Mapping Territorial Readiness for Green Hydrogen Deployment in Colombia: A GIS-Based Multicriteria Framework
コロンビアにおけるグリーン水素展開のための領土準備態勢のマッピング:GISベースの多基準フレームワーク (AI 翻訳)
Dallos VQ, Pinto LC, Jaramillo-Gutiérrez MI, Olivero-Ortiz V, Robles-Algarin C
🤖 gxceed AI 要約
日本語
本研究は、コロンビアにおけるグリーン水素展開のための領土準備態勢を評価するGISベースの多基準フレームワークを提案する。15の基準(再生可能エネルギー潜在力、水素生産潜在力、コスト、技術成熟度、インフラ、水利用可能性、社会環境制約、イノベーション能力、政策整合性など)を統合し、専門家によるBest-Worst Methodで重み付けした。結果、バジェ・デル・カウカ県が最も高い適合性を示し、再生可能資源の豊富さだけではない多極的なパターンが明らかになった。
English
This study proposes a GIS-based multicriteria framework to assess territorial readiness for green hydrogen deployment in Colombia. It integrates 15 criteria (renewable potential, hydrogen production potential, cost, technology maturity, infrastructure, water availability, socio-environmental constraints, innovation capacity, policy alignment) weighted by the Best-Worst Method via expert consultation. Results reveal a polycentric pattern where Valle del Cauca ranks highest, not solely determined by raw renewable potential.
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
日本は2030年までの水素供給網構築を目指しており、本フレームワークは地域特性を考慮した水素展開計画の手法として参考になる。特に、再生可能資源以外の社会的・制度的要因を評価する点は、日本の地域間格差の分析にも応用可能。
In the global GX context
This paper offers a replicable framework for green hydrogen planning that balances technical, environmental, and socio-institutional factors. It is highly relevant for countries developing hydrogen strategies, as it demonstrates that high renewable potential alone does not guarantee suitability—a lesson applicable to global hydrogen deployment efforts.
👥 読者別の含意
🔬研究者:Provides a methodological framework integrating GIS and multicriteria decision analysis for hydrogen planning, useful for further studies in other regions.
🏢実務担当者:Guides prefeasibility studies and site selection for green hydrogen projects by highlighting key criteria beyond renewable potential.
🏛政策担当者:Offers evidence for differentiated regional planning and investment prioritization in hydrogen deployment, incorporating governance and conflict indices.
📄 Abstract(原文)
<title>Abstract</title> <p>Green hydrogen is emerging as a key energy carrier for decarbonizing industrial, logistics, and energy sectors, but its territorial deployment does not depend solely on renewable resource availability. In spatially heterogeneous countries such as Colombia, this technology requires the simultaneous assessment of energy, water, economic, logistics, environmental, technological, and institutional conditions. This study proposes a GIS-based multicriteria framework to evaluate territorial readiness for green hydrogen deployment in Colombia. The model integrated 15 criteria related to renewable potential, hydrogen production potential, levelized cost, technological maturity, infrastructure, water availability, socio-environmental restrictions, innovation capacity, and public policy alignment. Criteria were weighted using the Best-Worst Method through consultation with 16 experts and then integrated through map algebra to generate a national suitability surface. Results revealed a heterogeneous and polycentric territorial pattern, in which the highest-ranked departments did not necessarily correspond to those with the greatest raw renewable potential. Valle del Cauca ranked first, with a departmental mean suitability of 3.538, followed by Cundinamarca, Antioquia, Santander, and Cesar. A post-classification interpretation using conflict and governance indices further distinguished spatial suitability from territorial implementation conditions. The proposed framework provides a replicable tool to guide prefeasibility studies, pilot projects, and differentiated planning pathways for green hydrogen in complex territorial contexts.</p>
🔗 Provenance — このレコードを発見したソース
- Research Square https://doi.org/10.21203/rs.3.rs-9997134/v1first seen 2026-07-03 04:30:02 · last seen 2026-07-05 04:33:54
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。