32_3: Before today, how familiar were you with: Heat Pump Clothes Dryers

AI summary The document text refers to a 2019 Electricity Usage Survey focusing on residential users and includes a table asking about familiarity with Heat Pump Clothes Dryers. The content is limited and does not provide substantial discussion or arguments.

REGION GENDER AGE LOW INCOME HOME HEATING TYPE(S) INEXPENSIVE UPGRADES EXPENSIVE UPGRADES AGE OF HOME OVERALL % Other HRM Cape Breton Male Female 18-34 35-54 55+ Yes No Own Rent Oil Electricity Heat pump Familiar (7-10) Unfamiliar (0-6) Fa...

AI summary The text presents a table with demographic and housing-related data, including gender, age, income level, home ownership, heating types, and familiarity with home upgrades. It includes statistics across various regions in Nova Scotia.

REGION GENDER AGE LOW INCOME HOME HEATING TYPE(S) INEXPENSIVE UPGRADES EXPENSIVE UPGRADES AGE OF HOME OVERALL % Other HRM Cape Breton Male Female 18-34 35-54 55+ Yes No Own Rent Oil Electricity Heat pump Familiar (7-10) Unfamiliar (0-6) Fa...

AI summary The text presents a table with demographic and housing-related data, including gender, age, low-income status, home ownership, heating types, and familiarity with energy upgrades. It includes percentages and counts across various categories, such as age groups, regions, and heating sources.

Appendix B-3 NAVIGANT 2019 Electricity Usage Surveys - Residential TABLE 35A: Suppose an energy efficiency project has NO impact on the QUALITY of lighting, heating, and cooling in your home, but changes the amount of energy consumed and M...

AI summary The text discusses a hypothetical energy efficiency project with no impact on home comfort but may cause inconvenience and cost $1,000 after rebates, saving $100 annually. It references a survey conducted by Navigant in 2019 on residential electricity usage.

Appendix B-3 NAVIGANT 2019 Electricity Usage Surveys - Residential TABLE 33_7: Before today, how familiar were you with: Low flow Showerheads

AI summary The text refers to a survey question from the 2019 Electricity Usage Surveys - Residential, asking about familiarity with low flow showerheads before today.

REGION GENDER AGE LOW INCOME HOME HEATING TYPE(S) INEXPENSIVE UPGRADES EXPENSIVE UPGRADES AGE OF HOME OVERALL % Other HRM Cape Breton Male Female 18-34 35-54 55+ Yes No Own Rent Oil Electricity Heat pump Familiar (7-10) Unfamiliar (0-6) Fa...

AI summary The text presents a table with demographic and housing-related data, including gender, age, income level, home ownership, heating types, and familiarity with home upgrades. It provides statistics across various regions in Nova Scotia.

REGION GENDER AGE LOW INCOME HOME HEATING TYPE(S) INEXPENSIVE UPGRADES EXPENSIVE UPGRADES AGE OF HOME OVERALL % Other HRM Cape Breton Male Female 18-34 35-54 55+ Yes No Own Rent Oil Electricity Heat pump Familiar (7-10) Unfamiliar (0-6) Fa...

AI summary The text presents statistical data on demographics, income levels, home ownership, heating types, and age of homes across different regions in Nova Scotia. It includes percentages and sample sizes for various categories such as gender, age groups, low-income status, and heating type preferences.

REGION GENDER AGE LOW INCOME HOME HEATING TYPE(S) INEXPENSIVE UPGRADES EXPENSIVE UPGRADES AGE OF HOME OVERALL % Other HRM Cape Breton Male Female 18-34 35-54 55+ Yes No Own Rent Oil Electricity Heat pump Familiar (7-10) Unfamiliar (0-6) Fa...

AI summary The text presents survey data on low-income households in Nova Scotia, including demographics, heating types, and familiarity with home energy upgrades. It highlights differences between regions, genders, and age groups, providing insights into energy affordability and home characteristics.

REGION GENDER AGE LOW INCOME HOME HEATING TYPE(S) INEXPENSIVE UPGRADES EXPENSIVE UPGRADES AGE OF HOME OVERALL % Other HRM Cape Breton Male Female 18-34 35-54 55+ Yes No Own Rent Oil Electricity Heat pump Familiar (7-10) Unfamiliar (0-6) Fa...

AI summary The document presents a statistical breakdown of survey responses related to low-income households, heating types, home age, and awareness of energy upgrades in Nova Scotia. It includes percentages and sample sizes for different regions and demographics.

NAVIGANT 2019 Electricity Usage Surveys - Residential TABLE 37B: [IF Q36A AND Q36B TOTAL 2-4] Was your household income before taxes last year below $40,548?

AI summary The text references a 2019 electricity usage survey focusing on residential households and includes a question about household income before taxes being below $40,548.

2019 Electricity Usage Surveys - Residential TABLE 37B: [IF Q36A AND Q36B TOTAL 2-4] Was your household income before taxes last year below $40,548?

AI summary The text refers to a 2019 electricity usage survey focusing on residential households, specifically asking about household income before taxes for the previous year.

REGION GENDER AGE LOW INCOME HOME HEATING TYPE(S) INEXPENSIVE UPGRADES EXPENSIVE UPGRADES AGE OF HOME OVERALL % Other HRM Cape Breton Male Female 18-34 35-54 55+ Yes No Own Rent Oil Electricity Heat pump Familiar (7-10) Unfamiliar (0-6) Fa...

AI summary The table presents demographic data on low-income households in Nova Scotia, including gender, age, heating type, and age of homes. It shows the distribution of responses across various categories, such as heating type and familiarity with energy upgrades.

20 31 15 34 3 17 33 32 20 27 34 12 28 24 14 38 14 6 5 5 49 Narrative Research . NAV002-1000 Date Filed: August 14, 2019 Page 49 of 54 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Synapse IR-30 Attachment 1 Page 290...

AI summary This document contains a table from a 2019 electricity usage survey focusing on residential consumers in Nova Scotia. It is part of a larger study on energy efficiency and demand response potential for the years 2021-2045, and is associated with a load forecast report from 2023.

Appendix B-3 NAVIGANT 2019 Electricity Usage Surveys - Residential TABLE 40: [IF Q39 NOT 'Don't know/Not sure'] What other types of heating, if any, do you currently have for your principal place of residence? Please select all that apply.

AI summary This section of the document includes a survey question about additional heating types used in residential properties, as part of the 2019 Electricity Usage Surveys.

REGION GENDER AGE LOW INCOME HOME HEATING TYPE(S) INEXPENSIVE UPGRADES EXPENSIVE UPGRADES AGE OF HOME OVERALL % Other HRM Cape Breton Male Female 18-34 35-54 55+ Yes No Own Rent Oil Electricity Heat pump Familiar (7-10) Unfamiliar (0-6) Fa...

AI summary The text presents a table with demographic and energy usage data, including gender, age, income, home ownership, heating types, and the familiarity with energy upgrades across different regions in Nova Scotia.

Appendix B-3 NAVIGANT 2019 Electricity Usage Surveys - Residential TABLE 39+40: What is the main source of energy used to heat your principal place of residence? [IF Q39 NOT 'Don't know/Not sure'] What other types of heating, if any, do yo...

AI summary The text presents a survey question from Appendix B-3, asking about the main source of energy used for heating and additional heating types, if any, in residential properties.

REGION GENDER AGE LOW INCOME HOME HEATING TYPE(S) INEXPENSIVE UPGRADES EXPENSIVE UPGRADES AGE OF HOME OVERALL % Other HRM Cape Breton Male Female 18-34 35-54 55+ Yes No Own Rent Oil Electricity Heat pump Familiar (7-10) Unfamiliar (0-6) Fa...

AI summary The text presents a table with demographic and energy-related data, including gender, age, income, home ownership, heating types, and familiarity with energy upgrades. It reflects statistics across different regions in Nova Scotia.

REGION GENDER AGE LOW INCOME HOME HEATING TYPE(S) INEXPENSIVE UPGRADES EXPENSIVE UPGRADES AGE OF HOME OVERALL % Other HRM Cape Breton Male Female 18-34 35-54 55+ Yes No Own Rent Oil Electricity Heat pump Familiar (7-10) Unfamiliar (0-6) Fa...

AI summary The text presents data on heating systems and home characteristics across different regions and demographics in Nova Scotia, including the prevalence of electric baseboards, ductless heat pumps, and electric resistance boilers, along with information on income, age, and home heating types.

4 6 6 5 9 1 2 3 furnace which uses an electric heating element and distributes heat through hot water, to your floor or radiators) Electric Resistance Furnace (i.e., a central 4 7 2 2 4 4 9 3 1 4 4 3 6 9 4 0 5 3 8 3 4 0 3 3 furnace which u...

AI summary The text provides a table with data on various heating systems, including electric resistance furnaces, central air-source heat pumps, ground-source heat pumps, and other types. The data includes numerical values that may represent usage statistics or other metrics.

REGION GENDER AGE LOW INCOME HOME HEATING TYPE(S) INEXPENSIVE UPGRADES EXPENSIVE UPGRADES AGE OF HOME OVERALL % Other HRM Cape Breton Male Female 18-34 35-54 55+ Yes No Own Rent Oil Electricity Heat pump Familiar (7-10) Unfamiliar (0-6) Fa...

AI summary The text presents a survey of households in Nova Scotia, detailing demographics, income levels, home ownership, heating types, and familiarity with home upgrades. It includes weighted and unweighted sample sizes for different regions and demographics.

s (LED + non-LED)] Q15A_1. Number of Non-LED Bulbs Q15A_2. Number of LED Bulbs Q16A. [IF Q15A_LED 1 OR MORE] Of these LED light bulbs, how many are connected to the internet (i.e., smart lightbulbs)? REGION BUSINESS PREMISES FT EMPLOYEES S...

AI summary The text presents a table with data on the number of LED and non-LED bulbs, proportion of LED bulbs, and proportion of internet-connected LED bulbs across different regions and business premises in Nova Scotia. The table includes sample sizes and excludes responses with more than 1,000 bulbs.

s (LED + non-LED)] Q15C_1. Number of Non-LED Bulbs Q15C_2. Number of LED Bulbs Q16C. [IF Q15C_LED 1 OR MORE] Of these LED light bulbs, how many are connected to the internet (i.e., smart lightbulbs)? REGION BUSINESS PREMISES FT EMPLOYEES S...

AI summary The text presents survey data on the number of LED and non-LED bulbs, the proportion of LED bulbs connected to the internet (smart bulbs), and demographic information about businesses in Nova Scotia, including region, ownership, employee count, square footage, and heating types.

s, and not of the number of respondents): Downlight luminaire which is a small spotlight set in a ceiling and directed downwards [Proportions are shown as a percentage of total bulbs (LED + non-LED)] Q15D_1. Number of Non-LED Bulbs Q15D_2....

AI summary The text presents survey data on the adoption of LED bulbs and internet-connected smart bulbs across different regions and business premises in Nova Scotia. It includes statistics on the proportion of LED bulbs, internet-connected bulbs, and sample sizes by region, business type, and heating type.

s (LED + non-LED)] Q15G_1. Number of Non-LED Bulbs Q15G_2. Number of LED Bulbs Q16G. [IF Q15G_LED 1 OR MORE] Of these LED light bulbs, how many are connected to the internet (i.e., smart lightbulbs)? REGION BUSINESS PREMISES FT EMPLOYEES S...

AI summary The table provides data on the proportion of LED and non-LED bulbs, as well as the proportion of internet-connected LED bulbs, across different regions and business premises in Nova Scotia. It includes information on the number of employees, square footage, and heating types. Responses with more than 1,000 bulbs were excluded.

2.0 1.7 2.5 1.0 2.3 2.7 2.5 3.2 .6 2.8 2.8 This question was randomly posed to approximately one in seven respondents. 21 Narrative Research . NAV002-1000 Date Filed: August 14, 2019 Page 21 of 51 REDACTED (CONFIDENTIAL INFORMATION REMOVED...

AI summary The text includes a table from a 2019 electricity usage survey asking respondents about their familiarity with Packaged Terminal Heat Pumps (PTHP), which are used for room-by-room heating and cooling in various building types.

ling or implementing a(n) [ITEM SEEN IN Q20]. Would you generally pursue an energy efficiency project where the cost to you after utility rebates is $100,000 if the project saved $[125,000] per year? REGION BUSINESS PREMISES FT EMPLOYEES S...

AI summary The text presents a question regarding the pursuit of an energy efficiency project with a cost of $100,000 after rebates and annual savings of $125,000. It also includes a table with data on regional and business premises characteristics, as well as a question about familiarity with networked/connected lighting systems.

ject has NO impact on the QUALITY of lighting, heating, and cooling in your business, but changes the amount of energy consumed. An example might be installing or implementing a(n) [ITEM SEEN IN Q21]. Would you generally pursue an energy e...

AI summary The text discusses the impact of energy efficiency projects on a business, asking whether a project with a $7,500 cost after rebates and $6,500 annual savings would be pursued. It also includes a table with data on business premises, heating types, and responses to the energy efficiency question.

Customer count and housing New housing usage NSPI and other Programs Before future DSM Year SAE model Historical Increment Cumlative New Cumulative Forecasted New New Structural Forecast RTR Electric End-Use Solar PV Total Total SAE + Regr...

AI summary The document presents data on customer count, housing usage, and energy consumption from 2013 to 2015, including metrics such as SAE model, historical customer counts, and electric end-use. It also includes information on programs and adjustments related to demand-side management.

333 (290) 29.3 5,366.2 2031 10,208.5 488,654.0 950.8 13,871.8 2,492.9 29,574.5 532,100.3 16000 4860 1.037016 379.2 5,390.6 (14.0) 433 (348) 70.9 5,461.5 2032 10,297.5 488,654.0 845.1 14,716.9 2,313.3 31,887.8 535,258.8 16000 4860 1.040964...

AI summary The document presents data on residential load forecasts, including customer numbers, EVs, solar installations, and demand-side management (DSM) impacts from 2023 to 2033. It highlights changes in these metrics over the decade, with notable increases in customer numbers and solar installations, and decreases in residential sales due to DSM efforts.

Year Month ResEndUse.ResOther NResEndUse.SmlGenOther NResEndUse.GenOther Sales.SmlInd Sales.MedInd Sales.Unm mVars.OthrUse mVars.Days mVars.Other_AvgMW 2027 5 210,673.6 15,949.0 145,782.3 22,382.9 38,498.7 6,516.9 439,803.3 31.0 591.1 2027...

AI summary The document presents a table of energy usage and sales data across multiple months and years, including residential and non-residential end-use energy consumption, sales by industry size, and various operational metrics. This data could be relevant for regulatory analysis and decision-making.

gory UARB Comments Status Notes assess the impact of DSM, Solar PV, EVs, battery storage, and weather. The Board directs NS Power to continue NS Power held a to actively engage with intervenors as stakeholder conference on well as other st...

AI summary The NSUARB has directed NS Power to engage stakeholders and assess the impact of DSM, Solar PV, EVs, and battery storage on load forecasting. The Board also requested an evaluation of elasticity inputs in the SAE model and residential model robustness.

incorporates these trends into the forecasts. This change represents an acknowledgement of climate reality and is a definite step forward. This data should be analyzed and updated on a regular basis. NSPI previously investigated the use of...

AI summary The document discusses incorporating climate trends into load forecasts, noting a 11% residential load increase (2023-2033) with DSM programs, driven by new customers and EV adoption. A regression-based SAE model includes factors like heating, cooling, and DSM savings. Additional weather data had minimal impact on forecasts.

he SAE regression model results, and the other columns reflect various adjustments to the forecast. 9 Load Forecast Report, Appendix B, pp. 2, 7. 10 Load Forecast Report, Appendix B, pp. 2, 8. Synapse Energy Economics, Inc. Evidence Regard...

AI summary The document presents a residential load forecast table from NSPI's 2023 report, showing post-regression data with adjustments for EVs, solar, and DSM. It highlights projected load changes, including DSM's impact on residential energy use.

ding Nova Scotia Power’s 2023 Load Forecast 14 NSPI should include in its next load forecast more refined and empirically validated assumptions for any peak reduction benefit from solar generation. Solar-plus-battery The report discusses s...

AI summary The document recommends that NSPI refine its load forecast assumptions regarding solar generation's peak reduction benefits and include updated results from the SGNS project on battery storage. It also suggests exploring EV batteries for peak management and highlights a significant increase in new customer load projections by 2033.

model. • Evaluate the input variables in the residential model and test, over a period of time, if alternative inputs make the residential model more robust, considering the following: o Given the continued population growth in Nova Scotia...

AI summary The text discusses evaluating the residential model's variables, including population growth, household demographics, EV adoption rates, and hydrogen strategy impacts on load forecasting. NS Power is advised to update forecasts and engage with stakeholders on infrastructure projects.

year of warm weather. The Board finds that given the size of the unexplained variance, this category needs to be revisited. NS Power is encouraged to consider the following potential effects on load: • cooling demand during the summer mont...

AI summary The Board identifies an unexplained variance in residential load forecasting and directs NS Power to investigate factors such as cooling demand, heat pump adoption, and electrical upgrades. NS Power must report findings in the 2024 Load Forecast Report.

ed? Why were they not chosen? Document #:303618 Date Filed: May 25, 2023 Synapse (NSPI) Page 3 of 18 1 g. What consideration if any was given to labour shortages or increased automation for the 2 industrial sector? 3 h. What would be the e...

AI summary The document contains regulatory requests for data on economic forecasts, residential end-use intensity trends, and heating/heat pump usage. It seeks clarification on inflation adjustments, forecast scenarios, data transformations, and customer heating patterns, emphasizing transparency in modeling assumptions and data consistency.

2. Number of customers using primarily electric resistance heating, 27 3. Number of customers using supplemental resistance heating, 28 4. Number of customers using heat pumps for primary heating, 29 5. Number of customers using heat pumps...

AI summary The document requests data on customer heating technology usage, including electric resistance, heat pumps, oil, and natural gas, as well as projections for new customers from 2023 to 2033. It seeks detailed breakdowns of primary and supplemental heating methods across residential and commercial sectors.

Document #:303618 Date Filed: May 25, 2023 Synapse (NSPI) Page 4 of 18 1 c. Please provide supporting evidence for the 40 percent saturation of customers providing 2 their heat via heat pumps in 2023 (p. 33). 3 d. Please provide the data s...

AI summary The document contains a series of requests for evidence, data sources, and calculations related to heat pump saturation forecasts, residential water heater efficiency, and model documentation (RESHAPE). It seeks clarification on assumptions, methodology, and impacts of electrification scenarios on peak load and energy consumption.

g. It appears that the Intensity in Figure 25 represents an average that is increasing because 26 the saturation is increasing. Please confirm if this is the driver. Please provide the intensity 27 per electric water heating household for...

AI summary The text contains two requests for clarification and data: (1) confirming if increasing saturation drives rising intensity in electric water heating household data (Figure 25) and requesting annual per-household intensity values, and (2) seeking source data and methodology for the 2023 EV sales forecast (Figure 26) and how federal targets influenced it.

Document #:303618 Date Filed: May 25, 2023 Synapse (NSPI) Page 8 of 18 1 d. Please describe any changes in the data and statistical analysis used to develop the 2 coefficient for the DSM variable for the Commercial and Industrial forecast...

AI summary The document contains regulatory requests (IR-18) directed at NSPI, seeking clarifications on statistical methods for DSM coefficients, residential solar adjustments, and the impact of COVID-19 on energy forecasts. Requests focus on data sources, calculation methodologies, and assumptions related to long-term work-from-home trends.

Document: 303590 (P-194) Date Filed: 05/30/23 UARB Page 1 1 Request IR-1: 2 Pages 16 and 17 of the Application discuss customers taking service under the Renewable to 3 Retail (RTR) Tariff in 2023. Lines 3 and 4 on page 17 state: “…the cor...

AI summary The document contains four requests (IR-1 to IR-4) questioning Nova Scotia Power's (NSP) preparedness for RTR tariff adoption delays or higher take-up, the use of a single HDD reference temperature (18°C), housing start correlations with customer forecasts, and inflation-adjustment methodologies for financial variables. Each request seeks clarification on assumptions and data practices.

dollars to eliminate inflation effects. Have all the variables back to 2013 been adjusted? 28 b) Figure 17 Residential Economic Drivers provides the number of New Construction with a 29 growth rate of 35.5% in 2023. Is this data provided b...

AI summary The text raises questions about data adjustments for inflation, verification of new construction growth rates by the Canadian Mortgage Housing Corporation, and the impact of revised 2022 Load Forecast data on load projections. It also inquires about declining household compensation trends.

37 captured by end uses. 38 39 Request IR-9: 40 41 Reference: Exhibit N-8, M10569, pp. 4-5; Exhibit N-12, M10569; Exhibit N-1, Attachment 5 42 Residential Model. 43

AI summary The text references Request IR-9 and cites specific exhibits (N-8, N-12, N-1) from matter M10569, focusing on the 'Residential Model.' It provides procedural context for regulatory proceedings involving residential energy programs.

included in the filing. 24 25 (e) Please explain why “Dish,” found in Attachment 1 Residential Intensities, tab 26 “Intensities.” is not included in the XOther variable. 27 Date Filed: May 30, 2023 CA (NS Power) Page 6 of 6

AI summary The text includes a question requesting an explanation for the exclusion of 'Dish' from the XOther variable in Attachment 1's Residential Intensities table under the 'Intensities' tab.