An Investigation of the Low Performance of the First Wind Farm in Thailand: A Case of Poor Wind Turbine-Site Matching

Abstract:

This research investigates causes of the low performance of the first commercial wind farm in Thailand. The measured data suggests that this wind farm is uncompetitive. We found that this is due to poor turbine-site matching. In contrary to a traditionally held belief, the hub-height and turbine capacity are not the contributing factors. Key performance indicators are obtained for use as benchmarks in future wind farm appraisal. Then a turbine selection method is proposed to increase the capacity factor (CF) of the wind farm. CF is used as the main performance indicator, which can be compared to other wind farms. The real capacity factor (CF_R) determined using measured data is 14.90%. This CF_R is considerably lower than the estimated capacity factor (CF_E) of 21.53%. The low CF_R is due to grid instability. In addition, the CF_R is lower than the CF_E by a factor of 0.69. This information is valuable to investors and wind farm developers in a wind farm feasibility study. A graphical wind turbine-site matching is proposed. Wind turbine-site matching is achieved by using normalised power output plots and power density plots on a probability density graph of the wind site. This process consumes a short period of time. An improved turbine-site matching is achieved.

• Periodical: Advanced Materials Research (Volumes 724-725)
• Pages: 469-475
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.724-725.469
• Online since: August 2013
• Authors: Akraphon Janon, Tanakorn Wongwuttanasatian, Gumphol Faikaow, Panumas Srinor
• Keywords: Capacity Factor, Commercial Wind Farm, Normalised Power Output, Power Density

References

[1] T. Burton, D. Sharpe, N. Jenkins, E. Bossanyi: Wind Energy Handbook, John Wiley & Sons, West Sussex, England (2001).

[2] S. Senngam, K. Thongnoo: A Study of Wind ResourceMicrositing:Lam Thakong, Ao Phaileam and Laem Promthep. thesis, Faculty of Engineering, Prince of Songkla University (2008).

[3] Information on http://www.egat.co.th/wwwthai/images/storiesinterest/ articles/lumtakong_wind.pdf

[4] Fellow Engineers Consultant: The Wind Resource Assessment of Thailand, Department of Alternative Energy Development and Efficiency (DEDP), Thailand (2001).

[5] J. Waewsak, T. Thapya, N. Nankongnap, N. Matan, M Manhi, Y. Tirawanichkul, S. Tirawanichkul: Assessment of Micrositing Wind Energy Potential Along the Coasts of Southern Thailand. thesis, Thaksin University, Prince of Songkla University and Walailak University (2007).

[6] K. Thomsen, P. Funglsang, G. Schepers: J Sol Energy Eng Vol. 123 (2001), pp.304-9

[7] N. Conroy, J. Deane, P. Ó Gallachóir: Renewable Energy Vol. 36 (2011), pp.2967-71

[8] M. Patel: Wind and solar power systems, CRC Press, New York (1999).

[9] R. Gelman: 2009 Renewable Energy Data Book, National Renewable Energy Laboratory, U.S. Department of Energy (2010).

[10] S. Hu, J. Cheng: Renewable Energy Vol. 32 (2007), pp.1934-47

[11] K. Xie, R. Billinton: Renewable Energy Vol. 36 (2011), pp.1983-88

[12] F. Amara, M. Elamouria, R. Dhifaoui: Renewable Energy Vol. 33 (2008), pp.2311-21

[13] N.J. Cutler, H.R. Outhred, I.F. MacGill: Wind Energy Vol. 15 (2011), pp.245-58

[14] D. Elliott, C. Holladay, W. Barchet, H. Foote, W. Sandusky: Wind Energy Resource Atlas of the United States. Information on http://rredc.nrel.gov/wind/pubs/atlas/tables/1-1T.html.