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LCA model validation of SAGD facilities with real operation data as a collaborative example between model developers and industry
There has been a notable disagreement between life cycle GHG emission estimates reported by research communities and key energy sector stakeholders as many LCA models are not validated against real operation data. This is originated from lack of collaboration and knowledge exchange between model dev...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9845793/ https://www.ncbi.nlm.nih.gov/pubmed/36685036 http://dx.doi.org/10.1016/j.isci.2022.105859 |
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author | Masnadi, Mohammad S. McGaughy, Kyle Falls, Jillian Tarnoczi, Tyler |
author_facet | Masnadi, Mohammad S. McGaughy, Kyle Falls, Jillian Tarnoczi, Tyler |
author_sort | Masnadi, Mohammad S. |
collection | PubMed |
description | There has been a notable disagreement between life cycle GHG emission estimates reported by research communities and key energy sector stakeholders as many LCA models are not validated against real operation data. This is originated from lack of collaboration and knowledge exchange between model developers and company experts. We present a pragmatic procedure for engaging company experts to advance the assumptions, models, and information used in an open-source LCA simulator (OPGEE). Using real operation and local emission factor data, two oil sands SAGD fields GHG emissions are compared rigorously against the scope 1 and 2 reported emissions. By introducing consistent region-specific input data, system boundaries, and assumptions, OPGEE carbon intensity estimates are within 1%–5% of reported data by companies. The system boundary expansion (e.g., expanding from direct emissions to also include offsite emissions from natural gas co-production, diluent source emission) impacts the GHG intensities estimates for both fields. |
format | Online Article Text |
id | pubmed-9845793 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-98457932023-01-19 LCA model validation of SAGD facilities with real operation data as a collaborative example between model developers and industry Masnadi, Mohammad S. McGaughy, Kyle Falls, Jillian Tarnoczi, Tyler iScience Article There has been a notable disagreement between life cycle GHG emission estimates reported by research communities and key energy sector stakeholders as many LCA models are not validated against real operation data. This is originated from lack of collaboration and knowledge exchange between model developers and company experts. We present a pragmatic procedure for engaging company experts to advance the assumptions, models, and information used in an open-source LCA simulator (OPGEE). Using real operation and local emission factor data, two oil sands SAGD fields GHG emissions are compared rigorously against the scope 1 and 2 reported emissions. By introducing consistent region-specific input data, system boundaries, and assumptions, OPGEE carbon intensity estimates are within 1%–5% of reported data by companies. The system boundary expansion (e.g., expanding from direct emissions to also include offsite emissions from natural gas co-production, diluent source emission) impacts the GHG intensities estimates for both fields. Elsevier 2022-12-30 /pmc/articles/PMC9845793/ /pubmed/36685036 http://dx.doi.org/10.1016/j.isci.2022.105859 Text en © 2022. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Masnadi, Mohammad S. McGaughy, Kyle Falls, Jillian Tarnoczi, Tyler LCA model validation of SAGD facilities with real operation data as a collaborative example between model developers and industry |
title | LCA model validation of SAGD facilities with real operation data as a collaborative example between model developers and industry |
title_full | LCA model validation of SAGD facilities with real operation data as a collaborative example between model developers and industry |
title_fullStr | LCA model validation of SAGD facilities with real operation data as a collaborative example between model developers and industry |
title_full_unstemmed | LCA model validation of SAGD facilities with real operation data as a collaborative example between model developers and industry |
title_short | LCA model validation of SAGD facilities with real operation data as a collaborative example between model developers and industry |
title_sort | lca model validation of sagd facilities with real operation data as a collaborative example between model developers and industry |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9845793/ https://www.ncbi.nlm.nih.gov/pubmed/36685036 http://dx.doi.org/10.1016/j.isci.2022.105859 |
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