LCA model validation of SAGD facilities with real operation data as a collaborative example between model developers and industry
Summary: 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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-02-01
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| Series: | iScience |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589004222021320 |
| _version_ | 1797903378791006208 |
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| author | Mohammad S. Masnadi Kyle McGaughy Jillian Falls Tyler Tarnoczi |
| author_facet | Mohammad S. Masnadi Kyle McGaughy Jillian Falls Tyler Tarnoczi |
| author_sort | Mohammad S. Masnadi |
| collection | DOAJ |
| description | Summary: 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. |
| first_indexed | 2024-04-10T09:31:57Z |
| format | Article |
| id | doaj.art-60ce2be2f38d4ba9b121fda327da4c40 |
| institution | Directory Open Access Journal |
| issn | 2589-0042 |
| language | English |
| last_indexed | 2024-04-10T09:31:57Z |
| publishDate | 2023-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | iScience |
| spelling | doaj.art-60ce2be2f38d4ba9b121fda327da4c402023-02-19T04:26:30ZengElsevieriScience2589-00422023-02-01262105859LCA model validation of SAGD facilities with real operation data as a collaborative example between model developers and industryMohammad S. Masnadi0Kyle McGaughy1Jillian Falls2Tyler Tarnoczi3Department of Chemical & Petroleum Engineering, University of Pittsburgh, 3700 O’Hara St, 940 Benedum Hall, Pittsburgh, PA 15261, USA; CorrespondenceDepartment of Chemical & Petroleum Engineering, University of Pittsburgh, 3700 O’Hara St, 940 Benedum Hall, Pittsburgh, PA 15261, USACenovus Energy Inc., Calgary, AB, CanadaCenovus Energy Inc., Calgary, AB, CanadaSummary: 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.http://www.sciencedirect.com/science/article/pii/S2589004222021320Energy ResourcesEnergy modelingEnvironmental Science |
| spellingShingle | Mohammad S. Masnadi Kyle McGaughy Jillian Falls Tyler Tarnoczi LCA model validation of SAGD facilities with real operation data as a collaborative example between model developers and industry iScience Energy Resources Energy modeling Environmental Science |
| 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 | Energy Resources Energy modeling Environmental Science |
| url | http://www.sciencedirect.com/science/article/pii/S2589004222021320 |
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