エネルギー負担の大きい農村地域向け水素・バイオガス・マイクログリッドの空間情報を考慮した技術経済・レジリエンス最適化
Spatially Informed Techno-Economic and Resilience Optimization of Hydrogen-Biogas Microgrids for Energy-Burdened Rural Communities (原題)
Noor SJ, Moon H, Tesiero RC, Mirmotalebi S
🤖 gxceed AI 要約
日本語
本研究は、エネルギー負担の大きい農村地域向けに、水素・バイオガスを組み合わせたマイクログリッドの技術経済・レジリエンス評価フレームワークを開発し、ノースカロライナ州ロブソン郡に適用した。バイオガス統合により純現在コストが28.4%削減され、水素を含む構成はストレス期間の未供給電力を97.2%削減する。空間的優先順位付けとレジリエンス制約を組み合わせた計画の有効性を示す。
English
This study develops a spatially informed techno-economic and resilience assessment framework for hydrogen-biogas microgrids, applied to Robeson County, NC. Biogas integration reduces net present cost by 28.4%, and hydrogen-inclusive configurations cut stress-period unmet load by 97.2%. Combining spatial prioritization with resilience-constrained planning supports equitable renewable microgrid deployment.
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
日本の離島・過疎地のエネルギー供給や災害時レジリエンス向上に示唆を与える。水素・バイオガスを活用した地域マイクログリッドの設計評価手法は、日本の地域分散型エネルギー計画やSSBJ関連の非財務情報開示におけるレジリエンス指標にも応用可能。
In the global GX context
This paper contributes to global discourse on resilient and equitable renewable microgrids, relevant to ISSB and CSRD resilience disclosures. The spatial prioritization method (HPI) offers a transferable framework for energy-burdened communities worldwide, aligning with transition finance goals.
👥 読者別の含意
🔬研究者:Provides a replicable framework for resilience-constrained techno-economic optimization of hybrid microgrids, with clear quantitative results.
🏢実務担当者:Offers a method to design cost-effective, resilient microgrids for rural or underserved communities, potentially informing project development.
🏛政策担当者:Highlights the value of spatial prioritization and resilience constraints in energy planning, relevant for rural electrification and energy equity policies.
📄 Abstract（原文）
Energy-burdened rural communities require hybrid renewable energy storage solutions that are not only economically viable but also resilient to extended generation shortfalls. This study develops a spatially informed techno-economic and resilience assessment framework for hydrogen-biogas renewable microgrids and applies it to Robeson County, North Carolina. A Hydrogen Priority Index (HPI) is used to identify locations where high household energy burden coincides with favorable renewable energy suitability. Four community-scale microgrid configurations are then evaluated in HOMER Pro under standard economic criteria and an embedded seven-day winter solar shortfall stress scenario. Results show that biogas integration reduces net present cost by 28.4% by restructuring the optimal system architecture and reducing PV and battery oversizing. PV-battery configurations cannot achieve near-complete resilience under the imposed stress scenario regardless of component scaling, while hydrogen-inclusive configurations reduce stress-period unmet load by 97.2%. The full hydrogen-biogas hybrid delivers this resilience-constrained performance at 26% lower net present cost than the hydrogen-only configuration. These findings demonstrate that combining spatial prioritization with resilience-constrained techno-economic assessment supports more equitable and deployment-ready planning of renewable microgrids for underserved rural communities.
🔗 Provenance — このレコードを発見したソース
- Research Square https://doi.org/10.20944/preprints202608.1837.v1first seen 2026-08-31 04:39:03 · last seen 2026-09-09 04:31:03
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