Energy–Logistics-Cost Nexus: Assessing LCOE Volatility, Decarbonization Barriers, and SDG 7 Alignment
エネルギー・物流・コストの連関：LCOEボラティリティ、脱炭素障壁、SDG7整合性の評価 (AI 翻訳)
Ramy Moussa, Fayrouz Tantawy, Nebal Magdy, Ahmed Sokkar, Retaj Khaled, Mariam Bassem
🤖 gxceed AI 要約
日本語
本研究は、再生可能エネルギーのコスト評価指標であるLCOEに物流・サプライチェーン・地政学リスクを統合したI-LCOEフレームワークを提案する。MENA・GCC地域の専門家インタビューと文献レビューに基づき、輸送遅延や通関ボトルネック等が動的リスクプレミアムを生むことを示し、政策・投資判断への示唆を提供する。
English
This study proposes the Integrated Levelized Cost of Energy (I-LCOE) framework, integrating logistics, supply chain, and geopolitical risks into renewable energy cost assessment. Based on interviews with MENA/GCC experts, it identifies dynamic risk premiums from transportation delays and customs bottlenecks, offering a structured approach for policy and investment planning aligned with SDG 7.
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
日本では、再生可能エネルギー導入拡大に伴い、サプライチェーン途絶や地政学リスクがコスト評価に与える影響が注目されている。本フレームワークは、日本のエネルギー政策や企業の調達戦略に物流リスクを織り込む視点を提供する。
In the global GX context
Globally, this framework addresses a gap in LCOE models by incorporating logistics and geopolitical risks, relevant for countries relying on imported renewable energy components. It supports more robust cost assessment for transition finance and policy development, complementing TCFD/ISSB disclosure on supply chain resilience.
👥 読者別の含意
🔬研究者:Provides a conceptual framework (I-LCOE) integrating logistics risks into renewable cost assessment, useful for further empirical testing.
🏢実務担当者:Offers a structured approach to incorporate supply chain risks into project cost evaluation and investment prioritization.
🏛政策担当者:Highlights the need to consider logistics and geopolitical factors in renewable energy planning and policy design.
📄 Abstract（原文）
The Levelized Cost of Energy (LCOE) is the standard metric for evaluating renewable energy project economics; however, conventional formulations inadequately represent the dynamic effects of logistics performance, supply chain disruptions, geopolitical risk, and institutional constraints on project costs. This study addresses this gap by proposing the Integrated Levelized Cost of Energy (I-LCOE), a conceptual framework designed for macro-level renewable energy planning and policy analysis. An interpretivist qualitative research design was adopted, combining a systematic literature review with twelve semi-structured interviews involving renewable energy, logistics, regulatory, and academic experts from the MENA and GCC regions. Thematic analysis identified five recurring challenges: limited knowledge management, weak integration of logistics within conventional LCOE models, fragmented sustainability metrics, stakeholder coordination inefficiencies, and reliance on tacit knowledge. The findings indicate that transportation delays, customs bottlenecks, infrastructure limitations, and geopolitical disruptions generate dynamic risk premiums that are insufficiently reflected in existing macro-level cost assessment approaches. In response, the study develops the four-layer I-LCOE framework, supported by an operational proxy variable mapping framework, a comparative assessment against established uncertainty methods, and an integrated digital knowledge management platform. The proposed framework provides a structured approach for incorporating logistics-induced uncertainty into renewable energy cost assessment, supporting more informed strategic planning, investment prioritization, and policy development aligned with Sustainable Development Goal 7 and the Paris Agreement.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.3390/en19153619first seen 2026-08-04 05:55:22
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