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Assessing Wind Farm Site Suitability in Bangladesh: A GIS-AHP Approach

Author

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  • Md Rabiul Islam

    (Institute of Water and Environment, Dhaka University of Engineering & Technology, Gazipur 1707, Bangladesh)

  • Md Rakibul Islam

    (Institute of Water and Environment, Dhaka University of Engineering & Technology, Gazipur 1707, Bangladesh)

  • Hosen M. Imran

    (Institute of Water and Environment, Dhaka University of Engineering & Technology, Gazipur 1707, Bangladesh)

Abstract

Wind energy is one of the most attractive renewable energy sources because of its low operating, maintenance, and production costs as well as its low environmental impact. The goal of this study is to discover the best locations in Bangladesh for wind farms to be built and operated efficiently. This study applied the Geographic Information System (GIS) and Analytical Hierarchy (AHP) methodologies to examine the eight important parameters upon which the suitability of locations is highly dependent. This analysis finds that Bangladesh has large regions appropriate for wind farm installation, with 3718.76 km 2 and 16,631.14 km 2 classified as being of “very high” and “high” suitability, respectively. It was also observed that wind speed, land slope, and elevation each had a height-weighted criterion of 32%, 27%, and 12%, respectively, when picking suitable locations. However, the overall viability of this study in identifying suitable sites has been evaluated based on ROC and AUC techniques and found satisfactory as per AUC value. The knowledge gained from this study will help the sustainable and renewable energy development authority (SREDA) of Bangladesh to expedite the renewable energy investment process and will ensure greater certainty in resource development. The findings of this research can be considered as baseline information for the wind energy sector.

Suggested Citation

  • Md Rabiul Islam & Md Rakibul Islam & Hosen M. Imran, 2022. "Assessing Wind Farm Site Suitability in Bangladesh: A GIS-AHP Approach," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:14819-:d:968476
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    References listed on IDEAS

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    2. Jerome G. Gacu & Junrey D. Garcia & Eddie G. Fetalvero & Merian P. Catajay-Mani & Cris Edward F. Monjardin & Christopher Power, 2024. "A Comprehensive Resource Assessment for Wind Power Generation on the Rural Island of Sibuyan, Philippines," Energies, MDPI, vol. 17(9), pages 1-21, April.
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    4. Ayan Pierre Abdi & Atilla Damci & Ozgur Kirca & Harun Turkoglu & David Arditi & Sevilay Demirkesen & Mustafa Korkmaz & Adil Enis Arslan, 2024. "A Spatial Decision-Support System for Wind Farm Site Selection in Djibouti," Sustainability, MDPI, vol. 16(22), pages 1-22, November.

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