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<p>Addressing climate change and fossil fuel depletion necessitates the optimal selection of sites for solar–wind hybrid renewable energy systems (SWHRES) to ensure sustainable clean energy. This study identifies the most suitable location for installing an SWHRES in Lampung Province, Indonesia, utilizing a hybrid geographical information system (GIS) model that integrates the technique for order of preference by similarity to ideal solution (TOPSIS) and simple additive weighting (SAW) methods. The analysis is conducted using GIS-based multi-criteria decision-making (MCDM), overlaying nine criteria: solar radiation, wind speed, slope, distance to roads, distance to transmission lines, distance to settlements, elevation, land use, and temperature. Data sources include Solargis, the Global Wind Atlas, the Indonesian Geospatial Information Agency, OpenStreetMap, and regional geoportals. The study identifies five potential sites, with the highest-ranked location (A3) having an average solar radiation of 4.58 kWh/m<sup>2</sup>/day, a wind speed of 4.02&#xa0;m/s, and a 320&#xa0;m distance from the nearest road, making it the most favorable site for SWHRES implementation. Sensitivity analysis with weight variations of ± 20% and ± 40% confirms the robustness of the decision, as the ranking order remains stable. The findings demonstrate that integrating GIS with TOPSIS and SAW enhances decision-making accuracy in site selection by effectively processing diverse spatial and technical data. This study provides crucial insights for policymakers in optimizing Indonesia’s renewable energy infrastructure.</p>

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Smart Decision-Making with GIS: Advanced Multi-Criteria Analysis for Solar–Wind Hybrid Renewable Energy Systems

  • 期刊论文

  • 发表日期：

    2025年5月20日

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  • Ade Gafar Abdullah,
  • Muhammad Aziz,
  • Agil Chairulloh

摘要

Addressing climate change and fossil fuel depletion necessitates the optimal selection of sites for solar–wind hybrid renewable energy systems (SWHRES) to ensure sustainable clean energy. This study identifies the most suitable location for installing an SWHRES in Lampung Province, Indonesia, utilizing a hybrid geographical information system (GIS) model that integrates the technique for order of preference by similarity to ideal solution (TOPSIS) and simple additive weighting (SAW) methods. The analysis is conducted using GIS-based multi-criteria decision-making (MCDM), overlaying nine criteria: solar radiation, wind speed, slope, distance to roads, distance to transmission lines, distance to settlements, elevation, land use, and temperature. Data sources include Solargis, the Global Wind Atlas, the Indonesian Geospatial Information Agency, OpenStreetMap, and regional geoportals. The study identifies five potential sites, with the highest-ranked location (A3) having an average solar radiation of 4.58 kWh/m2/day, a wind speed of 4.02 m/s, and a 320 m distance from the nearest road, making it the most favorable site for SWHRES implementation. Sensitivity analysis with weight variations of ± 20% and ± 40% confirms the robustness of the decision, as the ranking order remains stable. The findings demonstrate that integrating GIS with TOPSIS and SAW enhances decision-making accuracy in site selection by effectively processing diverse spatial and technical data. This study provides crucial insights for policymakers in optimizing Indonesia’s renewable energy infrastructure.