Cost-Optimal Design of a Stand-Alone PV-Driven Hydrogen Production and Refueling Station Using Genetic Algorithms

Driven by the growing availability of funding opportunities, electrolyzers have become increasingly accessible, unlocking significant potential for large-scale green hydrogen production. The goal of this investigation is to develop a techno-economic optimization framework for the design of a stand-alone photovoltaic (PV)-driven hydrogen production and refueling station, with the explicit objective of minimizing the levelized cost of hydrogen (LCOH). The system integrates PV generation, a proton-exchange-membrane electrolyzer, battery energy storage, compression, and high-pressure hydrogen storage to meet the daily demand of a fleet of fuel cell buses. Results show that the optimal configuration achieves an LCOH of 11 €/kg when only fleet demand is considered, whereas if surplus hydrogen sales are accounted for, the LCOH reduces to 7.98 €/kg. The analysis highlights that more than 75% of total investment costs are attributable to PV and electrolysis, underscoring the importance of capital incentives. Financial modeling indicates that a subsidy of about 58.4% of initial CAPEX is required to ensure a 10% internal rate of return under EU market conditions. The proposed methodology provides a reproducible decision-support tool for optimizing off-grid hydrogen refueling infrastructure and assessing policy instruments to accelerate hydrogen adoption in heavy-duty transport.

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Publication Details

Journal
Hydrogen
Published
2025-11-03
DOI
https://doi.org/10.3390/hydrogen6040098
Primary Topic
Hybrid Renewable Energy Systems
Type
article
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article

Cost-Optimal Design of a Stand-Alone PV-Driven Hydrogen Production and Refueling Station Using Genetic Algorithms

Umberto Di Matteo, Roberta Caponi, Enrico Bocci, Domenico Vizza
Hydrogen
Hybrid Renewable Energy Systems
article

Cost-Optimal Design of a Stand-Alone PV-Driven Hydrogen Production and Refueling Station Using Genetic Algorithms

Umberto Di Matteo, Roberta Caponi, Enrico Bocci, Domenico Vizza
article en

Abstract

Driven by the growing availability of funding opportunities, electrolyzers have become increasingly accessible, unlocking significant potential for large-scale green hydrogen production. The goal of this investigation is to develop a techno-economic optimization framework for the design of a stand-alone photovoltaic (PV)-driven hydrogen production and refueling station, with the explicit objective of minimizing the levelized cost of hydrogen (LCOH). The system integrates PV generation, a proton-exchange-membrane electrolyzer, battery energy storage, compression, and high-pressure hydrogen storage to meet the daily demand of a fleet of fuel cell buses. Results show that the optimal configuration achieves an LCOH of 11 €/kg when only fleet demand is considered, whereas if surplus hydrogen sales are accounted for, the LCOH reduces to 7.98 €/kg. The analysis highlights that more than 75% of total investment costs are attributable to PV and electrolysis, underscoring the importance of capital incentives. Financial modeling indicates that a subsidy of about 58.4% of initial CAPEX is required to ensure a 10% internal rate of return under EU market conditions. The proposed methodology provides a reproducible decision-support tool for optimizing off-grid hydrogen refueling infrastructure and assessing policy instruments to accelerate hydrogen adoption in heavy-duty transport.

HydrogenVol. 6(4)
Marconi University (IT)
Openalex Percentile: Top 65%
Hybrid Renewable Energy Systems
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Cost-Optimal Design of a Stand-Alone PV-Driven Hydrogen Production and Refueling Station Using Genetic Algorithms — Umberto Di Matteo, Roberta Caponi, et al. · Hydrogen (2025) | TGRS Research Map | TGRS