GeoH2 model: geospatial cost optimization of green hydrogen production including storage and transportation
<p>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:</p> <ul> <li>Op...
| Autors principals: | , , , , |
|---|---|
| Format: | Journal article |
| Idioma: | English |
| Publicat: |
Elsevier
2024
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| _version_ | 1826313026781839360 |
|---|---|
| author | Halloran, C Leonard, A Salmon, N Müller, L Hirmer, S |
| author_facet | Halloran, C Leonard, A Salmon, N Müller, L Hirmer, S |
| author_sort | Halloran, C |
| collection | OXFORD |
| description | <p>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:</p>
<ul>
<li>Optimizing hydrogen conversion and transport from production site to demand site</li>
<li>Optimizing green hydrogen production and storage based on spatially-specific wind and solar generation temporal availability</li>
</ul>
<p>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.</p> |
| first_indexed | 2024-09-25T04:04:26Z |
| format | Journal article |
| id | oxford-uuid:f9f7df67-b60f-4f0d-a482-11e53f4b7f4f |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-09-25T04:04:26Z |
| publishDate | 2024 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | oxford-uuid:f9f7df67-b60f-4f0d-a482-11e53f4b7f4f2024-05-16T07:33:17ZGeoH2 model: geospatial cost optimization of green hydrogen production including storage and transportationJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:f9f7df67-b60f-4f0d-a482-11e53f4b7f4fEnglishSymplectic ElementsElsevier2024Halloran, CLeonard, ASalmon, NMüller, LHirmer, S<p>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:</p> <ul> <li>Optimizing hydrogen conversion and transport from production site to demand site</li> <li>Optimizing green hydrogen production and storage based on spatially-specific wind and solar generation temporal availability</li> </ul> <p>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.</p> |
| spellingShingle | Halloran, C Leonard, A Salmon, N Müller, L Hirmer, S GeoH2 model: geospatial cost optimization of green hydrogen production including storage and transportation |
| title | GeoH2 model: geospatial cost optimization of green hydrogen production including storage and transportation |
| title_full | GeoH2 model: geospatial cost optimization of green hydrogen production including storage and transportation |
| title_fullStr | GeoH2 model: geospatial cost optimization of green hydrogen production including storage and transportation |
| title_full_unstemmed | GeoH2 model: geospatial cost optimization of green hydrogen production including storage and transportation |
| title_short | GeoH2 model: geospatial cost optimization of green hydrogen production including storage and transportation |
| title_sort | geoh2 model geospatial cost optimization of green hydrogen production including storage and transportation |
| work_keys_str_mv | AT halloranc geoh2modelgeospatialcostoptimizationofgreenhydrogenproductionincludingstorageandtransportation AT leonarda geoh2modelgeospatialcostoptimizationofgreenhydrogenproductionincludingstorageandtransportation AT salmonn geoh2modelgeospatialcostoptimizationofgreenhydrogenproductionincludingstorageandtransportation AT mullerl geoh2modelgeospatialcostoptimizationofgreenhydrogenproductionincludingstorageandtransportation AT hirmers geoh2modelgeospatialcostoptimizationofgreenhydrogenproductionincludingstorageandtransportation |