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Critical evaluation of methods for wind-power appraisal

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  • Voorspools, Kris R.
  • D'haeseleer, William D.

Abstract

In the literature, several methods are being used to evaluate the contribution of wind energy conversion systems in a broader power-generating system. However, not all of them guarantee accurate results. This paper critically reviews several methods used in the literature for such reliability evaluations. There are three types of methods characterised by the details considered and the simplifications made: (1) methods using complete chronological data; measured or calculated; (2) methods using a truncated set of chronological data and (3) methods disregarding the chronology all together. In order to test the different possible simplifications, we calculate a case study for a potential wind farm. The result of the full chronological calculation is used as a benchmark to which the results of the simplified methods can be verified. The truncated method is found to be reliable when more than the top 25% chronological values are used. The methods in which the chronology is disregarded were not found accurate because of the significant correlation between consecutive wind-speed measurements embedded in the chronological data. We therefore conclude that the most accurate results are obtained when the full chronology of both the wind-power output and the power-generation requirement are used. Most simplifications considered with the aim to limit the amount of data needed and thus to save computation time and data-gathering effort are not really justified.

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  • Voorspools, Kris R. & D'haeseleer, William D., 2007. "Critical evaluation of methods for wind-power appraisal," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(1), pages 78-97, January.
  • Handle: RePEc:eee:rensus:v:11:y:2007:i:1:p:78-97
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    1. El-Sayed, Mohamed A. H., 2002. "Substitution potential of wind energy in Egypt," Energy Policy, Elsevier, vol. 30(8), pages 681-687, June.
    2. Brower, Michael C. & Tennis, Michael W., 1995. "Catching a steady breeze: Putting wind power to work on electric utility systems," The Electricity Journal, Elsevier, vol. 8(2), pages 32-41, March.
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    3. Coker, Phil & Barlow, Janet & Cockerill, Tim & Shipworth, David, 2013. "Measuring significant variability characteristics: An assessment of three UK renewables," Renewable Energy, Elsevier, vol. 53(C), pages 111-120.
    4. Joselin Herbert, G.M. & Iniyan, S. & Amutha, D., 2014. "A review of technical issues on the development of wind farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 619-641.
    5. Russell McKenna & Stefan Pfenninger & Heidi Heinrichs & Johannes Schmidt & Iain Staffell & Katharina Gruber & Andrea N. Hahmann & Malte Jansen & Michael Klingler & Natascha Landwehr & Xiaoli Guo Lars', 2021. "Reviewing methods and assumptions for high-resolution large-scale onshore wind energy potential assessments," Papers 2103.09781, arXiv.org.
    6. McKenna, Russell & Pfenninger, Stefan & Heinrichs, Heidi & Schmidt, Johannes & Staffell, Iain & Bauer, Christian & Gruber, Katharina & Hahmann, Andrea N. & Jansen, Malte & Klingler, Michael & Landwehr, 2022. "High-resolution large-scale onshore wind energy assessments: A review of potential definitions, methodologies and future research needs," Renewable Energy, Elsevier, vol. 182(C), pages 659-684.
    7. Bhutto, Abdul Waheed & Bazmi, Aqeel Ahmed & Zahedi, Gholamreza, 2013. "Greener energy: Issues and challenges for Pakistan—wind power prospective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 519-538.
    8. Mabel, M. Carolin & Raj, R. Edwin & Fernandez, E., 2011. "Analysis on reliability aspects of wind power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 1210-1216, February.
    9. Gurgur, Cigdem Z. & Jones, Michael, 2010. "Capacity factor prediction and planning in the wind power generation industry," Renewable Energy, Elsevier, vol. 35(12), pages 2761-2766.
    10. Xydis, G. & Koroneos, C. & Loizidou, M., 2009. "Exergy analysis in a wind speed prognostic model as a wind farm sitting selection tool: A case study in Southern Greece," Applied Energy, Elsevier, vol. 86(11), pages 2411-2420, November.
    11. Sioshansi, Ramteen & Hurlbut, David, 2010. "Market protocols in ERCOT and their effect on wind generation," Energy Policy, Elsevier, vol. 38(7), pages 3192-3197, July.
    12. Haeseldonckx, Dries & D'haeseleer, William, 2008. "The environmental impact of decentralised generation in an overall system context," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(2), pages 437-454, February.

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