Co-Design of a Wind–Hydrogen System: The Effect of Varying Wind Turbine Types on Techno-Economic Parameters

Thorsten Reichartz (), Georg Jacobs, Lucas Blickwedel, Dustin Frings and Ralf Schelenz
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Thorsten Reichartz: Chair for Wind Power Drives (CWD), RWTH Aachen University, Campus-Boulevard 61, 52074 Aachen, Germany
Georg Jacobs: Chair for Wind Power Drives (CWD), RWTH Aachen University, Campus-Boulevard 61, 52074 Aachen, Germany
Lucas Blickwedel: Chair for Wind Power Drives (CWD), RWTH Aachen University, Campus-Boulevard 61, 52074 Aachen, Germany
Dustin Frings: Chair for Wind Power Drives (CWD), RWTH Aachen University, Campus-Boulevard 61, 52074 Aachen, Germany
Ralf Schelenz: Chair for Wind Power Drives (CWD), RWTH Aachen University, Campus-Boulevard 61, 52074 Aachen, Germany

Energies, 2024, vol. 17, issue 18, 1-17

Abstract: Green hydrogen is crucial for achieving climate neutrality and replacing fossil fuels in processes that are hard to electrify. Wind farms producing electricity and hydrogen can help mitigate stress on electricity grids and enable new markets for operators. While optimizing wind farms for electricity production is well-established, optimizing combined wind–hydrogen systems is a relatively new research field. This study examines the potential profit of wind–hydrogen systems by conducting a case study of an onshore wind farm near the North Sea. Varying turbine types from high wind-speed turbines (with high annual energy production) to low wind-speed turbines (with high full-load hours) are examined. Findings indicate that in a combined hydrogen system, the low wind-speed turbines, which are sub-optimal for mere electricity production, yield lower levelized costs of hydrogen at a higher hydrogen production. Although high wind-speed turbines generate higher profits under current market conditions, at high hydrogen prices and low electricity prices, low wind-speed turbines can yield higher total profit at this site. Therefore, an integrated optimization approach of wind–hydrogen systems can, in certain cases, lead to better results compared to an isolated, sequential optimization of each individual system.

Keywords: green hydrogen; wind-to-hydrogen; wind farm optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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