Designing an index for assessing wind energy potential

Matthias Ritter, Zhiwei Shen, Brenda López Cabrera, Martin Odening and Lars Deckert

No 2014-052, SFB 649 Discussion Papers from Humboldt University Berlin, Collaborative Research Center 649: Economic Risk

Abstract: To meet the increasing global demand for renewable energy such as wind energy, more and more new wind parks are installed worldwide. Finding a suitable location, however, requires a detailed and often costly analysis of the local wind conditions. Plain average wind speed maps cannot provide a precise forecast of wind power because of the non-linear relationship between wind speed and production. In this paper, we suggest a new approach of assessing the local wind energy potential: Meteorological reanalysis data are applied to obtain long-term low-scale wind speed data at turbine location and hub height; then, with actual high-frequency production data, the relation between wind data and energy production is determined via a five parameter logistic function. The resulting wind energy index allows for a turbine-specific estimation of the expected wind power at an unobserved location. A map of wind power potential for whole Germany exemplifies the approach.

Keywords: Wind power; energy production; renewable energy; onshore wind; MERRA (search for similar items in EconPapers)
JEL-codes: Q42 Q47 (search for similar items in EconPapers)
Date: 2014
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Journal Article: Designing an index for assessing wind energy potential (2015)
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:sfb649:sfb649dp2014-052

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