 Prediction of site specific wind energy value factorsMark Capellaro Renewable Energy, 2016, vol. 87, issue P1, 430-436 Abstract: This paper demonstrates a method to predict the value factor and market value of a wind turbine production. This will allow for the estimation of the economic viability of a turbine subject to pure market prices and also allow for prediction of the necessary financial support for turbines under subsidy schemes. The value factor is a common metric used to determine the value of variable energy sources. Research has shown that wind speed profiles that with a high value factor, or have a positive correlation with the market electricity price, have an economic advantage. However, previous research has determined overall value factors for wind in electricity networks at the macro level. This paper details a method at the micro level, since the wind conditions and therefore the value factor are themselves a site specific property. The data necessary to predict the value factor is the same as used to predict the energy production of the site. This allows for the prediction to be used before turbine installation and can be used as an optimization parameter for researchers and for turbine siting with regards to the electricity price/market. Keywords: Wind energy; Market value; Prediction method (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:87:y:2016:i:p1:p:430-436 DOI: 10.1016/j.renene.2015.10.019 Access Statistics for this article Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides More articles in Renewable Energy from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.