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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...

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Detalles Bibliográficos
Autores principales: Masnadi, Mohammad S., McGaughy, Kyle, Falls, Jillian, Tarnoczi, Tyler
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
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.
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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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