Techno-Economic Analysis of Low Carbon Hydrogen Production from Offshore Wind Using Battolyser Technology

Brian Jenkins (), David Squires, John Barton, Dani Strickland, K. G. U. Wijayantha, James Carroll, Jonathan Wilson, Matthew Brenton and Murray Thomson
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Brian Jenkins: Electronic and Electrical Engineering, University of Strathclyde, Glasgow G1 1XQ, UK
David Squires: Wolfson School of Engineering, Loughborough University, Loughborough LE11 3TU, UK
John Barton: Wolfson School of Engineering, Loughborough University, Loughborough LE11 3TU, UK
Dani Strickland: Wolfson School of Engineering, Loughborough University, Loughborough LE11 3TU, UK
K. G. U. Wijayantha: Centre for Renewable Energy Systems, Cranfield University, Bedfordshire MK43 0AL, UK
James Carroll: Electronic and Electrical Engineering, University of Strathclyde, Glasgow G1 1XQ, UK
Jonathan Wilson: Wolfson School of Engineering, Loughborough University, Loughborough LE11 3TU, UK
Matthew Brenton: Wolfson School of Engineering, Loughborough University, Loughborough LE11 3TU, UK
Murray Thomson: Wolfson School of Engineering, Loughborough University, Loughborough LE11 3TU, UK

Energies, 2022, vol. 15, issue 16, 1-20

Abstract: A battolyser is a combined battery electrolyser in one unit. It is based on flow battery technology and can be adapted to produce hydrogen at a lower efficiency than an electrolyser but without the need for rare and expensive materials. This paper presents a method of determining if a battolyser connected to a wind farm makes economic sense based on stochastic modelling. A range of cost data and operational scenarios are used to establish the impact on the NPV and LCOE of adding a battolyser to a wind farm. The results are compared to adding a battery or an electrolyser to a wind farm. Indications are that it makes economic sense to add a battolyser or battery to a wind farm to use any curtailed wind with calculated LCOE at £56/MWh to £58/MWh and positive NPV over a range of cost scenarios. However, electrolysers, are still too expensive to make economic sense.

Keywords: battolyser; electrolysis; energy storage; wind generation; stochastic modelling; NPV (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: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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