Derivation of Surface Roughness and Capacity Factor from Wind Shear Characteristics

Yıl 2012, Cilt: 2 Sayı: 2, 348 - 355, 01.06.2012

Apratim Roy

Öz

In this paper, a novel method to derive surface roughness for the location of a wind-turbine facility is explained. Employing measured and projected low altitude (~10-30m) meteorological data, wind shear coefficients are estimated for weather stations in Bangladesh with potential for harnessing wind energy. Diversely located geographical positions are covered from three national sectors on the basis of surveys conducted by the United Nations. Time-series (annual and monthly) variation of wind shear is exploited to produce a forecasting tool for wind profile at commercial turbine heights. Best estimates of average shear factors (in the range of 0.1 to 0.3) are obtained from probability distribution curves and by matching their profiles with forecasted wind curves, roughness length is determined for specific weather points. The findings (varying from 0.05 to 0.5) are used to derive range of obtainable capacity factors (18 to 37%) for medium-scale installed turbines. The proposed method is expected to provide accurate projections of logarithmic wind power law and achievable turbine efficiency in potential wind centers of Bangladesh.

Anahtar Kelimeler

Wind Shear; Profile Coefficient; Surface Roughness; Capacity Factor

Kaynakça

• D. Talbot, Lifeline for renewable power, Technol. Rev., vol. 112, no. 1, pp. 40-47, 2009.
• F. M. Hughes, O. Anaya-Lara, N. Jenkins, and G. Strbac, ”Control of DFIG-based wind generation for power network support,” IEEE Trans. Power Syst., vol. 20, no. , pp. 1958-1966, Nov. 2005.
• Danish Wind Industry Association Statistics, [online], Available:http://www.windpower.org/en/knowledge/stati stics/. Rod Frehlich, ”Measurements of Wind and Turbulence Profiles With Scanning Doppler Lidar for Wind Energy Applications”, IEEE Journal of Selected Topics in Applied Earth Observations And Remote Sensing, Vol. 1, No. 1, pp. 42-47, March 2008.
• E. A. Peterson, ”On the Estimates of Power Laws for Estimates of Wind Power Potential,” Journal of Applied Meteorology, Vol. 17, Oct. 1977, pp. 390-394.
• E. A. Peterson, ”A study of wind and temperature data from the 123m tower at Riso, Denmark,” Journal of Royal Meteorological Society, Vol. 102, 1975, pp. 857
• M. R. Milligan, Modelling utility-scale wind power plants. Part 1: Economics, Wind Energy, vol. 2, pp. , 1999. Official Website of Information and Environmental http://www.reein.org/ Network (REEIN):
• Official Website of Bangladesh Power Development Board http://www.bpdb.gov.bd/. Online]. Available: Official Website of Rural Electrification Board (REB), Bangladesh: http://www.reb.gov.bd/ Renewable Energy Research Center (RERC), University of Dhaka, Solar and Wind Energy Resource Assessment (SWERA) - Bangladesh project, Feb. 2007.
• A. Roy, ”Assessment of Commercial Wind Profiles for Bangladesh in Hotspots Determined by the UNEP”, International Jnl. of Renewable Energy Research, vol. 1, no. 4, pp. 290-297, Dec. 2011.
• G. B. Bonan, ”Land Surface Model for Ecological, Hydrological, Atmospheric Studies. Model product”, Tennessee, U.S.A: Oak Ridge National Laboratory Distributed Active Archive Center, 2005.
• J. Kabouris and C. D. Vournas, ”Application of interruptible contracts to increase wind power penetration in congested areas,” IEEE Trans. Power Syst., vol. 19, no. 3, pp. 1642-1649, Aug. 2004. UNEP Solar and Wind Energy Resource
• Assessment (SWERA) Project database, Available at: http://swera.unep.net/index.php?id=7. Official Website of Bangladesh Meteorological Department http://www.bmd.gov.bd/. online]. Available: J. S. Touma, Dependence of the wind profile power law on stability for various locations, Jnl. of Air Pollution Control Association, Vol. 27, pp. 863-866, 1977.
• N. Diwakar, S. Ganesan, S. Ahmed and V. K. Sethi, “Prediction of wind power potential by wind speed probability distribution in a hilly terrain near Bhopal, Madhya Pradesh”, Int. Jnl. of Emerging Tech., Vol. 1, pp. 86, 2010.
• T. R. Oke, Boundary Layer Climates, 2nd Edition, UK: Routledge, Taylor-Francis E-Library, 2002.
• Roland Stull, ”Meteorology for Scientists and Engineers”, 3rd Edition, Vancouver, Canada: Discount Textbooks, 2011.
• A. Roy, ”Reliable Estimation of Density Distribution in Potential Wind Power Sites of Bangladesh”, accepted in International Jnl. of Renewable Energy Research, Feb. 2012.
• C. Jutus, A. Mikhaili, ”Height Variation of Wind Speed and wind speed distribution statistics,” Geophysics Res. Letters, Vol. 3, Aug. 1976, pp. 261-264.
• Renewable Energy Research Laboratory, University of Massachusetts at Amherst, ”Wind Power: Capacity Factor, Intermittency, and what happens when the wind doesn’t blow?”, Available at: http://www.ceere.org/rerl/. M. Hasanuzzaman, J.K. Shaha, M. Morshed and R.C.Roy, ”Determination of Design Wind Speeds for Optimum Use of Wind Electric Generators at St. Martins Island”, Proc. of the International Conference on Renewable Energy for Rural Development, Jan 2002, pp 143.
• Thomas Ackermann, ”Wind Power in Power Systems”, Ed. John Wiley & Sons, 2005.
• Lu Lin and Yang Hongxing, ”Wind Data Analysis and a Case Study of Wind Power Generation in Hong Kong”, Wind Engineering, Vol 25, No. 2, 2001, pp 116
• Lysen, E. H., ”Introduction to Wind Energy”, 2nd Edition, CWD - Consultancy Services Wind Energy Developing Countries, 1982.
• SanjoyDey, ”Wind regime and wind power in the southern coastal islands of Bangladesh,” in Proc. Int. Conf. on Energy and Environment, Aug. 2006, pp. 83