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Carbon intensity of global crude oil trading and market policy implications
The energy mix transition has accelerated the need for more accurate emissions reporting throughout the petroleum supply chain. Despite increasing environmental regulations and pressure for emissions disclosure, the low resolution of existing carbon footprint assessment does not account for the comp...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10520038/ https://www.ncbi.nlm.nih.gov/pubmed/37749103 http://dx.doi.org/10.1038/s41467-023-41701-z |
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author | Dixit, Yash El-Houjeiri, Hassan Monfort, Jean-Christophe Jing, Liang Zhang, Yiqi Littlefield, James Long, Wennan Falter, Christoph Badahdah, Alhassan Bergerson, Joule Speth, Raymond L. Barrett, Steven R. H. |
author_facet | Dixit, Yash El-Houjeiri, Hassan Monfort, Jean-Christophe Jing, Liang Zhang, Yiqi Littlefield, James Long, Wennan Falter, Christoph Badahdah, Alhassan Bergerson, Joule Speth, Raymond L. Barrett, Steven R. H. |
author_sort | Dixit, Yash |
collection | PubMed |
description | The energy mix transition has accelerated the need for more accurate emissions reporting throughout the petroleum supply chain. Despite increasing environmental regulations and pressure for emissions disclosure, the low resolution of existing carbon footprint assessment does not account for the complexity of crude oil trading. The lack of source crude traceability has led to poor visibility into the “well-to-refinery-entrance” carbon intensities at the level of granular pathways between producers and destination markets. Using high-fidelity datasets, optimization algorithms to facilitate supply chain traceability and bottom-up, physics-based emission estimators, we show that the variability in global “well-to-refinery-entrance” carbon intensities at the level of crude trade pathways is significant: 4.2–214.1 kg-CO(2)-equivalent/barrel with a volume-weighted average of 50.5 kg-CO(2)-equivalent/barrel. Coupled with oil supply forecasts under 1.5 °C scenarios up to 2050, this variability translates to additional CO(2)-equivalent savings of 1.5–6.1 Gigatons that could be realized solely by prioritizing low-carbon supply chain pathways without other capital-intensive mitigation measures. |
format | Online Article Text |
id | pubmed-10520038 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105200382023-09-27 Carbon intensity of global crude oil trading and market policy implications Dixit, Yash El-Houjeiri, Hassan Monfort, Jean-Christophe Jing, Liang Zhang, Yiqi Littlefield, James Long, Wennan Falter, Christoph Badahdah, Alhassan Bergerson, Joule Speth, Raymond L. Barrett, Steven R. H. Nat Commun Article The energy mix transition has accelerated the need for more accurate emissions reporting throughout the petroleum supply chain. Despite increasing environmental regulations and pressure for emissions disclosure, the low resolution of existing carbon footprint assessment does not account for the complexity of crude oil trading. The lack of source crude traceability has led to poor visibility into the “well-to-refinery-entrance” carbon intensities at the level of granular pathways between producers and destination markets. Using high-fidelity datasets, optimization algorithms to facilitate supply chain traceability and bottom-up, physics-based emission estimators, we show that the variability in global “well-to-refinery-entrance” carbon intensities at the level of crude trade pathways is significant: 4.2–214.1 kg-CO(2)-equivalent/barrel with a volume-weighted average of 50.5 kg-CO(2)-equivalent/barrel. Coupled with oil supply forecasts under 1.5 °C scenarios up to 2050, this variability translates to additional CO(2)-equivalent savings of 1.5–6.1 Gigatons that could be realized solely by prioritizing low-carbon supply chain pathways without other capital-intensive mitigation measures. Nature Publishing Group UK 2023-09-25 /pmc/articles/PMC10520038/ /pubmed/37749103 http://dx.doi.org/10.1038/s41467-023-41701-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Dixit, Yash El-Houjeiri, Hassan Monfort, Jean-Christophe Jing, Liang Zhang, Yiqi Littlefield, James Long, Wennan Falter, Christoph Badahdah, Alhassan Bergerson, Joule Speth, Raymond L. Barrett, Steven R. H. Carbon intensity of global crude oil trading and market policy implications |
title | Carbon intensity of global crude oil trading and market policy implications |
title_full | Carbon intensity of global crude oil trading and market policy implications |
title_fullStr | Carbon intensity of global crude oil trading and market policy implications |
title_full_unstemmed | Carbon intensity of global crude oil trading and market policy implications |
title_short | Carbon intensity of global crude oil trading and market policy implications |
title_sort | carbon intensity of global crude oil trading and market policy implications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10520038/ https://www.ncbi.nlm.nih.gov/pubmed/37749103 http://dx.doi.org/10.1038/s41467-023-41701-z |
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