z-logo
Premium
Meta‐Analysis of Life Cycle Assessment Studies on Electricity Generation with Carbon Capture and Storage
Author(s) -
Schreiber Andrea,
Zapp Petra,
Marx Josefine
Publication year - 2012
Publication title -
journal of industrial ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.377
H-Index - 102
eISSN - 1530-9290
pISSN - 1088-1980
DOI - 10.1111/j.1530-9290.2011.00435.x
Subject(s) - greenhouse gas , carbon capture and storage (timeline) , life cycle assessment , environmental science , environmental economics , electricity , carbon sequestration , electricity generation , natural gas , environmental impact assessment , bio energy with carbon capture and storage , computer science , natural resource economics , climate change , climate change mitigation , carbon dioxide , production (economics) , waste management , engineering , power (physics) , chemistry , economics , ecology , physics , organic chemistry , quantum mechanics , biology , electrical engineering , macroeconomics
Summary In the last decade, numerous life cycle assessments (LCAs) on environmental impacts of electricity generation with carbon capture and storage (CCS) have been conducted. This meta‐analysis comprises 15 LCAs of the three CCS technologies (postcombustion, oxyfuel, precombustion) with a focus on greenhouse gas reduction for different regions (Europe, United States, Japan, global), different fuels (hard coal, lignite, natural gas), and different time horizons (between the present and 2050). It presents a condensed overview of methodological variations, findings, and conclusions gathered from these LCAs. All LCAs show the expected reduction in global warming potential but an increase in many other impact categories, regardless of capture technology, time horizon, or fuel considered. Three parameter sets have been identified that have a significant impact on the results: (1) power plant efficiency and energy penalty of the capture process, (2) carbon dioxide capture efficiency and purity, and (3) fuel origin and composition. This meta‐analysis proves that LCA is a helpful tool to investigate the variety of environmental consequences associated with CCS. However, there are differences in the underlying assumptions of the LCAs as well as methodological shortcomings that yield heterogeneity of results. Without a better understanding of the technology, it is not possible to give a comprehensive picture. There also remains a wide field of subjects and technologies that have not yet been covered.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here