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

Abstract

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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