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Determining air quality and greenhouse gas impacts of hydrogen infrastructure and fuel cell vehicles.
Environ Sci Technol. 2009 Dec 01; 43(23):9022-9.ES

Abstract

Adoption of hydrogen infrastructure and hydrogen fuel cell vehicles (HFCVs) to replace gasoline internal combustion engine (ICE) vehicles has been proposed as a strategy to reduce criteria pollutant and greenhouse gas (GHG) emissions from the transportation sector and transition to fuel independence. However, it is uncertain (1) to what degree the reduction in criteria pollutants will impact urban air quality, and (2) how the reductions in pollutant emissions and concomitant urban air quality impacts compare to ultralow emission gasoline-powered vehicles projected for a future year (e.g., 2060). To address these questions, the present study introduces a "spatially and temporally resolved energy and environment tool" (STREET) to characterize the pollutant and GHG emissions associated with a comprehensive hydrogen supply infrastructure and HFCVs at a high level of geographic and temporal resolution. To demonstrate the utility of STREET, two spatially and temporally resolved scenarios for hydrogen infrastructure are evaluated in a prototypical urban airshed (the South Coast Air Basin of California) using geographic information systems (GIS) data. The well-to-wheels (WTW) GHG emissions are quantified and the air quality is established using a detailed atmospheric chemistry and transport model followed by a comparison to a future gasoline scenario comprised of advanced ICE vehicles. One hydrogen scenario includes more renewable primary energy sources for hydrogen generation and the other includes more fossil fuel sources. The two scenarios encompass a variety of hydrogen generation, distribution, and fueling strategies. GHG emissions reductions range from 61 to 68% for both hydrogen scenarios in parallel with substantial improvements in urban air quality (e.g., reductions of 10 ppb in peak 8-h-averaged ozone and 6 mug/m(3) in 24-h-averaged particulate matter concentrations, particularly in regions of the airshed where concentrations are highest for the gasoline scenario).

Authors+Show Affiliations

Advanced Power and Energy Program, University of California, Irvine, California 92697-3550, USA.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.

Language

eng

PubMed ID

19943683

Citation

Stephens-Romero, Shane, et al. "Determining Air Quality and Greenhouse Gas Impacts of Hydrogen Infrastructure and Fuel Cell Vehicles." Environmental Science & Technology, vol. 43, no. 23, 2009, pp. 9022-9.
Stephens-Romero S, Carreras-Sospedra M, Brouwer J, et al. Determining air quality and greenhouse gas impacts of hydrogen infrastructure and fuel cell vehicles. Environ Sci Technol. 2009;43(23):9022-9.
Stephens-Romero, S., Carreras-Sospedra, M., Brouwer, J., Dabdub, D., & Samuelsen, S. (2009). Determining air quality and greenhouse gas impacts of hydrogen infrastructure and fuel cell vehicles. Environmental Science & Technology, 43(23), 9022-9. https://doi.org/10.1021/es901515y
Stephens-Romero S, et al. Determining Air Quality and Greenhouse Gas Impacts of Hydrogen Infrastructure and Fuel Cell Vehicles. Environ Sci Technol. 2009 Dec 1;43(23):9022-9. PubMed PMID: 19943683.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Determining air quality and greenhouse gas impacts of hydrogen infrastructure and fuel cell vehicles. AU - Stephens-Romero,Shane, AU - Carreras-Sospedra,Marc, AU - Brouwer,Jacob, AU - Dabdub,Donald, AU - Samuelsen,Scott, PY - 2009/12/1/entrez PY - 2009/12/1/pubmed PY - 2010/2/6/medline SP - 9022 EP - 9 JF - Environmental science & technology JO - Environ Sci Technol VL - 43 IS - 23 N2 - Adoption of hydrogen infrastructure and hydrogen fuel cell vehicles (HFCVs) to replace gasoline internal combustion engine (ICE) vehicles has been proposed as a strategy to reduce criteria pollutant and greenhouse gas (GHG) emissions from the transportation sector and transition to fuel independence. However, it is uncertain (1) to what degree the reduction in criteria pollutants will impact urban air quality, and (2) how the reductions in pollutant emissions and concomitant urban air quality impacts compare to ultralow emission gasoline-powered vehicles projected for a future year (e.g., 2060). To address these questions, the present study introduces a "spatially and temporally resolved energy and environment tool" (STREET) to characterize the pollutant and GHG emissions associated with a comprehensive hydrogen supply infrastructure and HFCVs at a high level of geographic and temporal resolution. To demonstrate the utility of STREET, two spatially and temporally resolved scenarios for hydrogen infrastructure are evaluated in a prototypical urban airshed (the South Coast Air Basin of California) using geographic information systems (GIS) data. The well-to-wheels (WTW) GHG emissions are quantified and the air quality is established using a detailed atmospheric chemistry and transport model followed by a comparison to a future gasoline scenario comprised of advanced ICE vehicles. One hydrogen scenario includes more renewable primary energy sources for hydrogen generation and the other includes more fossil fuel sources. The two scenarios encompass a variety of hydrogen generation, distribution, and fueling strategies. GHG emissions reductions range from 61 to 68% for both hydrogen scenarios in parallel with substantial improvements in urban air quality (e.g., reductions of 10 ppb in peak 8-h-averaged ozone and 6 mug/m(3) in 24-h-averaged particulate matter concentrations, particularly in regions of the airshed where concentrations are highest for the gasoline scenario). SN - 0013-936X UR - https://www.unboundmedicine.com/medline/citation/19943683/Determining_air_quality_and_greenhouse_gas_impacts_of_hydrogen_infrastructure_and_fuel_cell_vehicles_ L2 - https://doi.org/10.1021/es901515y DB - PRIME DP - Unbound Medicine ER -