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<p>The international community is moving toward greater use of renewable energy to reduce the diverse impacts of greenhouse gases. Among various sources, wave energy represents a promising and predictable form of marine renewable energy with significant potential for sustainable power generation. This study presents an integrated framework for identifying optimal sites for wave energy converter deployment with an environmental impact assessment to locate the most appropriate site concerning technical and environmental approaches. Wave power was simulated using the DHI MIKE spectral wave model. The results were integrated into a GIS-based multi-criteria decision-making analysis that considered technical, economic, and environmental factors, including ecological features (e.g., mangrove forests, coral reefs, turtle nesting zones), water depth, proximity to shore, distance to ports, and oil and gas fields. This method was applied to the Persian Gulf and the Sea of Oman as a case study. The seasonal analysis revealed that mean wave energy potential peaks in the central part of the Persian Gulf during winter, reaching approximately 2.75&#xa0;kW/m. Additionally, among the evaluated locations, the areas surrounding Siri and Abu Musa Islands, with maximum wave powers of 49 and 41 kW/m, respectively, emerged as the most favorable sites. The chosen sites were identified based on their high wave energy potential as well as their suitability regarding technical, environmental, and economic factors revealed by the spatial overlay analysis.</p>

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Assessment of wave energy system deployment by integrating numerical modeling, multi-criteria decision-making, and environmental criteria aspects

  • 期刊论文

  • 发表日期：

    2026年6月24日

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  • M. Abbaspour,
  • M. Savaedi,
  • K. Shahverdi

摘要

The international community is moving toward greater use of renewable energy to reduce the diverse impacts of greenhouse gases. Among various sources, wave energy represents a promising and predictable form of marine renewable energy with significant potential for sustainable power generation. This study presents an integrated framework for identifying optimal sites for wave energy converter deployment with an environmental impact assessment to locate the most appropriate site concerning technical and environmental approaches. Wave power was simulated using the DHI MIKE spectral wave model. The results were integrated into a GIS-based multi-criteria decision-making analysis that considered technical, economic, and environmental factors, including ecological features (e.g., mangrove forests, coral reefs, turtle nesting zones), water depth, proximity to shore, distance to ports, and oil and gas fields. This method was applied to the Persian Gulf and the Sea of Oman as a case study. The seasonal analysis revealed that mean wave energy potential peaks in the central part of the Persian Gulf during winter, reaching approximately 2.75 kW/m. Additionally, among the evaluated locations, the areas surrounding Siri and Abu Musa Islands, with maximum wave powers of 49 and 41 kW/m, respectively, emerged as the most favorable sites. The chosen sites were identified based on their high wave energy potential as well as their suitability regarding technical, environmental, and economic factors revealed by the spatial overlay analysis.