ネパールにおける太陽エネルギー景観：地理空間マルチクライテリア意思決定分析を用いた太陽光発電の立地適性評価
Solar energy landscapes in Nepal: site suitability analysis of solar photovoltaics using a geospatial multi-criteria decision analysis (原題)
Manisha K. C., Geeta Bhatta, B. Awasthi, Timothy Anderson, Sunil Prasad Lohani
🤖 gxceed AI 要約
日本語
GISと多基準意思決定分析（AHP）を組み合わせ、ネパールにおける太陽光発電所の適地を評価した研究。気候・経済・地形・環境の各基準を用い、国土のわずか3%のみが適地で、タライ平野と丘陵地帯に集中することを示した。再生可能エネルギー導入政策が未整備な途上国における、根拠に基づく立地計画の分析基盤を提供する。
English
This study combines GIS with multi-criteria decision analysis and AHP to identify suitable sites for solar farms in Nepal, using climate, economic, topographic and environmental criteria. Only 3% of Nepal's land is suitable, concentrated in the Terai and hilly regions. It offers an evidence base for energy planners and policymakers in developing economies.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本企業にとって直接の規制接点は乏しいが、再エネ適地評価の手法（GIS×MCDA）は国内の太陽光・PPA案件の立地スクリーニングや、アジア新興国での再エネ事業開発・カーボンクレジット案件の事前調査に応用可能。
In the global GX context
While focused on Nepal, the GIS-MCDA site suitability framework is transferable to global renewable siting and transition-finance due diligence, especially for development banks and corporates screening solar investments in emerging markets where disclosure-linked decarbonization targets drive procurement.
👥 読者別の含意
🔬研究者:途上国における再エネ適地評価の方法論（GIS×AHP）と空間データ制約の実例を提供する。
🏢実務担当者:新興国での太陽光案件の初期スクリーニングや再エネ調達戦略の立地判断に活用できる。
🏛政策担当者:再エネ導入政策が未整備な国での、根拠に基づく立地計画・土地利用規制設計の参考になる。
📄 Abstract（原文）
Abstract Renewable energy deployment is expanding globally owing to rising environmental concerns, rising fuel costs and the need for long-term energy security. However, inadequate evidence-based knowledge and policies to support large-scale renewable energy deployment in developing nations like Nepal are hindering its penetration. Therefore, in this study, high-resolution spatial data in a geographical information system were paired with multi-criteria decision-making and an analytical hierarchy process to identify suitable sites for solar farm development in Nepal. This methodology employs criteria such as climate, economics, topography and environment to assess the spatial suitability of a solar farm. Results showed that only 3% of Nepal's land area is suitable for solar farms, with 1.32% (1798 km2) as highly suitable, 1.6% (2243 km2) as moderately suitable and 0.08% (124 km2) as least suitable. Suitable sites are concentrated in the Terai and hilly regions, reflecting optimal solar radiation, gentle slopes and proximity to infrastructure. Using these areas for solar installations would enhance Nepal's clean energy transition and help achieve its sustainable development goals. In summary, this study provides an analytical basis for the decisions of energy planners, government bodies, specialists and researchers involved in energy planning and policy formulation.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1098/rsos.252375first seen 2026-09-20 04:34:57
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