Low Carbon Scenario Analysis of a Hydrogen-Based Energy Transition for On-Road Transportation in California

Fuel cell electric vehicles (FCEV) are emerging as one of the prominent zero emission vehicle technologies. This study follows a deterministic modeling approach to project two scenarios of FCEV adoption and the resulting hydrogen demand (low and high) up to 2050 in California, using a transportation...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Vishnu Vijayakumar, Alan Jenn, Lewis Fulton
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	fuel cell vehicle hydrogen demand modeling hydrogen supply chain Technology T
Acceso en línea:	https://doaj.org/article/a7b686a67a19439c8697e479c35f0184
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:a7b686a67a19439c8697e479c35f0184
record_format	dspace
spelling	oai:doaj.org-article:a7b686a67a19439c8697e479c35f01842021-11-11T15:56:34ZLow Carbon Scenario Analysis of a Hydrogen-Based Energy Transition for On-Road Transportation in California10.3390/en142171631996-1073https://doaj.org/article/a7b686a67a19439c8697e479c35f01842021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/7163https://doaj.org/toc/1996-1073Fuel cell electric vehicles (FCEV) are emerging as one of the prominent zero emission vehicle technologies. This study follows a deterministic modeling approach to project two scenarios of FCEV adoption and the resulting hydrogen demand (low and high) up to 2050 in California, using a transportation transition model. The study then estimates the number of hydrogen production and refueling facilities required to meet demand. The impact of system scale-up and learning rates on hydrogen price is evaluated using standalone supply chain models: H2A, HDSAM, HRSAM and HDRSAM. A sensitivity analysis explores key factors that affect hydrogen prices. In the high scenario, light and heavy-duty fuel cell vehicle stocks reach 12.5 million and 1 million by 2050, respectively. The resulting annual hydrogen demand is 3.9 billion kg, making hydrogen the dominant transportation fuel. Satisfying such high future demands will require rapid increases in infrastructure investments starting now, but especially after 2030 when there is an exponential increase in the number of production plants and refueling stations. In the long term, electrolytic hydrogen delivered using dedicated hydrogen pipelines to larger stations offers substantial cost savings. Feedstock prices, size of the hydrogen market and station utilization are the prominent parameters that affect hydrogen price.Vishnu VijayakumarAlan JennLewis FultonMDPI AGarticlefuel cell vehiclehydrogen demand modelinghydrogen supply chainTechnologyTENEnergies, Vol 14, Iss 7163, p 7163 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	fuel cell vehicle hydrogen demand modeling hydrogen supply chain Technology T
spellingShingle	fuel cell vehicle hydrogen demand modeling hydrogen supply chain Technology T Vishnu Vijayakumar Alan Jenn Lewis Fulton Low Carbon Scenario Analysis of a Hydrogen-Based Energy Transition for On-Road Transportation in California
description	Fuel cell electric vehicles (FCEV) are emerging as one of the prominent zero emission vehicle technologies. This study follows a deterministic modeling approach to project two scenarios of FCEV adoption and the resulting hydrogen demand (low and high) up to 2050 in California, using a transportation transition model. The study then estimates the number of hydrogen production and refueling facilities required to meet demand. The impact of system scale-up and learning rates on hydrogen price is evaluated using standalone supply chain models: H2A, HDSAM, HRSAM and HDRSAM. A sensitivity analysis explores key factors that affect hydrogen prices. In the high scenario, light and heavy-duty fuel cell vehicle stocks reach 12.5 million and 1 million by 2050, respectively. The resulting annual hydrogen demand is 3.9 billion kg, making hydrogen the dominant transportation fuel. Satisfying such high future demands will require rapid increases in infrastructure investments starting now, but especially after 2030 when there is an exponential increase in the number of production plants and refueling stations. In the long term, electrolytic hydrogen delivered using dedicated hydrogen pipelines to larger stations offers substantial cost savings. Feedstock prices, size of the hydrogen market and station utilization are the prominent parameters that affect hydrogen price.
format	article
author	Vishnu Vijayakumar Alan Jenn Lewis Fulton
author_facet	Vishnu Vijayakumar Alan Jenn Lewis Fulton
author_sort	Vishnu Vijayakumar
title	Low Carbon Scenario Analysis of a Hydrogen-Based Energy Transition for On-Road Transportation in California
title_short	Low Carbon Scenario Analysis of a Hydrogen-Based Energy Transition for On-Road Transportation in California
title_full	Low Carbon Scenario Analysis of a Hydrogen-Based Energy Transition for On-Road Transportation in California
title_fullStr	Low Carbon Scenario Analysis of a Hydrogen-Based Energy Transition for On-Road Transportation in California
title_full_unstemmed	Low Carbon Scenario Analysis of a Hydrogen-Based Energy Transition for On-Road Transportation in California
title_sort	low carbon scenario analysis of a hydrogen-based energy transition for on-road transportation in california
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/a7b686a67a19439c8697e479c35f0184
work_keys_str_mv	AT vishnuvijayakumar lowcarbonscenarioanalysisofahydrogenbasedenergytransitionforonroadtransportationincalifornia AT alanjenn lowcarbonscenarioanalysisofahydrogenbasedenergytransitionforonroadtransportationincalifornia AT lewisfulton lowcarbonscenarioanalysisofahydrogenbasedenergytransitionforonroadtransportationincalifornia
_version_	1718432621484048384

Low Carbon Scenario Analysis of a Hydrogen-Based Energy Transition for On-Road Transportation in California

Ejemplares similares