Topic:"Cost Effectiveness" in M04265

demand/supply optimization, and detailed analysis. The process can be likened to a funnel, as depicted in Figure OVERVIEW LF A-1. The LFA Module plays an important role in each of these stages. Screening of DSM programs is accomplished thr...

AI summary The text describes the process of screening and optimizing demand-side management (DSM) programs using various modules and tools, including the LFA Module, DSVIEW, GAF Module, and PROVIEW. These tools evaluate DSM programs based on cost-effectiveness measures and integrate them with supply-side options for optimal resource planning.

DSVIEW DSM Cost Effectiveness Module The DSVIEW-DCE Module is a detailed demand-side management screening model that analyzes the impact of individual DSM programs from a variety of perspectives. DSVIEW-DCE permits screening of DSM program...

AI summary The DSVIEW-DCE Module is a detailed demand-side management screening model that evaluates DSM programs using various cost-effectiveness measures. It allows for the inclusion of consumer value changes and integrates with other modules like LFA and GAF to analyze load impacts and calculate marginal capacity benefits. The module supports user-defined weighting schemes to rank programs based on composite effectiveness measures.

DSVIEW-DCE Module Methodology Existing utility system demand conditions are modeled in the LF A Module and existing system supply conditions are modeled either in the GAF Module or directly input as a set of marginal cost tables. These tab...

AI summary The DSVIEW-DCE Module Methodology outlines the process for modeling demand-side management (DSM) alternatives by evaluating load impacts, program costs, and benefit/cost ratios. It allows for flexible input representations of utility and customer costs, and calculates rankings based on cost-effectiveness measures.

ng on-peak hours and a declining block rate 22 during off-peak periods. However, the size of the first block ensures that most 23 customers receive only the marginal-cost-based rate as a price signal. 1 Bowman evaluates the cost-effectiven...

AI summary The document discusses the evaluation of TOU rate structures and their cost-effectiveness, emphasizing that the primary goal of TOU rates is to improve price signal efficiency rather than serve as a demand-side management program. It critiques the use of avoided costs for evaluating TOU rates due to mismatched assumptions.

and Communications Workshop, Marco Island, Florida, September 1988. - "Marginal Cost for Transmission Line Access." American Public Power Association Rates and Finance seminar, Austin, October 1988. - "Successful Service Providers (Rate Ca...

AI summary The text lists a series of presentations and seminars on topics such as rate design, utility services, and resource planning, primarily presented between 1987 and 1988 by John H. Chamberlin. These events were hosted by various organizations including the American Public Power Association, Pacific Gas and Electric Company, and the International Association of Energy Economists.

DR. CHAMBERLIN, CROSS-EXAM. BY MR. CAMPBELL 2794 of load shifting, whether it's none, or a lot. there I agree that I'm making an assumption in my testimony, that that the rates themselves are cost effective; that is, the efficiency gains a...

AI summary Dr. Chamberlin discusses the cost-effectiveness of load shifting and efficiency gains, noting that increased off-peak usage can be beneficial and may offset meter costs. He also comments on the use of cost/benefit analysis in evaluating reconciliation methods, arguing against its use in this context.

Economic Impact The impact of gas on coal production illustrated in Fig. V-2 would result in the loss of a small number of jobs for about two years. As long as CBDC is able to sell coal over and above the contract minimum to NSPI at compet...

AI summary The economic impact of gas on coal production is temporary, with a small job loss over two years. If gas is used for electricity generation beyond Stora, it could reduce coal demand and extend job loss. However, without specific data on new gas-fired capacity, the full impact cannot be estimated.