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A Geospatial Method for Estimating the Levelised Cost of Hydrogen Production from Offshore Wind


This paper describes the development of a general-purpose geospatial model for assessing the economic viability of hydrogen production from offshore wind power. A key feature of the model is that it uses the offshore project's location characteristics (distance to port, water depth, distance to gas grid injection point). Learning rates are used to predict the cost of the wind farm's components and electrolyser stack replacement. The notional wind farm used in the paper has a capacity of 510 MW. The model is implemented in a geographic information system which is used to create maps of levelised cost of hydrogen from offshore wind in Irish waters. LCOH values in 2030 spatially vary by over 50% depending on location. The geographically distributed LCOH results are summarised in a multivariate production function which is a simple and rapid tool for generating preliminary LCOH estimates based on simple site input variables.

Funding source: This research was supported by a research grant from Science Foundation Ireland (SFI) under Grant No. 12/RC/2302 e P2 and by the H-Wind academic-industry consortium members DP Energy Ltd., ESB, Equinor ASA and Gas Networks Ireland. Van Nguyen Dinh has been supported by OWC, ABL Group.
Related subjects: Policy & Socio-Economics
Countries: Brazil ; Ireland

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