Practice Summaries: An Optimization Model to Support Renewable Energy Investment Decisions
Srinivas Bollapragada (),
Brandon Owens () and
Steve Taub ()
Additional contact information
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
References: Add references at CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://dx.doi.org/10.1287/inte.1110.0560 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:orinte:v:41:y:2011:i:4:p:394-395
Access Statistics for this article
More articles in Interfaces from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().