Time Value of Greenhouse Gas Emissions in Life Cycle Assessment and Techno-Economic Analysis
Author(s) -
Evan Sproul,
Jay Barlow,
Jason C. Quinn
Publication year - 2019
Publication title -
environmental science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.851
H-Index - 397
eISSN - 1520-5851
pISSN - 0013-936X
DOI - 10.1021/acs.est.9b00514
Subject(s) - greenhouse gas , cost of electricity by source , life cycle assessment , environmental economics , environmental science , coal , electricity , natural resource economics , net present value , social cost , electricity generation , environmental engineering , production (economics) , economics , engineering , waste management , ecology , power (physics) , physics , electrical engineering , macroeconomics , neoclassical economics , quantum mechanics , biology
Life cycle assessment is a fundamental tool used to evaluate the environmental impact of products. Standard life cycle assessment methodology ignores the impact of greenhouse gases relative to when they are emitted. In this paper, we present a method for leveraging the social cost of greenhouse gases to account for the temporal impacts of emissions in life cycle assessment and techno-economics. To demonstrate, we use this method to analyze the present value of the monetized impacts of emissions across multiple electricity generation technologies. Results show that accounting for time increases the present value across all but one of the technologies considered. Carbon intensive technologies show the highest increase, with coal rising between 26% and 62% depending on social cost scenario. Additionally, we demonstrate a second method that combines temporally resolved greenhouse gas emissions with techno-economic analysis. Considering temporal impacts of emissions within techno-economic analysis increases the levelized cost of electricity (LCOE) across all technologies considered. Carbon intensive technologies increase significantly, with the LCOE from coal rising between 37% and 263% depending on the social cost scenario. The proposed methods show that temporal resolution in life cycle assessment is critical for comparing the monetized impacts of greenhouse gas emissions across technologies.
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