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

Conference · Mon Jun 04 04:00:00 EDT 2018

OSTI ID:1440966

Karali, Nihan ^[1]; Flego, Gianluca ^[2]; Yu, Jiancheng ^[3]; Vitello, Silvia ^[2]; Zhang, D ^[3]; Marnay, Chris ^[1]

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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)

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.

• Research Organization: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
• Sponsoring Organization: USDOE Office of Electricity Delivery and Energy Reliability (OE)
• DOE Contract Number: AC02-05CH11231
• OSTI ID: 1440966
• Country of Publication: United States
• Language: English

Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
29 ENERGY PLANNING, POLICY, AND ECONOMY