Optimal integration of hybrid renewable energy systems for decarbonized urban electrification and hydrogen mobility

This study addresses cost-optimal sizing and energy management of a grid-integrated solar photovoltaic, wind turbine hybrid renewable energy system integrated with electrolyzer and hydrogen storage tank to simultaneously meet electricity and hydrogen demands considering the case study of Dijon, Fran...

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Veröffentlicht in:International journal of hydrogen energy Jg. 83; S. 1448 - 1462
Hauptverfasser: Basnet, Sarad, Deschinkel, Karine, Moyne, Luis Le, Péra, Marie Cécile
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 19.09.2024
Elsevier
Schlagworte:
Automatic
Computer Science
Cryptography and Security
Decarbonization
Distributed, Parallel, and Cluster Computing
Electric power
Emerging Technologies
Engineering Sciences
Fluid mechanics
Grid integrated hybrid renewable energy systems
Hydrogen to mobility
Mechanics
MILP optimization
Modeling and Simulation
Multiagent Systems
Optimal sizing/energy management
Physics
Power to hydrogen
Software Engineering
Thermics
Ubiquitous Computing
Power to hydrogen
Optimal sizing/energy management
Grid integrated hybrid renewable energy systems
Hydrogen to mobility
MILP optimization
Decarbonization
ISSN:0360-3199, 1879-3487
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Zusammenfassung:This study addresses cost-optimal sizing and energy management of a grid-integrated solar photovoltaic, wind turbine hybrid renewable energy system integrated with electrolyzer and hydrogen storage tank to simultaneously meet electricity and hydrogen demands considering the case study of Dijon, France. Mixed Integer Linear Programming optimization problem is formulated to evaluate two objective case scenarios: single objective and multi-objective, minimizing total annual costs and grid carbon emission footprint. The study incorporates various technical, economic, and environmental indicators focusing on the impact of sensitivity lying on various grid electricity purchase rates within the French electricity market prices. The results highlight that rising grid prices drive increased integration of renewable sources, while lower prices favor ultimate grid dependency. Constant hydrogen demand necessitates the installation of two electrolyzers. Notably, grid electricity prices above 60 €/MWh, result increase in the size of the hydrogen tank and electrolyzer operation to prevent renewable energy losses. Grid prices above 140 €/MWh depict 70% of electrical and 80% of electrolyzer demand provided by the renewable generation resulting in a carbon emission below 0.0416 Mt of CO2 and 0.643 kgCO2/kgH2. Conversely, grid prices below 20 €/MWh lead ultimately to 100% grid dependency with a higher carbon emission of approximately 0.14 Mt of CO2 and 4.13 kgCO2/kgH2 reducing the total annual cost to 41.63 Million €. Increase in grid prices from 20€/MWh to 180 €/MWh resulted in increase of hydrogen specific costs from 1.23 to 3.58 €/kgH2. Finally, the Pareto front diagram is employed to illustrate the trade-off between total annual cost and carbon emission due to grid imports, aiding in informed decision-making. [Display omitted] •Sizing and energy management for the production of decarbonized H2 for urban public transportation.•Maximization of renewable share for H2 production and electric demand.•Sensitivity analysis of the grid electricity price on sizing and total annual cost of ownership.•MILP optimization formulation and low computing effort resolution.•Multi-objective resolution with total costs and CO2 emissions.
ISSN:0360-3199
1879-3487
DOI:10.1016/j.ijhydene.2024.08.054