Assessment of Commercial Wind Profiles for Bangladesh in Hotspots Determined by the UNEP

This paper predicts pragmatic turbine level profiles of wind power, the fastest growing source of renewable energy in the world, for zonal areas in the South Asian country of Bangladesh selected on the basis of global readings provided by the United Nations Environmental Programme (UNEP). Without focusing exclusively on the coastal belt according to tradition, hotspots (regions with high wind potential) uniformly located around the country are taken into consideration. Nine observation stations from three such hotspots in the country are documented with respect to statistics of wind speed, verticalpower law coefficients, wind power density distribution at different heights, extraction of energy factor, prominent direction distribution of wind, and approximation of weibull density functions over a ten year period using measured meteorological raw data. Profiles are projected for commercial turbine heights (~40-60m) and the available internationally accepted power classes for wind are identified at the stations to assess the true wind potential of Bangladesh.

Keywords:

Regime Prediction, Wind Power Density Distribution (DD) Weibull Distribution.,

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S. Khan, “The search for alternatives,'' in Star Weekend Magazine, vol. 8, Apr. 2009.
USAID Bangladesh, ``Facts about Energy'', Report on energy situation of Bangladesh, Available at: http://www.usaid.gov/bd/programs/energy.html.
Danish Wind Industry Associations, Statistics on global trends of wind power, Available at: http://www.windpower.org/en/knowledge/statistics/the\_ global\_market.html.
Renewable Energy Research Center (RERC), University of Dhaka, Solar and Wind Energy Resource Assessment (SWERA) - Bangladesh project, Feb. 2007.
S. Dey, ``Wind regime and wind power in the southern coastal islands of Bangladesh,'' Proc. International Conf. on Energy and Environment, pp. 83-87, Aug. 2006.
M. Islam, Q. Islam and M. Alam, ``Analysis of wind characteristics in Coastal Areas of Bangladesh,'' IEB J. of Mechanical Engineering, vol. 39, pp. 45-49, Jun. 2008.
UNEP Solar and Wind Energy Resource Assessment (SWERA) Project database, Available at: http://swera.unep.net/index.php?id=7.
N. Diwakar, et al., ``Prediction of wind power potential by wind speed probability distribution in a hilly terrain near Bhopal, Madhya Pradesh'', Int. J. of Emerging Tech., vol. 1, pp. 80-86, 2010.
A. Roy, ”Estimation of Wind Resources at Commercial Altitudes for United Nation Surveyed Inland And Coastal Regions of Bangladesh”, accepted in 9th International Conf. on Mechanical Engineering (ICME), Dec. 2011.
Touma, J.S., ``Dependence of the wind profile power law on stability for various locations'', J. of Air Pollution Control Association, Vol. 27, pp. 863-866, 1977.
A. Roy, ”Prediction of Wind Class and Weibull Regime at Turbine Elevation in Regional Gale Centers of Bangladesh”, under review in International Journal of Engineering and Applied Sciences, 2011.
T. Hughes, ``Oklahoma Windpower Tutorial Series,'' Environmental Verification and Analysis Center, University of Oklahoma, Nov. 2000.
L. Lin and Y. 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.
Lysen, E., ``Introduction to Wind Energy'', 2nd Edition, Consultancy Services Wind Energy Developing Countries, 1982.
S. Biswas, B. N. Sraedhar, Y. P. Singh, ``A Simplified Statistical Technique for Wind Turbine Energy Output Estimation'', Wind Engineering, Vol 19, No. 3, pp 147- 155.
C. Palese, L. Lassig, G. Cogliati and A. Bastanski, “Wind Regime and Wind Power in North Patagonia,Argentina”, Wind Engineering, Vol 24, No. 5, 2000, pp 361-377.
Official Website of Renewable Energy and Environmental Information Network (REEIN). [online]. Available: http://www.reein.org/.
Official Website of Bangladesh Power Development Board (BPDB). [online]. Available: http://www.bpdb.gov.bd/bpdb/index.php?option=com_co ntent&view=article&id=26&Itemid=24.