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Wind  Energy Resources Potentials in Bangladesh :

 

In Bangladesh, some early studies on wind energy prospects were made by Professor Muhtasham Hussain of Dhaka University and his colleagues [Hussain et. al 1986], as well as some enthusiasts from Bangladesh University of Engineering and Technologies (BUET). The Bangladesh Meteorological department has wind speed measuring stations in towns and cities . Data from earlier measurements and analysis of upper air data by CWET India show that wind energy resource of Bangladesh is not good enough (>7 m/s) for grid connected wind parks [GEF 2001]. Wind data from Bangladesh Meteorological Department and different previous and ongoing wind resource assessment projects are briefly described in the subsequent sections. 

Following studies carried out for  assessment of   Wind Energy Resource in Bangladesh (Click Below):

  1. Wind Data From Bangladesh Meteorological Department

  2. Wind Energy Study Project (WEST)  

  3. TERNA Project

  4. Wind Energy Resource Mapping (WERM)

  5. Wind Resource Assessment of Bangladesh by the SWERA Project

  6. Wind Resource Assessment of the North-West Division of Bangladesh 

  7. Feasibility Study on R & D on Renewable Energy by IFRD

  8. Wind Speeds in the Saint Martin’s Island

  9. SSE for Wind Energy Resource Assessment

    10.

  10.  Monthly Analysis of Wind Speed at St.Martin,Teknaf,Cox's Bazar ( 2001)

  11.  Wind data analysis at St. Martins Island from April 1998 - March 99

  12.  Month hourly wind speed at St. Martins Island from Jan 2000 - December 2000

  13.  Month wise hourly wind speed at St. Martins Island

  14.  Approximate size of wind speed their annual mean speed and utilizations 

  15.  Wind Energy situation at St. Martins Island

  16.  Wind Resource Assessment of the North-West Division of Bangladesh

  17. 30 Years Wind data from Bangladesh Meteorological Department

  18. PROMOTION OF RENEWABLE ENERGY, ENERGY EFFICIENCY AND GREENHOUSE GAS ABATEMENT (PREGA)  in Bangladesh

Feasibility Study on R & D on Renewable Energy by IFRD                 

Recently a project on " Feasibility Study on R&D of Renewable Energy (Solar, Wind, Micro-Mini Hydro)" has been undertaken by the Institute of Fuel Research Development (IFRD), of Bangladesh Council of Scientific and Industrial Research (BCSIR). Under this program, wind speed data have been collected in the following sites:

  • Saint Martin

  • Teknaf

  • Meghnaghat

The maximum velocity obtained at St. Martins Island is 30 m/s and yearly average wind speed in 4.9 m/s. The maximum velocity obtained at Teknaf is 16 m/s and yearly average wind speed in 3.8 m/s.

Wind Speeds in the Saint Martin’s Island :                    

Available wind speeds in the Saint Martin’s Island are presented in the Table 3.7 below.

Monthly average wind speeds in the island [IFRD, 2002]
Month  Vav   (m/s) V max   (m/s)
January 5.08 23.32
February 4.71 19.78
March 4.29 18.94
April 3.58 20.03
May 5.75 26.30
June 5.96 29.80
July 5.33  24.20
August 5.96  20.40
September 4.79  17.70
October 4.17 15.90
November 3.79 14.50
December 4.08 15.20

SSE for Wind Energy Resource Assessment   :                      

SSE data set is formulated from NASA satellite- and reanalysis-derived wind energy data for the 10-yearperiod from July 1983 through June 1993. Results are provided for 1° latitude by 1° longitude grid cells over the globe. SSE provides –

  • satellite-derived wind energy parameters

  • monthly averaged from 10 years of data

  • data tables for a particular location

  • color plots on both global and regional scales

  • global solar energy data for 1195 ground sites

  • Estimated uncertainties of SSE data set for wind energy parameters are shown in Table below

Estimated uncertainty with SSE Wind Energy Data sets [SSE 2000]
Parameter

Global sites

RETScreen

Renewable sites

RETScreen
Surface Air Pressure (kPa) 3.6% 2.4%
Wind Speed (m/s) at 10 meter altitude 1.9 m/s 1.4 m/s

 

For comparing SSE data set for wind energy resource assessment, wind speed map of Bangladesh has been generated from SSE web site and analyzed which is shown in Figure 3.2. It can be seen from the Figure that SSE data set gives inland wind speed variation between 1 to 2 m/s and in the coastal regions between 2 to 4 m/s.