E-9ENSC (Consumer Advocate) Responses to IR-1 to IR-27
8 passages
- 5 ample opportunity for the UARB and stakeholders to ensure oversight and accountability. 1 Request IR-5: 2 3 Please provide ENSC's views of the impact of a three year program versus a one year 4 program on projected Total Resource Cost...
AI summary ENSC discusses the impact of a three-year versus a one-year program on TRC and PAC tests, suggesting that a longer program cycle may reduce costs and improve ratios. Load forecasts from 2006 to 2011 are provided and compared with earlier IRP forecasts.
Appendix C: Forecast Sensitivity by Major Variable 1 Executive Summary 2 3 The Nova Scotia Power Inc. (NSPI) 2011 Load Forecast provides an outlook on the energy and 4 peak demand requirements of in-province customers for 2011 to 2021. As...
AI summary This appendix discusses the 2011 Load Forecast by Nova Scotia Power Inc. (NSPI), outlining the forecast's basis in historical sales, weather, economic factors, and customer behavior. It highlights the Net System Requirement (NSR) growth over the previous five years and the impact of the 2009 economic recession on load growth, with a rebound in 2010.
New load forecasting methodology under development at NSPI A review of NSPI's load forecasting methodology in 2008 recognized that load forecasting could be enhanced with better integration of DSM savings by adopting an end-use model frame...
AI summary NSPI is updating its load forecasting methodology by adopting a Statistically-Adjusted End-use (SAE) modeling approach to better integrate Demand Side Management (DSM) savings and improve analysis of efficiency trends.
Peak Demand 13 14 15 16 17 The total system peak is defined as the highest single hourly average demand experienced in a year. It includes both firm and interruptible loads and due to the weather-sensitive load component in Nova Scotia, th...
AI summary Peak demand in Nova Scotia is defined as the highest hourly average demand in a year, influenced by weather and customer behavior. DSM programs and price signals (e.g., ELI 2P-RTP) have reduced peak demand growth. The 2009/2010 peak was 124 MW lower than 2004 due to conservation and interruptions. Forecasts show a 1.5% annual decline in net system peak by 2021, attributed to DSM and conservation efforts.
- 5 usually close, due to the peak often being driven by cold temperatures. 1 Load Forecast 2 Appendices 3 4 5 1 Appenaix A 2 3 2010 NSPI Forecast 4 5 Residential Sector Econometric Model Detail
AI summary The document discusses the residential sector econometric model detail, focusing on load forecasting and appendices. The peak load is influenced by cold temperatures, and the document includes appendices with load forecasts from 2010.
11 12 Note: This table portrays changes to individual variables only. In many cases, there are interdependencies that would require scenario development for more complete evaluation. 52 Nova Scotia Power Inc. 2011 Load Forecast
AI summary This table illustrates changes to individual variables in the 2011 Load Forecast by Nova Scotia Power Inc., noting that interdependencies require scenario development for a more complete evaluation.
Generation Replacement and Load Following 9 - This class is available to customers who have their own generation capacity of no less than 2,000 - 11 kW. As of December 2008, this class had three customers and represented about 0.1 percent...
AI summary This class requires customers with at least 2,000 kW generation capacity, currently having three customers (0.1% of NSPI sales) and forecasted to remain near 11 GWh annually. It's an interruptible load class.
Industrial energy sales are forecast using the same models and assumptions as described in the 2006 NSPI Load Forecast report. For the IRP forecast period beyond 2015 shown in the Load Forecast Report, the following assumptions have been m...
AI summary Industrial energy sales are forecast using models from the 2006 NSPI Load Forecast report. Economic data from the Conference Board of Canada is used up to 2025, and a 0.8% growth rate is applied to extend the forecast to 2029.
E-9(r)ENSC (Consumer Advocate) Responses to IR-1 to IR-27 (REVISED)
8 passages
New load forecasting methodology under development at NSPI A review of NSPI's load forecasting methodology in 2008 recognized that load forecasting could be enhanced with better integration of DSM savings by adopting an end-use model frame...
AI summary NSPI is updating its load forecasting methodology to incorporate a Statistically-Adjusted End-use (SAE) model, which will improve the integration of Demand Side Management (DSM) savings and provide more detailed analysis of end-use types and efficiency trends.
Generation Replacement and Load Following - This class is available to customers who have their own generation capacity of no less than 2,000 - 33 kW. As of December 2010, this class had three customers and represented about 0.1 percent of...
AI summary The document outlines customer classes and rate structures offered by NSPI, including ELI 2P-RTP and 1P-RTP, which incentivize load adjustment and off-peak energy use. It details sales data, interruptible load forecasts, and transmission/distribution loss percentages (3% and 5.5%, respectively). The Mersey System Agreement is highlighted for a specific industrial customer.
Peak Demand 13 14 15 16 17 The total system peak is defined as the highest single hourly average demand experienced in a year. It includes both firm and interruptible loads and due to the weather-sensitive load component in Nova Scotia, th...
AI summary The document defines total system peak demand as the highest hourly average demand in a year, influenced by weather and customer behavior. It notes that NSPI and ELI-2P-RTP customers can reduce peak loads through interruptions or price responses. Historical data shows a 2009/2010 peak of 2,114 MW, lower than the 2004 peak. Forecasting methods use load factors and DSM programs, projecting a 1.5% annual decline in peak demand by 2021 due to conservation efforts.
11 12 Note: This table portrays changes to individual variables only. In many cases, there are interdependencies that would require scenario development for more complete evaluation. 52 Nova Scotia Power Inc. 2011 Load Forecast
AI summary The text discusses a load forecast from Nova Scotia Power Inc. in 2011, highlighting that the table only shows changes to individual variables and does not account for interdependencies, which would require scenario development for a more complete evaluation.
2009 Load Forecast Prepared March 2009
AI summary The 2009 Load Forecast, prepared in March 2009, outlines energy demand projections for Nova Scotia. It references various economic and weather factors influencing load, including GDP, HDD, and consumer spending metrics.
Nova Scotia Power Inc. 23 2009 Load Forecast T T , 1 • I /nm etered 10 アリオアのぐ Citiii icici cu $\mathcal{L}$ VICES - 3 This class is comprised of street and area lighting, as well as miscellaneous lighting and small
AI summary This document appears to be a section of a regulatory proceeding related to Nova Scotia Power Inc.'s 2009 load forecast, though the content is incomplete and contains non-English characters and formatting issues.
- 32 who currently take non-firm service are expected to continue on the rate and therefore non-firm 1 coincident peak is forecast to grow only moderately from its current level assuming there are no 2 major changes made to the rate's avai...
AI summary The text discusses the forecast of coincident and non-coincident firm peak demand, noting that non-firm customers are expected to continue on the current rate. It explains how Total Coincident Firm Peak is used for planning purposes and highlights the relationship between non-coincident and coincident firm peaks, especially during winter months.
Industrial energy sales are forecast using the same models and assumptions as described in the 2006 NSPI Load Forecast report. For the IRP forecast period beyond 2015 shown in the Load Forecast Report, the following assumptions have been m...
AI summary Industrial energy sales are forecast using models from the 2006 NSPI Load Forecast report. The forecast assumes an economic growth rate of 0.8% for industrial loads from 2025 to 2029, extending the original forecast period beyond 2015. Table 3 provides the annual load forecast and growth rates up to 2029.