Redefinition power curve for more accurate performance assessment of wind farms
2000; Wiley; Volume: 3; Issue: 2 Linguagem: Inglês
10.1002/1099-1824(200004/06)3
ISSN1099-1824
AutoresS. Frandsen, I. Antoniou, J. C. Hansen, L. Kristensen, H. Aa. Madsen, B. Chaviaropoulos, D. Douvikas, J. A. Dahlberg, A. Derrick, P. Dunbabin, R. Hunter, R. Ruffle, D. Kanellopoulos, G. Kapsalis,
Tópico(s)Power Systems and Technologies
ResumoWind EnergyVolume 3, Issue 2 p. 81-111 Research ArticleFree to Read Redefinition power curve for more accurate performance assessment of wind farms S. Frandsen, Corresponding Author S. Frandsen Risø National Laboratory, DK-4000 Roskilde, DenmarkWind Energy and Atmospheric Physics Department, Risø National Laboratory, DK-4000 Roskilde, DenmarkSearch for more papers by this authorI. Antoniou, I. Antoniou Risø National Laboratory, DK-4000 Roskilde, DenmarkSearch for more papers by this authorJ. C. Hansen, J. C. Hansen Risø National Laboratory, DK-4000 Roskilde, DenmarkSearch for more papers by this authorL. Kristensen, L. Kristensen Risø National Laboratory, DK-4000 Roskilde, DenmarkSearch for more papers by this authorH. Aa. Madsen, H. Aa. Madsen Risø National Laboratory, DK-4000 Roskilde, DenmarkSearch for more papers by this authorB. Chaviaropoulos, B. Chaviaropoulos Centre for Renewable Energy Sources, 19th km Marathonos Avenue, GR-19009 Pikermi, GreeceSearch for more papers by this authorD. Douvikas, D. Douvikas Centre for Renewable Energy Sources, 19th km Marathonos Avenue, GR-19009 Pikermi, GreeceSearch for more papers by this authorJ. A. Dahlberg, J. A. Dahlberg Aeronautical Research Institute of Sweden, PO Box 11021, S-16111 Bromma, SwedenSearch for more papers by this authorA. Derrick, A. Derrick National Engineering Laboratory, Birniehill Roundabout, East Kilbride, Glasgow, G75 OQU, UKSearch for more papers by this authorP. Dunbabin, P. Dunbabin Renewable Energy Systems Ltd, Beaufort House, 23 Grosvenor Road, St Albans AL1 3AW, UKSearch for more papers by this authorR. Hunter, R. Hunter Renewable Energy Systems Ltd, Beaufort House, 23 Grosvenor Road, St Albans AL1 3AW, UKSearch for more papers by this authorR. Ruffle, R. Ruffle Renewable Energy Systems Ltd, Beaufort House, 23 Grosvenor Road, St Albans AL1 3AW, UKSearch for more papers by this authorD. Kanellopoulos, D. Kanellopoulos Public Power Corporation, Navarinou 10, GR-10680 Athens, GreeceSearch for more papers by this authorG. Kapsalis, G. Kapsalis Public Power Corporation, Navarinou 10, GR-10680 Athens, GreeceSearch for more papers by this author S. Frandsen, Corresponding Author S. Frandsen Risø National Laboratory, DK-4000 Roskilde, DenmarkWind Energy and Atmospheric Physics Department, Risø National Laboratory, DK-4000 Roskilde, DenmarkSearch for more papers by this authorI. Antoniou, I. Antoniou Risø National Laboratory, DK-4000 Roskilde, DenmarkSearch for more papers by this authorJ. C. Hansen, J. C. Hansen Risø National Laboratory, DK-4000 Roskilde, DenmarkSearch for more papers by this authorL. Kristensen, L. Kristensen Risø National Laboratory, DK-4000 Roskilde, DenmarkSearch for more papers by this authorH. Aa. Madsen, H. Aa. Madsen Risø National Laboratory, DK-4000 Roskilde, DenmarkSearch for more papers by this authorB. Chaviaropoulos, B. Chaviaropoulos Centre for Renewable Energy Sources, 19th km Marathonos Avenue, GR-19009 Pikermi, GreeceSearch for more papers by this authorD. Douvikas, D. Douvikas Centre for Renewable Energy Sources, 19th km Marathonos Avenue, GR-19009 Pikermi, GreeceSearch for more papers by this authorJ. A. Dahlberg, J. A. Dahlberg Aeronautical Research Institute of Sweden, PO Box 11021, S-16111 Bromma, SwedenSearch for more papers by this authorA. Derrick, A. Derrick National Engineering Laboratory, Birniehill Roundabout, East Kilbride, Glasgow, G75 OQU, UKSearch for more papers by this authorP. Dunbabin, P. Dunbabin Renewable Energy Systems Ltd, Beaufort House, 23 Grosvenor Road, St Albans AL1 3AW, UKSearch for more papers by this authorR. Hunter, R. Hunter Renewable Energy Systems Ltd, Beaufort House, 23 Grosvenor Road, St Albans AL1 3AW, UKSearch for more papers by this authorR. Ruffle, R. Ruffle Renewable Energy Systems Ltd, Beaufort House, 23 Grosvenor Road, St Albans AL1 3AW, UKSearch for more papers by this authorD. Kanellopoulos, D. Kanellopoulos Public Power Corporation, Navarinou 10, GR-10680 Athens, GreeceSearch for more papers by this authorG. Kapsalis, G. Kapsalis Public Power Corporation, Navarinou 10, GR-10680 Athens, GreeceSearch for more papers by this author First published: 10 April 2001 https://doi.org/10.1002/1099-1824(200004/06)3:2 3.0.CO;2-4Citations: 22AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat Abstract The lack of accurate methods for assessment of the productive capacity of wind power plants is becoming a bottleneck in an increasingly commercialized wind power industry. In this article the inherent components of performance assessment are identified and analysed and ways of minimizing uncertainties on the components are investigated. The main components are identified as 'site calibration', 'wind turbine sensitivity to flow variables', 'plant blockage effects' and 'uncertainty analysis'. Site calibration is the action of estimating the flow variables at the wind turbine position from measurements of these quantities at another (reference) position. The purpose of sensitivity analysis is to clarify which and how flow variables influence power output. Plant blockage effects refer to the power plant's influence on the reference measurements of flow variables. Finally, the component uncertainties and in turn the integrated uncertainty on the average productive capacity of the wind power plant are investigated. It is found that uncertainties can be reduced (1) by including several more flow variables in addition to hub-height wind speed, (2) by carrying out site calibration with utmost care and by inclusion of more variables, (3) by taking plant blockage into consideration, (4) by aiming at 'plant-average' power instead of looking only at individual machines and, possibly, (5) by introduction of remote-sensing anemometer techniques. Copyright © 2000 John Wiley & Sons, Ltd. REFERENCES 1 A Trenka, S Frandsen, BM Pedersen. (eds). Wind Turbine Testing And Evaluation: 1. Power Performance. IEA, 1979. Google Scholar 2 AWEA. Standard Performance Testing of Wind Energy Conversion Systems, American Wind Energy Association Standard AWEA 1·1, 1988. Google Scholar 3Curvers A, Pedersen TF. 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