Tracking U.S. Liquefied Natural Gas Supply Chain Greenhouse Gas Emission Intensity through Direct Measurements

High Resolution Image Download MS PowerPoint Slide Recent regulatory and voluntary initiatives to estimate supply chain greenhouse gas (GHG) emission intensity of liquefied natural gas (LNG) have emphasized the use of direct measurements as activity-based national inventories tend to systematically underestimate GHG emission intensities. In this work, we demonstrate how measurement data can be integrated into a life cycle assessment (LCA) framework for assessing the GHG emissions of LNG supply chains by synthesizing results from a three year measurement campaign over 54 sites across production, midstream, and liquefaction stages. Measurement-informed GHG emission intensity ranges from 13.8 to 17.2 g of CO 2 equiv/MJ of LNG produced, about 19–39% higher than those derived from an activity-based inventory assessment. We also observe large variation in the contribution of each stage to the total supply chain emission intensity. Critically, we find that stages downstream of gas production account for up to 73% of the production to liquefaction GHG emission intensity of LNG. Thus, relying on aggregate production-only emission intensities as the basis to assess the emission impact of the LNG is likely to underestimate emissions, leading to potentially ineffective public or corporate policies. Finally, we find that supply-chain-specific GHG intensities can significantly differ from basin-level, representative GHG intensities; thus, assessments of the GHG intensity of LNG can benefit from being tied to individual transactions and specific gas pathways where data allow.

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Publication Details

Journal
Environmental Science & Technology
Published
2026-06-09
DOI
https://doi.org/10.1021/acs.est.5c11217
Primary Topic
Atmospheric and Environmental Gas Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Tracking U.S. Liquefied Natural Gas Supply Chain Greenhouse Gas Emission Intensity through Direct Measurements

Gregory B. Ross, Selina Roman-White, Daniel Zimmerle, William Daniels et al.
Environmental Science & Technology
Atmospheric and Environmental Gas Dynamics
article

Tracking U.S. Liquefied Natural Gas Supply Chain Greenhouse Gas Emission Intensity through Direct Measurements

Gregory B. Ross, Selina Roman-White, Daniel Zimmerle, William Daniels, Dorit Hammerling, Olga Khaliukova, Fiji George, Jiayang Wang, Yuanrui Zhu, Jenna Brown, Arvind P. Ravikumar
article en

Abstract

High Resolution Image Download MS PowerPoint Slide Recent regulatory and voluntary initiatives to estimate supply chain greenhouse gas (GHG) emission intensity of liquefied natural gas (LNG) have emphasized the use of direct measurements as activity-based national inventories tend to systematically underestimate GHG emission intensities. In this work, we demonstrate how measurement data can be integrated into a life cycle assessment (LCA) framework for assessing the GHG emissions of LNG supply chains by synthesizing results from a three year measurement campaign over 54 sites across production, midstream, and liquefaction stages. Measurement-informed GHG emission intensity ranges from 13.8 to 17.2 g of CO 2 equiv/MJ of LNG produced, about 19–39% higher than those derived from an activity-based inventory assessment. We also observe large variation in the contribution of each stage to the total supply chain emission intensity. Critically, we find that stages downstream of gas production account for up to 73% of the production to liquefaction GHG emission intensity of LNG. Thus, relying on aggregate production-only emission intensities as the basis to assess the emission impact of the LNG is likely to underestimate emissions, leading to potentially ineffective public or corporate policies. Finally, we find that supply-chain-specific GHG intensities can significantly differ from basin-level, representative GHG intensities; thus, assessments of the GHG intensity of LNG can benefit from being tied to individual transactions and specific gas pathways where data allow.

Environmental Science & Technology
Energy Institute (GB), Colorado School of Mines (US), Model Driven Solutions (United States) (US), Frontier Energy (United States) (US), The University of Texas at Austin (US), Colorado State University (US)
U.S. Department of Energy, Environmental Defense Fund
Responsible consumption and production
Openalex Percentile: Top 7%
Atmospheric and Environmental Gas Dynamics
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