Directional and Time-Series Distribution of Projected Wind-Profiles Based on Low-Altitude Data

Yıl 2012, Cilt: 2 Sayı: 3, 388 - 396, 01.09.2012

Apratim Roy

Öz

This paper presents a direction-dependent time-series analysis of forecasted wind profiles for the South Asian country of Bangladesh on the basis of a survey conducted by the United Nations. Representative weatherstations are selected from regions of the country with a higher wind potential and directional wind-roses with Weibull density functions are established at a commercial turbine height. As measured data are available only at lower altitudes (10m), time-series distribution of directional profiles is projected for 40m to assess the suitability of specific time intervals for wind power extraction. To improve the accuracy of the estimation process, the effects of wind shear coefficient (power profile rule) and log profile parameters are considered on the vertical distribution of horizontal wind streams (reaching up to 12.5m/s for 40-120m axle heights and 15-80m rotor diameters). This study is intended to assist the evaluation of the prospects of grid-connected or stand-alone wind-turbines, supporting the renewable power sector of the country.

Anahtar Kelimeler

Directional Distribution; Time-Series Analysis; Wind Profile Projection

Kaynakça

• Sustainable Energy Project, United Nations Development Programme http://www.undp.org. Online]. Available: Renewable Energy and Environmental Information Network Bangladesh (REEIN) [Online]. Available: http://www.lged-rein.org. S. Ahmmed, M. Q. Islam, “Wind Power for Rural Areas of Bangladesh,” in Proc. 3rd Int. Conf. on Electrical & Computer Eng., pp. 192-197, Dec. 2004.
• T. Blackler, M. Iqbal, “Pre-feasibility Study of Wind Power Renewable Energy, Vol. 31, No. 4, April 2006, pp. 489
• Holyrood, Newfoundland.” M. A. Kabir, H. S. Dey, H. M. Faraby, “Microfinance: The Sustainable Financing System for Electrification and Socio-economic Development of Remote localities by Solar Home Systems (SHS) in Bangladesh”, in Proc. 4th Annual IEEE Systems Conference, pp. 82-84, April American Wind Energy Association [Online]. Available: http://www.awea.org/learnabout/publications/factsheets. E. Peterson, “On the Use of Power Laws for Estimates of Wind Power Potential,” Journal of Applied Meteorology, Vol. 17, Oct. 1977, pp. 390-394.
• E. Peterson, “A study of wind and temperature data from the 123 m tower at Riso, Denmark,” Journal of Royal Meteorological Society, Vol. 101, No. 427, Dec. 2006, pp. 107-117.
• D. Burke and M. O, Malley, “Factors Influencing Wind Energy Curtailment”, IEEE Transactions on Sustainable Energy, Vol. 2, No. 2, pp. 185-193, April 2011.
• M. N. Hoque, S. Nandi, H. R. Ghosh, “Wind resource assessment for southern part of Bangladesh”, Asian Jnl. on Energy and Environment, Vol. 11, No. 1, pp. 1-9, 2010.
• B. Peros, I. Boko, V. Divic, “Wind Shear Characteristics of Local Winds,” in Proc. 7th Asia-Pacific Conf. on Wind Engineering, pp. 1-8, Nov. 2009. UNEP Solar and Wind Energy Resource
• Assessment (SWERA) Project Database [Online]. Available: http://swera.unep.net. Official Website of Bangladesh Meteorological Department http://www.bmd.gov.bd. Online]. Available: W. Weibull, “A statistical distribution of wide applicability”, Journal of Applied Mechanics, Vol. 18, pp. 293-297, 1957.
• Lu Lin, Yang Hongxing, “Wind Data Analysis and a case Study of Wind Power Generation in Hong Kong”, Wind Engineering, Vol. 25, No. 2, 2001, pp. 116-123.
• S. Dey, “Wind regime and wind power in the southern coastal islands of Bangladesh,” in Proc. Int. Conf. on Energy and Environment, Aug. 2006, pp. 83-87.
• S. Biswas, B. N. Sraedhar, Y. P. Singh, “A Simplified Statistical Technique for Wind Turbine Energy Output Estimation”, Wind Engineering, Vol. 19, No. 33, 1995, pp 147-155.
• The British Wind Energy Association, “Wind Turbine Technology”, 1st Edition, London, UK, Sep. R. M. R. Kainkwa, “Wind speed pattern and the available wind power at Basotu, Tanzania”, Renewable Energy, Vol. 21, pp 289-295, 2000.
• Roland Stull, “Meteorology for Scientists and Engineers”, 3rd Edition, Vancouver, Canada: Discount Textbooks, 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 Centre, 2005.