Treffer: Modelling and optimisation of renewable hydrogen production from a 1 GW offshore wind-farm in France

Title:
Modelling and optimisation of renewable hydrogen production from a 1 GW offshore wind-farm in France
Authors:
Berthelin, M., Pinon, G.
Contributors:
Laboratoire Ondes et Milieux Complexes (LOMC), Université Le Havre Normandie (ULH), Normandie Université (NU)-Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS), Graduate school Material and Energy Sciences, ANR-10-LABX-0009,EMC3,Energy Materials and Clean Combustion Center(2010)
Source:
Innovations in Renewable Energies Offshore. :863-874
Publisher Information:
CCSD; CRC Press, 2024.
Publication Year:
2024
Collection:
collection:CNRS
collection:COMUE-NORMANDIE
collection:UNILEHAVRE
collection:LOMC
collection:ANR
collection:LOMC-ENERGIE
Subject Terms:
[SPI]Engineering Sciences [physics]
Original Identifier:
HAL: hal-04902223
Document Type:
Buch bookPart<br />Book sections
Language:
English
ISBN:
978-1-00-355885-9
Relation:
info:eu-repo/semantics/altIdentifier/doi/10.1201/9781003558859-94
DOI:
10.1201/9781003558859-94
Access URL:
https://hal.science/hal-04902223
https://hal.science/hal-04902223v1/document
https://hal.science/hal-04902223v1/file/RENEW_2024_Matteo_Berthelin_et_al.pdf
Rights:
info:eu-repo/semantics/OpenAccess
Accession Number:
edshal.hal.04902223v1
Database:
HAL

Weitere Informationen

The aim of the study is to model a renewable hydrogen production and storage system for an offshore windfarm. This modelling will be performed via the use of a numerical code in Python. The objective of the study is to find an optimal regarding: scaling of the equipment, maximal transformation capacity (in MW/GW), maximal storage capacity, installation costs, hydrogen production costs, etc. The model will take into account characteristic electricity production curves of the wind farm, instantaneous electricity consumption and production at national level, and instantaneous costs of electricity (tracked hour by hour). The final objective is to optimise the storage capacity, thereby improve the overall efficiency of the production system, reduce the costs, and ultimately smooth and level off demand and production peaks.