GeoH2 model: Geospatial cost optimization of green hydrogen production including storage and transportation
Halloran, C.; Leonard, A.; Salmon, N.; Müller, L.; Hirmer, S. (2024). GeoH2 model: Geospatial cost optimization of green hydrogen production including storage and transportation. MethodsX 12: 102660. https://dx.doi.org/10.1016/j.mex.2024.102660
In: MethodsX. ELSEVIER SCIENCE BV: Amsterdam. e-ISSN 2215-0161, more
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| Keywords |
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| Author keywords |
GIS; Levelized cost of hydrogen; Renewable energy; Power-to-X |
| Authors | | Top |
- Halloran, C.
- Leonard, A.
- Salmon, N.
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| Abstract |
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. |
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