GeoH2 model: Geospatial cost optimization of green hydrogen production including storage and transportation

[Display omitted] This paper presents GeoH2, a geospatial model that optimizes the cost of green hydrogen production, storage, transport, and conversion. This model calculates the cost of producing green hydrogen in a specified location to meet demand in another location by: •Optimizing hydrogen con...

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Bibliographic Details
Published in:MethodsX 2024-06, Vol.12, p.102660-102660, Article 102660
Main Authors: Halloran, Claire, Leonard, Alycia, Salmon, Nicholas, Müller, Leander, Hirmer, Stephanie
Format: Article
Language:English
Subjects:
Ammonia
GeoH2
GIS
Levelized cost of hydrogen
Power-to-X
Renewable energy
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Summary:[Display omitted] This paper presents GeoH2, a geospatial model that optimizes the cost of green hydrogen production, storage, transport, and conversion. This model calculates the cost of producing green hydrogen in a specified location to meet demand in another location by: •Optimizing hydrogen conversion and transport from production site to demand site•Optimizing green hydrogen production and storage based on spatially-specific wind and solar generation temporal availability This method allows users to map production costs throughout a region to identify the lowest-cost location of green hydrogen production to meet demand using a specified end-state for transportation and storage (i.e., pressurized hydrogen, ammonia, or liquefied hydrogen). These modeled costs can be compared to current or projected prices for energy and chemical feedstock in the region to assess the cost-competitiveness of green hydrogen. The model is designed to run at a country or regional scale. A case study application is provided for the context of Namibia.
ISSN:2215-0161
2215-0161
DOI:10.1016/j.mex.2024.102660