Estimated Value Of Service Reliability For Electric Utility Customers In The United States
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Author | : Michael J. Sullivan |
Publisher | : |
Total Pages | : 98 |
Release | : 2009 |
Genre | : Electric power transmission |
ISBN | : |
Information on the value of reliable electricity service can be used to assess the economic efficiency of investments in generation, transmission and distribution systems, to strategically target investments to customer segments that receive the most benefit from system improvements, and to numerically quantify the risk associated with different operating, planning and investment strategies. This paper summarizes research designed to provide estimates of the value of service reliability for electricity customers in the US. These estimates were obtained by analyzing the results from 28 customer value of service reliability studies conducted by 10 major US electric utilities over the 16 year period from 1989 to 2005. Because these studies used nearly identical interruption cost estimation or willingness-to-pay/accept methods it was possible to integrate their results into a single meta-database describing the value of electric service reliability observed in all of them. Once the datasets from the various studies were combined, a two part regression model was used to estimate customer damage functions that can be generally applied to calculate customer interruption costs per event by season, time of day, day of week, and geographical regions within the US for industrial, commercial, and residential customers. Estimated interruption costs for different types of customers and of different duration are provided. Finally, additional research and development designed to expand the usefulness of this powerful database and analysis are suggested.
Author | : |
Publisher | : |
Total Pages | : 125 |
Release | : 2009 |
Genre | : |
ISBN | : |
Information on the value of reliable electricity service can be used to assess the economic efficiency of investments in generation, transmission and distribution systems, to strategically target investments to customer segments that receive the most benefit from system improvements, and to numerically quantify the risk associated with different operating, planning and investment strategies. This paper summarizes research designed to provide estimates of the value of service reliability for electricity customers in the US. These estimates were obtained by analyzing the results from 28 customer value of service reliability studies conducted by 10 major US electric utilities over the 16 year period from 1989 to 2005. Because these studies used nearly identical interruption cost estimation or willingness-to-pay/accept methods it was possible to integrate their results into a single meta-database describing the value of electric service reliability observed in all of them. Once the datasets from the various studies were combined, a two-part regression model was used to estimate customer damage functions that can be generally applied to calculate customer interruption costs per event by season, time of day, day of week, and geographical regions within the US for industrial, commercial, and residential customers. Estimated interruption costs for different types of customers and of different duration are provided. Finally, additional research and development designed to expand the usefulness of this powerful database and analysis are suggested.
Author | : |
Publisher | : |
Total Pages | : 51 |
Release | : 2015 |
Genre | : |
ISBN | : |
This report updates the 2009 meta-analysis that provides estimates of the value of service reliability for electricity customers in the United States (U.S.). The meta-dataset now includes 34 different datasets from surveys fielded by 10 different utility companies between 1989 and 2012. Because these studies used nearly identical interruption cost estimation or willingness-to-pay/accept methods, it was possible to integrate their results into a single meta-dataset describing the value of electric service reliability observed in all of them. Once the datasets from the various studies were combined, a two-part regression model was used to estimate customer damage functions that can be generally applied to calculate customer interruption costs per event by season, time of day, day of week, and geographical regions within the U.S. for industrial, commercial, and residential customers. This report focuses on the backwards stepwise selection process that was used to develop the final revised model for all customer classes. Across customer classes, the revised customer interruption cost model has improved significantly because it incorporates more data and does not include the many extraneous variables that were in the original specification from the 2009 meta-analysis. The backwards stepwise selection process led to a more parsimonious model that only included key variables, while still achieving comparable out-of-sample predictive performance. In turn, users of interruption cost estimation tools such as the Interruption Cost Estimate (ICE) Calculator will have less customer characteristics information to provide and the associated inputs page will be far less cumbersome. The upcoming new version of the ICE Calculator is anticipated to be released in 2015.
Author | : Emmanuel Martinez |
Publisher | : Nova Science Publishers |
Total Pages | : 0 |
Release | : 2013 |
Genre | : Electric power distribution |
ISBN | : 9781624171499 |
Since the 1960s, the U.S. electric power system has experienced a major blackout about once every 10 years. Each has been a vivid reminder of the importance society places on the continuous availability of electricity and has led to calls for changes to enhance reliability. At the root of these calls are judgements about what reliability is worth and how much should be paid to ensure it. In principle, comprehensive information on the actual reliability of the electric power system and on how proposed changes would affect reliability ought to help inform these judgements. Yet, comprehensive, national-scale information on the reliability of the U.S. electric power system is lacking. This book helps to address this gap by assessing trends in U.S. electricity reliability based on information reported by electric utilities on power interruptions experienced by their customers.
Author | : |
Publisher | : |
Total Pages | : |
Release | : 1978 |
Genre | : |
ISBN | : |
Electric-utility-system reliability criteria have traditionally been established as a matter of utility policy or through long-term engineering practice, generally with no supportive customer cost/benefit analysis as justification. This report presents results of an initial study of the customer perspective toward electric-utility-system reliability, based on critical review of over 20 previous and ongoing efforts to quantify the customer's value of reliable electric service. A possible structure of customer classifications is suggested as a reasonable level of disaggregation for further investigation of customer value, and these groups are characterized in terms of their electricity use patterns. The values that customers assign to reliability are discussed in terms of internal and external cost components. A list of options for effecting changes in customer service reliability is set forth, and some of the many policy issues that could alter customer-service reliability are identified.
Author | : Joseph Eto |
Publisher | : |
Total Pages | : 5 |
Release | : 2003 |
Genre | : |
ISBN | : |
A clear understanding of the monetary value that customers place on reliability and the factors that give rise to higher and lower values is an essential tool in determining investment in the grid. The recent National Transmission Grid Study recognizes the need for this information as one of growing importance for both public and private decision makers. In response, the U.S. Department of Energy has undertaken this study, as a first step toward addressing the current absence of consistent data needed to support better estimates of the economic value of electricity reliability. Twenty-four studies, conducted by eight electric utilities between 1989 and 2002 representing residential and commercial/industrial (small, medium and large) customer groups, were chosen for analysis. The studies cover virtually all of the Southeast, most of the western United States, including California, rural Washington and Oregon, and the Midwest south and east of Chicago. All variables were standardized to a consistent metric and dollar amounts were adjusted to the 2002 CPI. The data were then incorporated into a meta-database in which each outage scenario (e.g., the lost of electric service for one hour on a weekday summer afternoon) is treated as an independent case or record both to permit comparisons between outage characteristics and to increase the statistical power of analysis results. Unadjusted average outage costs and Tobit models that estimate customer damage functions are presented. The customer damage functions express customer outage costs for a given outage scenario and customer class as a function of location, time of day, consumption, and business type. One can use the damage functions to calculate outage costs for specific customer types. For example, using the customer damage functions, the cost experienced by an ''average'' customer resulting from a 1 hour summer afternoon outage is estimated to be approximately $3 for a residential customer, $1,200 for small-medium commercial and industrial customer, and $82,000 for large commercial and industrial customer. Future work to improve the quality and coverage of information on the value of electricity reliability to customers is described.
Author | : Emmanuel Martinez |
Publisher | : |
Total Pages | : 164 |
Release | : 2013 |
Genre | : BUSINESS & ECONOMICS |
ISBN | : 9781624171505 |
Since the 1960s, the U.S. electric power system has experienced a major blackout about once every 10 years. Each has been a vivid reminder of the importance society places on the continuous availability of electricity and has led to calls for changes to enhance reliability. At the root of these calls are judgments about what reliability is worth and how much should be paid to ensure it. In principle, comprehensive information on the actual reliability of the electric power system and on how proposed changes would affect reliability ought to help inform these judgments. Yet, comprehensive, national-scale information on the reliability of the U.S. electric power system is lacking. This book helps to address this gap by assessing trends in U.S. electricity reliability based on information reported by electric utilities on power interruptions experienced by their customers.
Author | : United States. Department of Energy. Office of Energy Emergency Operations |
Publisher | : |
Total Pages | : 20 |
Release | : 1981 |
Genre | : Electric power |
ISBN | : |
Author | : |
Publisher | : |
Total Pages | : 104 |
Release | : 1986 |
Genre | : Electric Utilities |
ISBN | : |
Author | : United States. Department of Energy. Office of Energy Emergency Operations |
Publisher | : |
Total Pages | : 152 |
Release | : 1981 |
Genre | : Electric power |
ISBN | : |