Efficiency of Wind Power Production and its Determinants

Simone Pieralli, Matthias Ritter and Martin Odening

No 205415, 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California from Agricultural and Applied Economics Association

Abstract: This article examines the efficiency of wind energy production. Using non-convex efficiency analysis, we quantify production losses for 19 wind turbines in four wind parks across Germany. In a second stage regression, we adapt the linear regression results of Kneip, Simar, and Wilson (2014) to explain electricity losses by means of a bias-corrected truncated regression analysis. The results show that electricity losses amount to 27% of the maximal producible electricity. Most of these losses are from changing wind conditions, while 6% are from turbine errors.

Keywords: Environmental Economics and Policy; Production Economics; Productivity Analysis; Research Methods/ Statistical Methods; Resource/Energy Economics and Policy (search for similar items in EconPapers)
Pages: 21
Date: 2015
New Economics Papers: this item is included in nep-eff, nep-ene, nep-eur and nep-reg
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
https://ageconsearch.umn.edu/record/205415/files/WINDenergysubAAEAsub.pdf (application/pdf)

Related works:
Journal Article: Efficiency of wind power production and its determinants (2015)
Working Paper: Efficiency of wind power production and its determinants (2015)
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:ags:aaea15:205415

DOI: 10.22004/ag.econ.205415

Access Statistics for this paper

More papers in 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().