Posters | WindEurope Annual Event 2023

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Posters

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We would like to invite you to come and see the posters at our upcoming conference. The posters will showcase a diverse range of research topics and provide an opportunity for delegates to engage with the authors and learn more about their work. Whether you are a seasoned researcher or simply curious about the latest developments in your field, we believe that the posters will offer something of interest to everyone. So please, join us at the conference and take advantage of this opportunity to learn and engage with your peers in the academic community. We look forward to seeing you there!



PO120: Economic Impact Assessment of Hydrogen generated from Offshore Wind: A Case Study for Belgium

Maëlig Gaborieau, Offshore Wind Data Analyst, Spinergie

Abstract

Energy policies, current energy needs and the goal of decarbonisation of the industry require us to accelerate the production and the use of green hydrogen. Since this technology is quite new, there is a clear need to assess the value of it economically. In this research, an economic impact assessment (EIA) method is developed. A modular and flexible cost model is generated which estimates the LCOE (Levelized Cost of Energy) of an offshore wind farm and LCOH (Levelized Cost of Hydrogen) of a Hydrogen generation plant either as a hybrid renewable energy system (HRES) or independent from each other. The costs are estimated using schedule-based modelling approach which allows to take the reliability, maintenance operations as well as the production of both offshore wind farm and the hydrogen generation plant. The amount of electricity sent to the hydrogen generation is controlled by a set point. Developed EIA is demonstrated for Belgium using Mermaid Offshore Wind Farm. It is shown that the source of the electricity (either from the offshore wind farm or from the grid) has a large impact on the LCOH and the use of the set point while modelling helps to find at which conditions the electricity from offshore wind farm is more profitable.


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