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Title: Reduction of greenhouse gas and criteria pollutant emissions by direct conversion of associated flare gas to synthetic fuels at oil wellheads

Abstract

Here, this study describes the results of a 'well-to-wheel' life cycle assessment (LCA) carried out to determine the potential greenhouse gas and criteria pollutant emission reductions that could be achieved by converting associated flare gas directly to synthetic fuels at oil wellheads in the US and globally. A Greyrock Flare Gas-to-Fuels TM conversion process at an Ohio oil well was used as the base case for this LCA. The liquid fuel produced directly from associated gas is comprised primarily of premium synthetic diesel with a small amount of synthetic gasoline. In this LCA scenario, the synthetic diesel and synthetic gasoline are blended at 20 and 10 vol% with petroleum diesel and gasoline, respectively. While the synthetic diesel fuel can be used as is (100%), the 20 vol% synthetic diesel blend (with petroleum diesel) was found to significantly improve engine performance, increase fuel economy, and reduce emissions. The direct conversion of associated gas to synthetic diesel fuels globally could reduce emissions of CO 2 and CH 4 by up to 356 and 5.96 million metric tons/year, respectively, resulting in the reduction of greenhouse gases (GHGs) by about 113.3 and 92.2% (20 year global warming potential) and 73.8 and 50.7% (100 yearmore » global warming potential) for synthetic diesel and gasoline fuels when compared to petroleum-derived gasoline fuels, respectively. Likewise, diesel criteria emissions could be reduced globally by up to 23.3, 0.374, 42.4, and 61.3 million metric tons/year globally for CO, particulates, NOx, and hydrocarbons, respectively. The potential economic benefit of this approach is that up to 5.30 and 71.1 billion liters of synthetic fuels could be produced each year in the US and globally from associated gas, respectively.« less

Authors:
; ; ; ;
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Bioenergy Technologies Office (EE-3B)
OSTI Identifier:
1437059
Alternate Identifier(s):
OSTI ID: 1440735
Report Number(s):
NREL/JA-5100-71541
Journal ID: ISSN 2008-9163; PII: 273
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Published Article
Journal Name:
International Journal of Energy and Environmental Engineering
Additional Journal Information:
Journal Name: International Journal of Energy and Environmental Engineering Journal Volume: 9 Journal Issue: 3; Journal ID: ISSN 2008-9163
Publisher:
Springer Science + Business Media
Country of Publication:
Iran, Islamic Republic of
Language:
English
Subject:
29 ENERGY PLANNING, POLICY, AND ECONOMY; associated flare gas; direct synthetic fuel production; flare emissions; vehicle emissions; greenhouse gas emissions; criteria pollutant emissions; well to wheels life cycle assessments (WTW-LCA); economic benefits

Citation Formats

Tan, Eric C. D., Schuetzle, Dennis, Zhang, Yimin, Hanbury, Orion, and Schuetzle, Robert. Reduction of greenhouse gas and criteria pollutant emissions by direct conversion of associated flare gas to synthetic fuels at oil wellheads. Iran, Islamic Republic of: N. p., 2018. Web. doi:10.1007/s40095-018-0273-9.
Tan, Eric C. D., Schuetzle, Dennis, Zhang, Yimin, Hanbury, Orion, & Schuetzle, Robert. Reduction of greenhouse gas and criteria pollutant emissions by direct conversion of associated flare gas to synthetic fuels at oil wellheads. Iran, Islamic Republic of. doi:10.1007/s40095-018-0273-9.
Tan, Eric C. D., Schuetzle, Dennis, Zhang, Yimin, Hanbury, Orion, and Schuetzle, Robert. Mon . "Reduction of greenhouse gas and criteria pollutant emissions by direct conversion of associated flare gas to synthetic fuels at oil wellheads". Iran, Islamic Republic of. doi:10.1007/s40095-018-0273-9.
@article{osti_1437059,
title = {Reduction of greenhouse gas and criteria pollutant emissions by direct conversion of associated flare gas to synthetic fuels at oil wellheads},
author = {Tan, Eric C. D. and Schuetzle, Dennis and Zhang, Yimin and Hanbury, Orion and Schuetzle, Robert},
abstractNote = {Here, this study describes the results of a 'well-to-wheel' life cycle assessment (LCA) carried out to determine the potential greenhouse gas and criteria pollutant emission reductions that could be achieved by converting associated flare gas directly to synthetic fuels at oil wellheads in the US and globally. A Greyrock Flare Gas-to-FuelsTM conversion process at an Ohio oil well was used as the base case for this LCA. The liquid fuel produced directly from associated gas is comprised primarily of premium synthetic diesel with a small amount of synthetic gasoline. In this LCA scenario, the synthetic diesel and synthetic gasoline are blended at 20 and 10 vol% with petroleum diesel and gasoline, respectively. While the synthetic diesel fuel can be used as is (100%), the 20 vol% synthetic diesel blend (with petroleum diesel) was found to significantly improve engine performance, increase fuel economy, and reduce emissions. The direct conversion of associated gas to synthetic diesel fuels globally could reduce emissions of CO2 and CH4 by up to 356 and 5.96 million metric tons/year, respectively, resulting in the reduction of greenhouse gases (GHGs) by about 113.3 and 92.2% (20 year global warming potential) and 73.8 and 50.7% (100 year global warming potential) for synthetic diesel and gasoline fuels when compared to petroleum-derived gasoline fuels, respectively. Likewise, diesel criteria emissions could be reduced globally by up to 23.3, 0.374, 42.4, and 61.3 million metric tons/year globally for CO, particulates, NOx, and hydrocarbons, respectively. The potential economic benefit of this approach is that up to 5.30 and 71.1 billion liters of synthetic fuels could be produced each year in the US and globally from associated gas, respectively.},
doi = {10.1007/s40095-018-0273-9},
journal = {International Journal of Energy and Environmental Engineering},
number = 3,
volume = 9,
place = {Iran, Islamic Republic of},
year = {2018},
month = {5}
}

Journal Article:
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DOI: 10.1007/s40095-018-0273-9

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