Reliable Estimation of Density Distribution in Potential Wind Power Sites of Bangladesh

Apratim Roy


This paper proposes techniques to reliably estimate density distribution (DD) of wind power in six test sites of Bangladesh selected by the UN showing potential for harnessing wind energy. Wind power profile rule (with
constant and variable power coefficients) and logarithmic variation of wind shear are applied to seven unique methods used in forecasting airstream energy density achievable in the country at commercial turbine axleheights
(30-120m). The problems related to fixating the power law coefficient in a site against environmental and geographic factors are identified while predicting wind profiles from data measured at low-altitude (~10m).
Relative deviation in density distribution forecasted by the techniques is calculated to identify that among the proposed methods, wind power rule with profile factors varying against altitude produces rates of inconsistency
lower than 3% over a turbine range of 40-90m and results obtained by a logarithmic method stays below 12% in the same range. Projected wind profiles in Bangladesh achieve a maximum power class level of four
and a power density coverage of 30-400 Watt/m2, sufficient for medium scale (above 20kW) grid-supported wind projects. This study intends to evaluate the potential of the concerned country for integrating stand-alone
wind-farms which could boost its struggling rural energy sector.


Density Distribution, Power Profile Rule, Wind Power Coefficient, Logarithmic Wind Profile, Consistency of Prediction.

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Xia Yang, Yonghua Song, Guanghui Wang, Weisheng Wang, ”A Comprehensive Review on the Development of Sustainable Energy Strategy and Implementation in China”, IEEE Transactions on Sustainable Energy, Vol. 1, No. 2, pp. 57-65, July 2010.

U. Bossel, ”On the way to a sustainable energy future,” in Proc. 27th Int. Telecommunications Conf., Sep. 2005, pp. 659-668.

J. Carrasco, L. Franquelo, J. Bialasiewicz, E. Galvan, R. Guisado, M. Prats, J. Leon, N. Moreno-Alfonso, ”Power-Electronic Systems for the Grid Integration of Renewable Energy Sources: A Survey”, IEEE Transactions on Industrial Electronics, Vol. 53, No. 4, pp. 1002-1016, June 2006.

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. 4, pp. 1958-1966, Nov. 2005.

L. Wenjing, W. Guiling and W. Qinghua, ”Shallow geothermal energy resources potential evaluation and environmental effect analysis in China,” in Proc. Int. Conf. on Materials for Renewable Energy & Environment, pp.1363-1367, May 2011.

Xu Zhenjun, ”Model and performance for direct supplying energy system by biogas,” in Proc. Int. Conf. on New Technology of Agricultural Engineering, pp.751-754, May 2011.

Renewable Energy Research Center, Univ. of Dhaka, ”Final report of Solar and Wind Energy Resource Assessment - Bangladesh project”, Dhaka, Feb. 2007.

Official Website of Bangladesh Power Development Board (BPDB) [Online]. Available:

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. 857-869.

D. J. Burke and M. J. OMalley, ”Factors Influencing Wind Energy Curtailment”, IEEE Transactions on Sustainable Energy, Vol. 2, No. 2, pp. 185-193, April 2011.

United Nations Environment Programme, Glabal Environment Facility, ”Country report of Bangladesh”, Feb. 2007, pp. 3.40-3.55.

European Wind Integration Study Final Report [Online]. Available:

B. Hasche, A. Keane, and M. J. OMalley, ”Capacity value of wind power, calculation and data requirements: The Irish power

system case,” IEEE Trans. Power Syst., vol. 26, no. 1, pp. 420-430, Feb. 2011.

R. Doherty, A. Mullane, G. Nolan, D. Burke, A. Bryson, and M. J. OMalley, ”An assessment of the impact of wind generation

on system frequency control,” IEEE Trans. Power Syst., vol. 25, no. 1, pp. 452-460, Feb. 2010.

D. Dolan, P. Lehn, ”Simulation model of wind turbine 3p torque oscillations due to wind shear and tower shadow,” IEEE Tran. Energy Conversion, vol.21, no.3, pp.717-724, Sept. 2006.

D. Stratton, R. Stengel, ”Robust Kalman filter design for predictive wind shear detection,” IEEE Tran. Aerospace and Electronic Systems, vol. 29, no. 4, pp.1185-1194, Oct 1993.

J. W. Taylor, P. E. Mcsharry, and R. Buizza, ”Wind Power Density Forecasting Using Ensemble Predictions and Time Series

Models,” IEEE Tran. On Energy Conversion, Vol. 24, No. 3, pp. 775-782, Sept. 2009.

S. Zhao, J. Zhao, G. Zhao, W. Zhang and Z. Guo, ”Effective Wind Power Density Prediction Based on Neural Networks,” in Proc. Int. Conf. on Multimedia Technology, pp.1-4, Oct. 2010.

T. Hughes, ”Oklahoma Windpower Tutorial Series,” Environmental Verification and Analysis Center, The University of Oklahoma, Nov. 2000.

S. Li, J. Yuan, H. Lipson, ”Ambient wind energy harvesting using cross-flow fluttering,” Journal of Applied Physics, vol. 109, no. 2, pp.026104-026104-3, Jan 2011.

Roland Stull, ”Meteorology for Scientists and Engineers”, 3rd Edition, Vancouver, Canada: Discount Textbooks, 2011.

Official Website of Bangladesh Meteorological Department (BMD) [online]. Available:

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.

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 Project database [Online], Available:

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.

C. Jutus, A. Mikhaili, ”Height Variation of Wind Speed and wind speed distribution statistics,” Geophysics Res. Letters, Vol. 3, Aug. 1976, pp. 261-264.

A. Roy, ”Consistency of Wind Profile Forecasting Techniques in the Atmospheric Surface Layer of Bangladesh”, submitted to

Journal of Enginnering Science and Technology, Dec. 2011.

S. A. Hsu, ”Estimating Overwater Friction Velocity and Exponent of Power-Law Wind Profile from Gust Factor during Storms,” Journal of Waterway, Port, Coastal and Ocean Engineering, Vol. 2, No. 1, Jan. 2011, pp. 97-105.

T. R. Oke, Boundary Layer Climates, 2nd Edition, UK: Routledge, Taylor-Francis E-Library, 2002.

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.

H. A. Panofsky and J. A. Dutton, Atmospheric turbulence: models and methods for engineering applications, New York: Wiley, 1984.

Roland Stull, Meteorology for Scientists and Engineers, 3rd Edition, Vancouver, Canada: Discount Textbooks, 2011.

Official Website of American Wind Energy Association (AWEA) [Online]. Available:


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