Practice Summaries: An Optimization Model to Support Renewable Energy Investment Decisions

Srinivas Bollapragada (), Brandon Owens () and Steve Taub ()
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Srinivas Bollapragada: General Electric Global Research Center, Niskayuna, New York 12309
Brandon Owens: General Electric Energy, Arvada, Colorado 80007
Steve Taub: General Electric Energy Financial Services, Boston, Massachusetts 02111

Interfaces, 2011, vol. 41, issue 4, 394-395

Abstract: A majority of states in the United States have instituted renewable portfolio standards (RPS), which require electric service providers to meet a portion of their demand using renewable energy resources. These requirements, along with state and federal incentives, are the main drivers for the construction of utility-scale renewable energy plants in the United States. In order to help understand the implications of the state RPS system for future renewable energy investments, we developed an analytical tool that General Electric Company uses to better price its renewable energy deals and forecast market demand for its renewable energy products.

Keywords: suboptimal algorithms; forecasting; energy policies; government; decision support systems; information systems; energy; natural resources (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:inm:orinte:v:41:y:2011:i:4:p:394-395

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