Negative Emission Energy Production Technologies: A Techno‐Economic and Life Cycle Analyses Review
Abstract
Negative emission technologies (NETs) are of growing importance for society to meet the atmospheric carbon levels required to maintain global temperatures under sustainable limits. A wide range of NETs have been proposed, but there are limited NET assessments that integrate life cycle analysis (LCA) and techno‐economic analysis (TEA). This Review gathers NET TEA/LCA findings and compares their costs and greenhouse gas emissions. Eight different NET‐producing transportation fuels and power‐generation technologies are considered: anaerobic digestion (lignocellulosic), fermentation, torrefaction, combustion, fast pyrolysis, gasification, and hydrothermal liquefaction. Most of these technologies sequester carbon either as carbon dioxide or as biochar. Some are carbon negative by virtue of avoided or displaced emissions. Overall, results indicate that NET energy production costs range between $20 and $80 GJ −1 and have emissions from −400 to 100 kg CO 2,eq GJ −1 . These results suggest that there are potential tradeoffs to consider when developing NETs. These results also show that future TEA/LCA studies of NETs are needed to decrease their uncertainty and improve their technology readiness level.
- Authors:
-
[1];
- Computational Engineering Division Lawrence Livermore National Laboratory 7000 East Avenue Livermore CA 94550 USA
- Department of Mechanical Engineering Iowa State University Ames IA 50011 USA, Bioeconomy Institute Iowa State University Ames IA 50011 USA
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1567916
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Energy Technology
- Additional Journal Information:
- Journal Name: Energy Technology Journal Volume: 8 Journal Issue: 11; Journal ID: ISSN 2194-4288
- Publisher:
- Wiley Blackwell (John Wiley & Sons)
- Country of Publication:
- Germany
- Language:
- English
Citation Formats
Li, Wenqin, and Wright, Mark M. Negative Emission Energy Production Technologies: A Techno‐Economic and Life Cycle Analyses Review. Germany: N. p., 2019.
Web. doi:10.1002/ente.201900871.
Li, Wenqin, & Wright, Mark M. Negative Emission Energy Production Technologies: A Techno‐Economic and Life Cycle Analyses Review. Germany. https://doi.org/10.1002/ente.201900871
Li, Wenqin, and Wright, Mark M. Tue .
"Negative Emission Energy Production Technologies: A Techno‐Economic and Life Cycle Analyses Review". Germany. https://doi.org/10.1002/ente.201900871.
@article{osti_1567916,
title = {Negative Emission Energy Production Technologies: A Techno‐Economic and Life Cycle Analyses Review},
author = {Li, Wenqin and Wright, Mark M.},
abstractNote = {Negative emission technologies (NETs) are of growing importance for society to meet the atmospheric carbon levels required to maintain global temperatures under sustainable limits. A wide range of NETs have been proposed, but there are limited NET assessments that integrate life cycle analysis (LCA) and techno‐economic analysis (TEA). This Review gathers NET TEA/LCA findings and compares their costs and greenhouse gas emissions. Eight different NET‐producing transportation fuels and power‐generation technologies are considered: anaerobic digestion (lignocellulosic), fermentation, torrefaction, combustion, fast pyrolysis, gasification, and hydrothermal liquefaction. Most of these technologies sequester carbon either as carbon dioxide or as biochar. Some are carbon negative by virtue of avoided or displaced emissions. Overall, results indicate that NET energy production costs range between $20 and $80 GJ −1 and have emissions from −400 to 100 kg CO 2,eq GJ −1 . These results suggest that there are potential tradeoffs to consider when developing NETs. These results also show that future TEA/LCA studies of NETs are needed to decrease their uncertainty and improve their technology readiness level.},
doi = {10.1002/ente.201900871},
journal = {Energy Technology},
number = 11,
volume = 8,
place = {Germany},
year = {Tue Oct 01 00:00:00 EDT 2019},
month = {Tue Oct 01 00:00:00 EDT 2019}
}
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