Exploring the driving factors and their mitigation potential in global energy-related CO2 emission

16929 9 92583 2 268543 document 92583 1-s2.0-S2096511720301080-main.pdf application/pdf 470a031c96a5965c38bd5d26a67539dd MD5 2149676 2020-12-14 11:14:57 https://pure.iiasa.ac.at/id/eprint/16929/1/1-s2.0-S2096511720301080-main.pdf 16929 1 1 application/pdf text en public cc_by_nc_nd_4

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published 92590 1 268567 document 92590 indexcodes.txt text/x-c 71cc592737e00756bd82df97173a3fae MD5 7248 2020-12-14 11:24:56 https://pure.iiasa.ac.at/id/eprint/16929/2/indexcodes.txt 16929 2 2 text/x-c other Generate index codes conversion from text to indexcodes en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/92583 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/92583 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/92583 archive 353 disk0/00/01/69/29 2020-12-14 11:16:47 2021-08-27 17:34:06 2020-12-14 11:16:47 article show Ma Z. Zhang S. Hou F. Tan X. Zhang F. Yang F. Guo F. 2120 0000-0001-6415-8083 Exploring the driving factors and their mitigation potential in global energy-related CO2 emission pub prog_ene CO2 emission; Kaya identity; Clean energy development; Electrification; Global Energy Interconnection; Mitigation potential In order to quantify the contribution of the mitigation strategies, an extended Kaya identity has been proposed in this paper for decomposing the various factors that influence the CO2 emission. To this end, we provided a detailed decomposition of the carbon intensity and energy intensity, which enables the quantification of clean energy development and electrification. The logarithmic mean divisia index (LMDI) has been applied to the historical data to quantify the contributions of the various factors affecting the CO2 emissions. Further, the global energy interconnection (GEI) scenario has been introduced for providing a systematic solution to meet the 2°C goal of the Paris Agreement. By combining LMDI with the scenario analysis, the mitigation potential of the various factors for CO2 emission has been analyzed. Results from the historical data indicate that economic development and population growth contribute the most to the increase in CO2 emissions, whereas improvement in the power generation efficiency predominantly helps in emission reduction. A numerical analysis, performed for obtaining the projected future carbon emissions, suggests that clean energy development and electrification are the top two factors that can decrease CO2 emissions, thus showing their great potential for mitigation in the future. Moreover, the carbon capture and storage technology serves as an important supplementary mitigation method. 2020-10 published Elsevier 10.1016/j.gloei.2020.11.001 2591 public Global Energy Interconnection 3 5 413-422 TRUE 2096-5117 FALSE no info:eu-repo/semantics/article