P-2NSPI (UARB) IR-1 to IR-33; NSPI (Irving Oil) IR-1 to IR-7; NSPI (CBRM) IR-1 to IR-17 - Responses
7 passages
a) First application The Load Retention Rate applies to a contract during 12 consumption periods.
AI summary The Load Retention Rate is applicable to a contract over 12 consumption periods, indicating a structured approach to load management.
Application 172 This Subdivision applies to municipalities which apply the load Retention Rate set forth in Subdivision 1 to their large-power industrial customers. In the present Subdivision, ·municipality" designates a municipality which...
AI summary This Subdivision applies to municipalities that apply the load Retention Rate to their large-power industrial customers. It defines a 'municipality' as one that is a customer of Hydro-Quebec and operates its own distribution system.
General Capabilities - The module provides a comprehensive demand-side program evaluation capability, with inputs for program cost, load impact, timing, and capital costs. - Load impacts may be input chronologically for each program, or ma...
AI summary The LFA Module provides comprehensive capabilities for demand-side program evaluation, load impact analysis, and load shape data input. It supports detailed or aggregated data modeling, integrates with other modules like GAF and PROMOD, and allows flexible price response and reconciliation of electric price assumptions. The module supports various input formats and reporting by end-use, class, and company.
Module Methodology The LF A Module allows the user to create electric company load forecasts to be transferred. to the GAF Module for production costing purposes. The LF A processes the components of company load at a class and group level...
AI summary The LF A Module is used to create electric company load forecasts, which are transferred to the GAF Module for production costing. Load forecasts are developed at the class and group level, with seasonal load shapes represented by typical weekly profiles. The module also estimates demand-side program costs and customer costs for use in other modules.
Module Results The LF A Module produces the following repons. - Input Summary By Data Qualifier - Hourly Load Shape Report - System Report . - Class Sales - Class Requirements - Class Detail
AI summary The LF A Module generates several reports including an Input Summary By Data Qualifier, Hourly Load Shape Report, System Report, Class Sales, Class Requirements, and Class Detail.
Dispatch of Non-Thermal Resources System load data is passed in the form of a typical 168-hour weekly load shape to the GAF from the LF A Module. Then, the dispatch of non-thermal resources is performed in the following order: - 1. The tra...
AI summary The document outlines the process for dispatching non-thermal resources in energy systems, including the handling of load data, hydro generation, transactions, pumped storage hydro, and direct load control devices. After non-thermal resources are dispatched, thermal generating units serve the remaining load.
Please provide: a) the names of the utilities contacted; - b) copies of any correspondence between NSPI and these utilities respecting load retention rates; - c) copies of the terms of availability and conditions for load retention rates a...
AI summary The request asks for the names of contacted utilities, copies of correspondence between NSPI and these utilities regarding load retention rates, and the terms of availability and conditions for these rates.
P-3NSPI (Sempra) IR-1 to IR-14
5 passages
Senior Project Manager (1982 to 1985) Electric Power Research Institute Developed, managed, and coordinated projects related to demand-side planning, rate design, load forecasting, and customer behavior and response. Major projects include...
AI summary The text outlines the professional experience of an individual in the energy sector, focusing on roles in demand-side planning, rate design, load forecasting, and load management. It highlights projects related to forecasting software, load control experiments, and textbooks on marginal cost calculations.
Books :;,_ f "The Future of Integrated Resource Planning." Electric Utilities Moving into the 21st Century. Edited by Greg Enholm. 1994. Demand-Side Management: Concepts and Methods (2nd Edition). With Clark W. Gellings. Lilburn, GA.: Fair...
AI summary The text lists various publications and chapters related to electric utility management, focusing on demand-side management, rate design, and forecasting methods, with contributions by Clark W. Gellings and others. These works span from the 1980s to the 1990s and cover topics such as conservation, load forecasting, and integrated resource planning.
Futures Symposium, May 1987. - "Marginal Costing Methods and Developing a QF Pricing Strategy." California Municipal Utilities Marginal Cost Working Group, February 1987. John H. Chamberlin Page 12 "Moving Toward Integrated Resource Planni...
AI summary This document is a list of presentations and papers on energy planning, rate design, and forecasting methods from the late 1980s. Topics include integrated resource planning, demand-side management, load forecasting, and innovative rate design, presented by various organizations and individuals in the energy sector.
DR. CHAMBERLIN, CROSS-EXAM. BY MR. KEHOE 2767 in the U.S. there is a significantly increasing amount of production that's shifted from one facility to another throughout the country, throughout the U.S., in order to take advantage of diffe...
AI summary The discussion highlights concerns about electricity price differences influencing production shifts in the U.S., with examples like air separation companies moving operations to take advantage of lower prices. The witness raises questions about potential impacts on employment and capacity in Nova Scotia if such shifts occur.
RESPONSE TO INFORMATION REQUEST TO: SEMPRA ATLANTIC GAS INC. FROM: NSPI Response IR-5: (1) No. The 20% referred to in Mr. Whalen's evidence refers to percentage of customer load, and not to the number of customers. It has been used for ill...
AI summary NSPI responds to an information request regarding customer load retention, clarifying that the 20% and 10% figures mentioned are illustrative and not based on specific scenarios. No firm proposals for alternate supply options have been presented, and load retention rates would be determined on a case-by-case basis.