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Wind Energy Analysis in the Coastal Region of Bangladesh

Environmental Assessment and Technology for Hazardous Waste Management Research Center, Faculty of Environmental Management, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand
Department of Mechanical and Mechatronics Engineering, Faculty of Engineering, Prince of Songkla University, Hat Yai, Songkhla 90112, Thailand
Solar and wind Energy Research Laboratory, Thaksin University, Phatthalung 93110, Thailand
Geo-Informatics and Space Technology Development Agency (GISTDA), Chonburi 20230, Thailand
Faculty of Business Administration, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, Thailand
Authors to whom correspondence should be addressed.
Academic Editor: Fausto Pedro García Márquez
Energies 2021, 14(18), 5628;
Received: 17 July 2021 / Revised: 27 August 2021 / Accepted: 31 August 2021 / Published: 7 September 2021
(This article belongs to the Special Issue Advanced Analytics in Renewable Energy)
Diversifying the energy mix of Bangladesh is becoming indispensable not only to improve its energy security, but also for a more sustainable economic development. This study focused on mapping the wind potential of southern coastal areas of Bangladesh to estimate the wind energy potential, along with the reduction in carbon emissions due to wind energy. Analysis of the carbon footprint was based on the annual energy production (AEP) from the selected low-wind turbine generators (WTGs). The time series-measured and -predicted wind data were incorporated with the high-resolution mesoscale and microscale wind re-source mapping technique at 60, 80, and 100 m above ground level (AGL). Coupling mesoscale and microscale modeling provided reliable mapping results for the commercially exploitable wind resource and was verified by ground-based wind measurement. The results revealed that, among the selected areas, two sites named Charfashion and Monpura have a promising annual mean wind speed of 7.3 m/s at 100 m AGL for energy generation. Different WTGs with ranges of 1–3.3 MW were used to estimate the wind energy generation capacity at different sites in the study area. A WTG with a 1 MW wind energy generation capacity installed at 60 m AGL in the selected site has the potential to produce 2.79 GWh/year of clean energy, reducing 1781.689 tons of CO2 per year, whereas a 3.3 MW WTG at 80 m AGL can produce 18.99 GWh/year of energy, reducing 12,098.54 tons of CO2 per year, and a 1.6 MW WTG at 100 m AGL produces 11.04 GWh/year of energy, cutting 7035.028 tons of CO2 per year. With its reliable scientific and time-tested wind energy estimation method, this research is very important for the development of wind energy in the southern coastal areas of Bangladesh to meet the increasing energy demands through initiating the development of renewable energy to improve the energy security and reduce the carbon emissions of the country. View Full-Text
Keywords: wind energy; wind resource atlas; statistical analysis; carbon footprint wind energy; wind resource atlas; statistical analysis; carbon footprint
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MDPI and ACS Style

Islam, K.D.; Theppaya, T.; Ali, F.; Waewsak, J.; Suepa, T.; Taweekun, J.; Titseesang, T.; Techato, K. Wind Energy Analysis in the Coastal Region of Bangladesh. Energies 2021, 14, 5628.

AMA Style

Islam KD, Theppaya T, Ali F, Waewsak J, Suepa T, Taweekun J, Titseesang T, Techato K. Wind Energy Analysis in the Coastal Region of Bangladesh. Energies. 2021; 14(18):5628.

Chicago/Turabian Style

Islam, Khandaker D., Thanansak Theppaya, Fida Ali, Jompob Waewsak, Tanita Suepa, Juntakan Taweekun, Teerawet Titseesang, and Kuaanan Techato. 2021. "Wind Energy Analysis in the Coastal Region of Bangladesh" Energies 14, no. 18: 5628.

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