How to Reduce Carbon Dioxide Emissions from Power Systems in Gansu Province—Analyze from the Life Cycle Perspective

Wei Shi, Wenwen Tang, Fuwei Qiao, Zhiquan Sha, Chengyuan Wang and Sixue Zhao
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Wei Shi: College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
Wenwen Tang: College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
Fuwei Qiao: College of Economic, Northwest Normal University, Lanzhou 730070, China
Zhiquan Sha: College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
Chengyuan Wang: Gansu Province Ecological Environment Science Design and Research Institute, Lanzhou 730022, China
Sixue Zhao: College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China

Energies, 2022, vol. 15, issue 10, 1-15

Abstract: To develop effective strategies to reduce CO 2 emissions from electricity systems, this study accounted for carbon emissions from power systems (production, transmission, consumption) in Gansu Province based on life cycle theory. We used LMDI and SDA decomposition methods to analyze the driving force of carbon emissions and quantified the influence effect and action intensity of various factors on carbon emissions in corresponding links. Several results were found: (1) Direct carbon emissions during the stage of electricity production had the largest share of the entire electricity life cycle. (2) From the perspective of the cumulative contribution rate, electricity consumption and the electricity trade promoted carbon emissions in the stage of electricity production; the power structure, electricity efficiency, and fuel structure had opposite effects. (3) In the stage of electricity transmission, the higher the voltage level, the lower the net loss rate; high-voltage-level transmission lines effectively reduced the growth of implied carbon emissions. (4) Industrial restructuring and technological advances effectively offset the growth in carbon emissions due to population, economy, and electricity consumption. The results can provide a scientific basis for energy-saving and emission reduction policies in provincial government departments and the electric industry.

Keywords: electricity life cycle; CO 2 emissions; drive decomposition; LMDI; SDA (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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