Techno-economic optimization of multi-city off-grid PV–hydrogen systems for dual EV charging and green hydrogen production
複数都市におけるオフグリッドPV-水素システムの技術経済的最適化：EV充電とグリーン水素生産のデュアル用途 (AI 翻訳)
Ibham Veza, T. W. Riyadi, Sri Mumpuni Ngesti Rahaju, Muhammad Idris, Irianto, I. Fattah
🤖 gxceed AI 要約
日本語
本研究は、インドネシア5都市（ジャカルタ、バンドン、スラバヤ、メダン、マカッサル）におけるPV-水素システムの技術経済的最適化を実施。地域ごとの日射量や需要に応じたシステム設計の最適解を示し、マカッサルとスラバヤで最も低い電力・水素コストを達成。環境評価では、年間20GWh以上のクリーン電力、約30万kgのグリーン水素生産、17,000トン超のCO2削減効果を確認。政策立案や投資計画の基盤となる成果。
English
This study performs techno-economic optimization of PV-hydrogen systems in five Indonesian cities (Jakarta, Bandung, Surabaya, Medan, Makassar). Results show distinct geographical differences: Makassar and Surabaya achieve the lowest levelized cost of electricity (0.0416–0.0474 USD/kWh) and hydrogen (5.54–5.58 USD/kg). The integrated systems can generate over 20 GWh clean electricity, produce ~300,000 kg green hydrogen, and mitigate >17,000 metric tons of CO2 annually. The findings provide a robust basis for policy and investment to decarbonize urban transport.
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ASEAN諸国とのグリーン水素協力を強化しており、インドネシアの都市データに基づく本研究成果は、日本企業の海外水素事業やEVインフラ投資における技術的・経済的参考情報として有益。
In the global GX context
This study offers a multi-city techno-economic comparison of PV-hydrogen systems for EV charging and hydrogen production, providing a valuable benchmark for similar projects in tropical, developing regions. The results demonstrate that renewable hydrogen can be cost-competitive, supporting global energy transition goals.
👥 読者別の含意
🔬研究者:Provides a replicable optimization framework for multi-city PV-hydrogen systems with real solar and load data.
🏢実務担当者:Offers cost-efficient system configurations and LCOE/LCOH figures for project planning in Southeast Asian cities.
🏛政策担当者:Supports national hydrogen and EV infrastructure planning with quantified environmental and economic benefits.
📄 Abstract（原文）
Techno-economic optimization and assessment are applied in this study to evaluate photovoltaic (PV)-hydrogen systems that support clean transportation infrastructure in urban regions. The research fills a clear gap in techno-economic literature with its cross-city comparison and policy roadmap for Indonesian five cities. Using HOMER Pro software, the modeling covers PV arrays, electrolyzers, hydrogen tanks, converters, and batteries under site-specific solar radiation, temperature, and load data for Jakarta, Bandung, Surabaya, Medan, and Makassar. The results reveal distinct geographical differences in system performance. Makassar and Surabaya achieve the lowest levelized cost of electricity (0.0416–0.0474 USD/kWh) and hydrogen (5.54–5.58 USD/kg), while Medan records higher values due to lower solar potential. The findings demonstrate that the optimization enables cost-effective system design tailored to regional solar resources and energy demands. Environmental evaluation shows that integrated PV-hydrogen systems can generate over 20 GWh of clean electricity, produce approximately 300,000 kg of green hydrogen, and mitigate more than 17,000 metric tons of CO 2 annually. These findings confirm that PV-hydrogen configurations represent a technically feasible and economically competitive pathway to decarbonize urban transportation. This study contributes new insights by applying the modeling across multiple Indonesian cities, providing a strong foundation for policy formulation and investment planning. The outcomes highlight how PV-hydrogen systems can accelerate Indonesia’s sustainable energy transition and support the national target of achieving net-zero emissions by 2060.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3389/fenrg.2026.1834349first seen 2026-06-02 05:13:29 · last seen 2026-06-03 05:16:27
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