Shahjalal University of Science and Technology, Sylhet, Bangladesh.
North East University Bangladesh, Sylhet, Bangladesh.
Environ Sci Pollut Res Int. 2023 Aug;30(40):92332-92358. doi: 10.1007/s11356-023-28463-3. Epub 2023 Jul 24.
Bangladesh has a huge potential for utilizing renewable energy with the availability of sources for solar, wind, hydro, and biogas. This paper provides a comprehensive analysis of the potential for renewable energy sources and predicts optimal sites for renewable plant implementation in Bangladesh. A country-wise mapping approach is followed by validation of prediction using multi-criteria decision analysis (MCDA) known as the analytical hierarchy process (AHP) which will aid in the planning and execution of Bangladesh's upcoming expansion of renewable farms and will also be a useful tool for policymakers. Moreover, an economic analysis for 50 MW solar and wind power plant has been presented to estimate the levelized cost of electricity (LCoE) of the system and society. This work predicts the enormous potential for the expansion of renewable energy by assessing the appropriate future sites, economic viability, and provides several suggestions on the basis of the analysis from Bangladesh's perspective.
孟加拉国拥有利用太阳能、风能、水能和沼气等可再生能源的巨大潜力。本文对可再生能源的潜力进行了全面分析，并预测了孟加拉国可再生能源工厂的最佳选址。采用国家间映射方法，并使用多准则决策分析（MCDA）即层次分析法（AHP）进行预测验证，这将有助于规划和执行孟加拉国即将扩大的可再生农场，并为政策制定者提供有用的工具。此外，还提出了 50MW 太阳能和风能发电厂的经济分析，以估算系统和社会的平准化电力成本（LCoE）。这项工作通过评估适当的未来场址、经济可行性以及根据孟加拉国的分析提出了若干建议，预测了可再生能源的巨大扩展潜力。
