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Scenarios of Carbon Emissions from the Power Sector in Guangdong Province

Author

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  • Zhong-Hua Tian

    (School of Electric Power, South China University of Technology, Guangzhou 510641, China)

  • Ze-Liang Yang

    (School of Electric Power, South China University of Technology, Guangzhou 510641, China)

Abstract

The electricity power sector plays an important role in both CO 2 emissions as well as the target contribution of non-fossil energy. Although the target for the reduction of CO 2 emission intensity in Guangdong (GD) has not been released by the central government, GD has set a goal for increasing the share of non-fossil energy in total energy consumption to 25% in the provincial 13th Five-Year Plan. In this study, the CO 2 emissions from the electric power sector and the corresponding share of non-fossil fuels in total energy consumption between 2005 and 2014 were analyzed. The logarithmic mean Divisia index (LMDI) technique was applied for investigating the factors affecting the changes in CO 2 emissions. The main results are as follows: in 2014, the CO 2 emissions from the electric power sector were 286.54 Mt, of which the net purchased electricity accounted for 22.4%. Economic growth is the main contributor for the increase in CO 2 emissions from the electric power sector. Electricity intensity, thermal generation efficiency, CO 2 emission coefficient, and electricity supply mix slowed the growth of CO 2 emissions. Several energy scenarios were developed, and results showed that the provincial target for the share of non-fossil fuels by 2020 would be achieved by all of the scenarios.

Suggested Citation

  • Zhong-Hua Tian & Ze-Liang Yang, 2016. "Scenarios of Carbon Emissions from the Power Sector in Guangdong Province," Sustainability, MDPI, vol. 8(9), pages 1-14, August.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:9:p:863-:d:76927
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    References listed on IDEAS

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    Cited by:

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    2. Huang, Jian-Bai & Luo, Yu-Mei & Feng, Chao, 2019. "An overview of carbon dioxide emissions from China's ferrous metal industry: 1991-2030," Resources Policy, Elsevier, vol. 62(C), pages 541-549.
    3. Linwei Ma & Chinhao Chong & Xi Zhang & Pei Liu & Weiqi Li & Zheng Li & Weidou Ni, 2018. "LMDI Decomposition of Energy-Related CO 2 Emissions Based on Energy and CO 2 Allocation Sankey Diagrams: The Method and an Application to China," Sustainability, MDPI, vol. 10(2), pages 1-37, January.
    4. Juan David Rivera-Niquepa & Daniela Rojas-Lozano & Paulo M. De Oliveira-De Jesus & Jose M. Yusta, 2022. "Decomposition Analysis of the Aggregate Carbon Intensity (ACI) of the Power Sector in Colombia—A Multi-Temporal Analysis," Sustainability, MDPI, vol. 14(20), pages 1-18, October.
    5. Goh, Tian & Ang, B.W. & Xu, X.Y., 2018. "Quantifying drivers of CO2 emissions from electricity generation – Current practices and future extensions," Applied Energy, Elsevier, vol. 231(C), pages 1191-1204.

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