Measuring Carbon Dioxide Emissions From Liquefied Natural Gas (LNG) Terminals With Imaging Spectroscopy
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Arizona Institutes for Resilience, University of ArizonaIssue Date
2023-11-30
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John Wiley and Sons IncCitation
Zhang, Z., Cusworth, D. H., Ayasse, A. K., Sherwin, E. D., & Brandt, A. R. (2023). Measuring carbon dioxide emissions from liquefied natural gas (LNG) terminals with imaging spectroscopy. Geophysical Research Letters, 50, e2023GL105755. https://doi.org/10.1029/2023GL105755Journal
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© 2023. The Authors. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
The rapid growth of liquefied natural gas (LNG) exports underscores the importance of CO2 monitoring for LNG export terminals. We present a method for measuring LNG terminal CO2 emissions using remote sensing imaging spectroscopy. The method is first validated using 47 power plant emission events with in situ measured data, then applied to 22 emission events in Sabine Pass and Cameron. The power plant data set shows a robust correlation between our estimates and in situ data, with R2 0.9146 and the average error −2%. At Sabine Pass, eight point sources are identified with emission rates from 219.69 ± 54.95 to 1,083.22 ± 308.06 t/hr. At Cameron, three point sources are identified with emission rates from 91.64 ± 25.81 to 265.61 ± 67.80 t/hr. The liquefaction carbon intensity estimates also align with past study ranges. This illustrates that remote sensing can validate environmental reporting and CO2 inventories for industrial facilities. © 2023. The Authors.Note
Open access journalISSN
0094-8276Version
Final Published Versionae974a485f413a2113503eed53cd6c53
10.1029/2023GL105755
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Except where otherwise noted, this item's license is described as © 2023. The Authors. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License.