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):Furthermore Bangladesh Renewable Energy Research Centre (RERC) has conducted solar and wind energy resource assessment through SWERA project. Output of the study has been illustrated in the following map.
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:
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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 –
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satellite-derived wind energy parameters
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monthly averaged from 10 years of data
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data tables for a particular location
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color plots on both global and regional scales
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global solar energy data for 1195 ground sites
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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.
