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Title: Uncertainty in benefit cost analysis of smart grid demonstration-projects in the U.S., China, and Italy

Abstract

Given the substantial investments required, there has been keen interest in conducting benefits analysis, i.e., quantifying, and often monetizing, the performance of smart grid technologies. In this study, we compare two different approaches; (1) Electric Power Research Institute (EPRI)’s benefits analysis method and its adaptation to the European contexts by the European Commission, Joint Research Centre (JRC), and (2) the Analytic Hierarchy Process (AHP) and fuzzy logic decision making method. These are applied to three case demonstration projects executed in three different countries; the U.S., China, and Italy, considering uncertainty in each case. This work is conducted under the U.S. (United States)-China Climate Change Working Group, smart grid, with an additional major contribution by the European Commission. The following is a brief description of the three demonstration projects.

Authors:
 [1];  [2];  [3];  [2];  [3];  [1]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  2. European Commission, Ispra (Italy). Joint Research Centre
  3. State Grid Corp. of China, Beijing (China)
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Electricity Delivery and Energy Reliability (OE)
OSTI Identifier:
1440966
DOE Contract Number:  
AC02-05CH11231
Resource Type:
Conference
Resource Relation:
Conference: 39. IAEE International Conference, Bergen (Norway), 19-22 Jun 2016
Country of Publication:
United States
Language:
English
Subject:
29 ENERGY PLANNING, POLICY, AND ECONOMY; 24 POWER TRANSMISSION AND DISTRIBUTION

Citation Formats

Karali, Nihan, Flego, Gianluca, Yu, Jiancheng, Vitello, Silvia, Zhang, D, and Marnay, Chris. Uncertainty in benefit cost analysis of smart grid demonstration-projects in the U.S., China, and Italy. United States: N. p., 2018. Web.
Karali, Nihan, Flego, Gianluca, Yu, Jiancheng, Vitello, Silvia, Zhang, D, & Marnay, Chris. Uncertainty in benefit cost analysis of smart grid demonstration-projects in the U.S., China, and Italy. United States.
Karali, Nihan, Flego, Gianluca, Yu, Jiancheng, Vitello, Silvia, Zhang, D, and Marnay, Chris. Mon . "Uncertainty in benefit cost analysis of smart grid demonstration-projects in the U.S., China, and Italy". United States. doi:. https://www.osti.gov/servlets/purl/1440966.
@article{osti_1440966,
title = {Uncertainty in benefit cost analysis of smart grid demonstration-projects in the U.S., China, and Italy},
author = {Karali, Nihan and Flego, Gianluca and Yu, Jiancheng and Vitello, Silvia and Zhang, D and Marnay, Chris},
abstractNote = {Given the substantial investments required, there has been keen interest in conducting benefits analysis, i.e., quantifying, and often monetizing, the performance of smart grid technologies. In this study, we compare two different approaches; (1) Electric Power Research Institute (EPRI)’s benefits analysis method and its adaptation to the European contexts by the European Commission, Joint Research Centre (JRC), and (2) the Analytic Hierarchy Process (AHP) and fuzzy logic decision making method. These are applied to three case demonstration projects executed in three different countries; the U.S., China, and Italy, considering uncertainty in each case. This work is conducted under the U.S. (United States)-China Climate Change Working Group, smart grid, with an additional major contribution by the European Commission. The following is a brief description of the three demonstration projects.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jun 04 00:00:00 EDT 2018},
month = {Mon Jun 04 00:00:00 EDT 2018}
}

Conference:
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