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<p>In recent years, growing energy demands and the need for sustainable, renewable energy sources have underscored the importance of small hydropower plants (SHPs) as a feasible solution. This study presents a model-based approach for identifying and prioritizing suitable sites for SHP construction within a large watershed area, emphasizing investment opportunities for the private sector. Using Spatial Multi-Criteria Decision-Making (SMCDM) techniques, we integrate environmental, technical, economic, and social criteria to evaluate potential locations comprehensively. The resulting priority-based ranking facilitates targeted investment planning by highlighting sites with optimal energy generation potential and investment competitiveness. Our findings demonstrate the effectiveness of SMCDM in optimizing site selection, providing a strategic foundation for advancing clean energy initiatives with lower environmental impact. In total, 9 selected sites have been identified, with a combined installed capacity of 30.91&#xa0;MW. This installed capacity results in the production of 134 GWh of energy per year. Ultimately, this amount of energy produced by a renewable energy source will reduce 115,606 tons of carbon dioxide emissions, which helps mitigate the effects of climate change.</p>

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Site Selection and Investment Prioritization for Small Hydropower Plants Using Spatial Multi-Criteria Decision-Making Models

  • 期刊论文

  • 发表日期：

    2025年7月4日

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  • Mohammad Mazlomi Mochani,
  • Ali Moridi,
  • Mojtaba Dadkhah Tehrani,
  • Reza Khalili,
  • Ali Torabi Haghighi

摘要

In recent years, growing energy demands and the need for sustainable, renewable energy sources have underscored the importance of small hydropower plants (SHPs) as a feasible solution. This study presents a model-based approach for identifying and prioritizing suitable sites for SHP construction within a large watershed area, emphasizing investment opportunities for the private sector. Using Spatial Multi-Criteria Decision-Making (SMCDM) techniques, we integrate environmental, technical, economic, and social criteria to evaluate potential locations comprehensively. The resulting priority-based ranking facilitates targeted investment planning by highlighting sites with optimal energy generation potential and investment competitiveness. Our findings demonstrate the effectiveness of SMCDM in optimizing site selection, providing a strategic foundation for advancing clean energy initiatives with lower environmental impact. In total, 9 selected sites have been identified, with a combined installed capacity of 30.91 MW. This installed capacity results in the production of 134 GWh of energy per year. Ultimately, this amount of energy produced by a renewable energy source will reduce 115,606 tons of carbon dioxide emissions, which helps mitigate the effects of climate change.