Market-adaptive techno-economic and business management optimization of a renewable poly-generation hub for power, water, and green hydrogen.
電力、水、グリーン水素を供給する再生可能エネルギー多世代ハブの市場適応型技術経済・事業管理最適化 (AI 翻訳)
AbdulHafiz Jones, O. Nematov, M. Sharairi, Teddy Chandra, Kottala Sri Yogi, A. Rameshbabu, Byomakesh Dash, Parveen Kumar Abrol, Rohit Kumar, Mohammad Marefati
🤖 gxceed AI 要約
日本語
本研究は、太陽光発電、バイオガス発電、電解槽、水素貯蔵、燃料電池、RO淡水化、系統連携を組み合わせた再生可能エネルギー多世代ハブを、動的市場条件下で最適化する統合フレームワークを提案。NSGA-IIによる多目的最適化とファジィ意思決定を適用し、サウジアラビア・ジュバイルでのケーススタディにより、無停電、74.84%の再エネ比率、水素コスト2.53ドル/kg、水コスト0.84ドル/m3を達成。産業脱炭素と統合資源管理への実用的価値を示す。
English
This study develops an integrated optimization framework for a renewable poly-generation hub combining PV, biogas, electrolyzer, hydrogen storage, fuel cell, and desalination under dynamic market conditions. Using NSGA-II multi-objective optimization and fuzzy decision-making, the Jubail case study achieves zero loss of power supply, 74.84% renewable fraction, hydrogen cost of $2.53/kg, and water cost of $0.84/m3, demonstrating practical value for industrial decarbonization and integrated resource management.
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
日本でも水素基本戦略に基づきグリーン水素の低コスト化が急務。本論文の最適化手法とコスト目標（水素2.53ドル/kg）は、日本の大型水素サプライチェーン構築や再エネ余剰活用に参考となる。ただしサウジアラビアの日射条件が前提であり、日本への適用には日照変動や系統制約の追加考慮が必要。
In the global GX context
The paper provides a benchmark for integrated renewable hydrogen production costs ($2.53/kg) and system optimization, relevant to global hydrogen scale-up targets. The techno-economic framework can inform project developers and policymakers in designing cost-effective poly-generation systems. However, the results are location-specific (Saudi Arabia) and require adaptation for regions with different solar profiles and grid conditions.
👥 読者別の含意
🔬研究者:Provides a validated multi-objective optimization framework for renewable poly-generation systems, including NSGA-II and fuzzy decision-making, applicable to similar integrated energy-water-hydrogen studies.
🏢実務担当者:Offers a techno-economic template for designing cost-competitive green hydrogen projects, with detailed cost breakdowns and optimal sizing, useful for project developers and energy managers.
🏛政策担当者:Demonstrates that integrated renewable hubs can achieve grid-parity hydrogen costs, supporting policy targets for hydrogen adoption and decarbonization of industrial clusters.
📄 Abstract（原文）
This study develops an integrated techno-economic-environmental optimization framework for a renewable poly-generation hub designed to supply electricity, green hydrogen, oxygen, and desalinated water under dynamic market conditions. The system combines photovoltaic panels, a biogas generator, an electrolyzer, hydrogen storage, a fuel cell, reverse osmosis desalination, and grid exchange within a revenue-oriented energy management strategy that directs surplus electricity to the most profitable use. The methodology links component-level modeling, operational dispatch, NSGA-II based multi-objective optimization, and fuzzy decision-making to determine a compromise optimal design. Applied to Jubail, Saudi Arabia, the optimized configuration achieves zero loss of power supply probability, a renewable fraction of 74.84%, a system efficiency of 60.15%, and complete utilization of excess energy. Annual outputs reach 178,304.59 kg/year of hydrogen, 1,426.44 tons/year of oxygen, and 105,603.13 m3/year of freshwater. Economically, the system delivers a net present cost of $12.15 million, a levelized electricity cost of $0.0614/kWh, a hydrogen cost of $2.53/kg, and a water cost of $0.84/m3. Low life-cycle emissions and employment benefits further demonstrate its practical value for industrial decarbonization and integrated resource management under market-responsive operating conditions.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://www.nature.com/articles/s41598-026-61147-9_reference.pdffirst seen 2026-07-15 05:37:05
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