Optimization of the automotive ammonia fuel cycle using P-Graphs

Ammonia is a potential low-carbon alternative automotive fuel. However, it is produced commercially via the energy- and greenhouse gas-intensive Haber-Bosch process, and its nitrogen footprint may also detract from its environmental benefits. Thus, whether its use as an automotive fuel is sustainabl...

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Main Authors: Angeles, Donna A., Are, Kristian Ray Angelo G., Aviso, Kathleen B., Tan, Raymond Girard R., Razon, Luis F.
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Published: Animo Repository 2017
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/1627
https://animorepository.dlsu.edu.ph/context/faculty_research/article/2626/type/native/viewcontent
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-26262021-07-08T00:57:08Z Optimization of the automotive ammonia fuel cycle using P-Graphs Angeles, Donna A. Are, Kristian Ray Angelo G. Aviso, Kathleen B. Tan, Raymond Girard R. Razon, Luis F. Ammonia is a potential low-carbon alternative automotive fuel. However, it is produced commercially via the energy- and greenhouse gas-intensive Haber-Bosch process, and its nitrogen footprint may also detract from its environmental benefits. Thus, whether its use as an automotive fuel is sustainable from a life-cycle standpoint remains in question. In this study, a P-graph model is developed to determine the best well-to-wheel pathway for the use of ammonia as an automotive fuel, using carbon and nitrogen footprints as dual environmental criteria. Multiple fossil fuel-based and biomass-based ammonia production processes are considered, as well as different drivetrain configurations that include internal combustion engine vehicles (ICEV) and fuel cell vehicles (FCV). In the case of ICEV, the model also considers the secondary fuels needed to allow ammonia use in existing engines. Solving the P-graph model identifies the optimal pathway as cyanobacteria-based ammonia production coupled with FCV. This pathway has a carbon footprint of 4.96 g CO2 equiv/km and a nitrogen footprint of 0.325 g reactive N/km. The model also identifies a cluster of near-optimal solutions, for which possible technology improvements are discussed. © 2017 American Chemical Society. 2017-09-05T07:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/1627 https://animorepository.dlsu.edu.ph/context/faculty_research/article/2626/type/native/viewcontent Faculty Research Work Animo Repository Ammonia Atmospheric carbon dioxide—Environmental aspects Atmospheric nitrogen dioxide Motor fuels Chemical Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Ammonia
Atmospheric carbon dioxide—Environmental aspects
Atmospheric nitrogen dioxide
Motor fuels
Chemical Engineering
spellingShingle Ammonia
Atmospheric carbon dioxide—Environmental aspects
Atmospheric nitrogen dioxide
Motor fuels
Chemical Engineering
Angeles, Donna A.
Are, Kristian Ray Angelo G.
Aviso, Kathleen B.
Tan, Raymond Girard R.
Razon, Luis F.
Optimization of the automotive ammonia fuel cycle using P-Graphs
description Ammonia is a potential low-carbon alternative automotive fuel. However, it is produced commercially via the energy- and greenhouse gas-intensive Haber-Bosch process, and its nitrogen footprint may also detract from its environmental benefits. Thus, whether its use as an automotive fuel is sustainable from a life-cycle standpoint remains in question. In this study, a P-graph model is developed to determine the best well-to-wheel pathway for the use of ammonia as an automotive fuel, using carbon and nitrogen footprints as dual environmental criteria. Multiple fossil fuel-based and biomass-based ammonia production processes are considered, as well as different drivetrain configurations that include internal combustion engine vehicles (ICEV) and fuel cell vehicles (FCV). In the case of ICEV, the model also considers the secondary fuels needed to allow ammonia use in existing engines. Solving the P-graph model identifies the optimal pathway as cyanobacteria-based ammonia production coupled with FCV. This pathway has a carbon footprint of 4.96 g CO2 equiv/km and a nitrogen footprint of 0.325 g reactive N/km. The model also identifies a cluster of near-optimal solutions, for which possible technology improvements are discussed. © 2017 American Chemical Society.
format text
author Angeles, Donna A.
Are, Kristian Ray Angelo G.
Aviso, Kathleen B.
Tan, Raymond Girard R.
Razon, Luis F.
author_facet Angeles, Donna A.
Are, Kristian Ray Angelo G.
Aviso, Kathleen B.
Tan, Raymond Girard R.
Razon, Luis F.
author_sort Angeles, Donna A.
title Optimization of the automotive ammonia fuel cycle using P-Graphs
title_short Optimization of the automotive ammonia fuel cycle using P-Graphs
title_full Optimization of the automotive ammonia fuel cycle using P-Graphs
title_fullStr Optimization of the automotive ammonia fuel cycle using P-Graphs
title_full_unstemmed Optimization of the automotive ammonia fuel cycle using P-Graphs
title_sort optimization of the automotive ammonia fuel cycle using p-graphs
publisher Animo Repository
publishDate 2017
url https://animorepository.dlsu.edu.ph/faculty_research/1627
https://animorepository.dlsu.edu.ph/context/faculty_research/article/2626/type/native/viewcontent
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