低炭素輸送に向けたPV電源ハイブリッドEV充電・水素充填システムの最適化と持続可能性評価
Optimization and sustainability assessment of hybrid PV-powered EV charging and hydrogen refueling systems for low-carbon transport (原題)
Abdelhak Lekbir, Abdullahi Mohamed Samatar, Saad Mekhilef, Kok Soon Tey
🤖 gxceed AI 要約
日本語
マレーシア・クアラルンプールを対象に、PV電源の系統連系型統合エネルギーシステムでEV充電と水素充填の需要を同時供給する構成をHOMER Proで最適化した。PV-電解槽-系統-水素貯蔵構成が最良で、再エネ比率88.1%、LCOE 0.0516ドル/kWh、LCOH 3.76ドル/kg、炭素強度243.4 gCO₂/kWhを達成し、系統のみ比でコスト正規化CO₂指標を45.98%削減した。PV併設のEV充電・水素充填の協調運用が、系統依存を下げ低炭素モビリティへ移行する技術的・経済的に競争力ある経路であることを示す。
English
This study optimizes a grid-connected PV-based integrated energy system supplying both EV charging and hydrogen refueling demands in Kuala Lumpur, Malaysia, using HOMER Pro for 100 EVs and 100 HVs. The PV-electrolyzer-grid-hydrogen-storage configuration performed best, reaching an 88.1% renewable fraction, LCOE of $0.0516/kWh, LCOH of $3.76/kg, and carbon intensity of 243.4 gCO₂/kWh, cutting the cost-normalized CO₂ indicator by 45.98% versus grid-only. It shows coordinated PV-supported EV charging and hydrogen refueling is a technically viable, economically competitive pathway for low-carbon mobility.
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
日本では再エネ由来電力と水素の併給インフラは水素ステーション整備やEV充電網の脱炭素化と直結し、自治体・企業のGX投資判断に参考となる。系統電力の炭素強度が高い地域でのPV併設効果の定量例として、国内の再エネ調達・系統制約下での設計検討に示唆を与える。
In the global GX context
Globally, this contributes to the growing literature on integrated EV-and-hydrogen refueling infrastructure powered by renewables, relevant to transport decarbonization and grid-emission reduction under frameworks like CSRD and transition finance. It offers a replicable techno-economic template for emerging markets where hydrogen infrastructure is nascent and grids remain fossil-heavy.
👥 読者別の含意
🔬研究者:PV・電解槽・水素貯蔵を統合した需給最適化の手法と感度分析の枠組みを、新興国コンテキストで検証する事例として有用。
🏢実務担当者:EV充電と水素充填を併設する拠点の設備構成・コスト・再エネ比率の設計判断に、LCOE/LCOHの定量目安を提供する。
🏛政策担当者:水素・EVインフラの初期整備段階にある地域で、PV併設と系統連系を組み合わせた低炭素モビリティ政策の費用対効果検討に資する。
📄 Abstract(原文)
Abstract The rapid and simultaneous growth of electric vehicles (EVs) and hydrogen vehicles (HVs) has created an urgent need for integrated infrastructure capable of satisfying fundamentally different electricity and hydrogen demands while minimizing reliance on carbon-intensive grid electricity. This challenge is particularly significant in Malaysia, where hydrogen refueling infrastructure remains at an early stage of deployment, and electricity generation continues to rely heavily on fossil fuels. To address this gap, this study proposes a grid-connected photovoltaic (PV)-based integrated energy system for the coordinated supply of EV charging and hydrogen refueling demands in Kuala Lumpur, Malaysia. Representative electrical and hydrogen demand profiles for 100 EVs and 100 HVs were incorporated into a unified HOMER Pro optimization framework. Three system configurations were systematically compared using a structured workflow encompassing load and renewable resource characterization, component sizing and energy flow optimization, techno-economic and environmental assessment, and multi-parameter sensitivity analysis. The results identified the PV-electrolyzer-grid-hydrogen-storage configuration as the best-performing solution, achieving a renewable energy fraction of 88.1%, while delivering a levelized cost of electricity of $0.0516/kWh and a levelized cost of hydrogen of $3.76/kg. Environmentally, the optimized configuration achieved the lowest carbon intensity of 243.4 gCO₂/kWh and reduced the cost-normalized energy-equivalent CO₂ indicator by 45.98% relative to the grid-only configuration. These findings demonstrate that coordinated PV-supported EV charging and hydrogen refueling can provide a technically viable and economically competitive pathway for reducing grid dependence, lowering transport energy emissions, and supporting the transition toward an integrated low-carbon mobility infrastructure in Malaysia.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1038/s41598-026-73762-7first seen 2026-10-05 05:23:56
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