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Examining the Effects of Installed Capacity Mix and Capacity Factor on Aggregate Carbon Intensity for Electricity Generation in China

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  • Shiping Ma

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Qianqian Liu

    (School of Geography, Nanjing Normal University, Nanjing 210023, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China)

  • Wenzhong Zhang

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

Promoting technological advancements and energy transitions in electricity generation are crucial for achieving carbon reduction goals. Some studies have examined the effectiveness of these measures by analysing the driving forces of “aggregate carbon intensity” (ACI) change. However, only a few studies have considered the effect of the installed capacity mix and capacity factor. Moreover, such analysis has never been applied at China’s provincial level after 2015. To alleviate this gap, our study applied a temporal and multi-regional spatial IDA-LMDI model to analyse the driving factors of ACI changes and disparities among the provinces of China from 2005 to 2019. The model notably includes the effects of the installed capacity mix, thermal capacity factor, and overall capacity factor. The analysis revealed that the decline in China’s ACI was diminished after 2015, while an ACI rebound was identified in five provinces. The changes in the ACI from 2015 to 2019 were mainly driven by the effect of the installed capacity mix rather than by the thermal efficiency and thermal capacity factor. The overall capacity factor was the only factor with a negative impact on the ACI change. We also found that its combined effect with the thermal capacity factor on increasing ACI can offset the effect of the installed capacity mix by reducing the ACI in provinces with significant additions of renewable energy installed capacity. The analysis of the influencing factors on the provincial ACI differences revealed that the share of hydropower installed capacity was significant. Moreover, the thermal efficiency and thermal capacity factor both played key roles in the ACI disparities in northeast, northwest, and central China. Overall, this study paves the way for data-driven measures of China’s carbon peak and carbon neutrality goals by improving the capacity factor of wind and solar power, leveraging the critical impact of hydropower, and narrowing the differences in the thermal power sector among provinces.

Suggested Citation

  • Shiping Ma & Qianqian Liu & Wenzhong Zhang, 2022. "Examining the Effects of Installed Capacity Mix and Capacity Factor on Aggregate Carbon Intensity for Electricity Generation in China," IJERPH, MDPI, vol. 19(6), pages 1-17, March.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:6:p:3471-:d:771643
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    References listed on IDEAS

    as
    1. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    2. 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.
    3. Ang, B.W. & Su, Bin, 2016. "Carbon emission intensity in electricity production: A global analysis," Energy Policy, Elsevier, vol. 94(C), pages 56-63.
    4. Liu, Benxi & Liao, Shengli & Cheng, Chuntian & Chen, Fu & Li, Weidong, 2018. "Hydropower curtailment in Yunnan Province, southwestern China: Constraint analysis and suggestions," Renewable Energy, Elsevier, vol. 121(C), pages 700-711.
    5. Ang, B.W., 2015. "LMDI decomposition approach: A guide for implementation," Energy Policy, Elsevier, vol. 86(C), pages 233-238.
    6. Zhang, Pengfei & Cai, Wenqiu & Yao, Mingtao & Wang, Zhiyou & Yang, Luzhen & Wei, Wendong, 2020. "Urban carbon emissions associated with electricity consumption in Beijing and the driving factors," Applied Energy, Elsevier, vol. 275(C).
    7. Smriti Mallapaty, 2020. "How China could be carbon neutral by mid-century," Nature, Nature, vol. 586(7830), pages 482-483, October.
    8. De Oliveira-De Jesus, Paulo M., 2019. "Effect of generation capacity factors on carbon emission intensity of electricity of Latin America & the Caribbean, a temporal IDA-LMDI analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 516-526.
    9. Cheng, Yuanyuan & Yao, Xin, 2021. "Carbon intensity reduction assessment of renewable energy technology innovation in China: A panel data model with cross-section dependence and slope heterogeneity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    10. Paulo M. De Oliveira-De Jesus & John J. Galvis & Daniela Rojas-Lozano & Jose M. Yusta, 2020. "Multitemporal LMDI Index Decomposition Analysis to Explain the Changes of ACI by the Power Sector in Latin America and the Caribbean between 1990–2017," Energies, MDPI, vol. 13(9), pages 1-14, May.
    11. Zhang, Ming & Liu, Xiao & Wang, Wenwen & Zhou, Min, 2013. "Decomposition analysis of CO2 emissions from electricity generation in China," Energy Policy, Elsevier, vol. 52(C), pages 159-165.
    12. Dong, Changgui & Qi, Ye & Dong, Wenjuan & Lu, Xi & Liu, Tianle & Qian, Shuai, 2018. "Decomposing driving factors for wind curtailment under economic new normal in China," Applied Energy, Elsevier, vol. 217(C), pages 178-188.
    13. Wang, Junfeng & He, Shutong & Qiu, Ye & Liu, Nan & Li, Yongjian & Dong, Zhanfeng, 2018. "Investigating driving forces of aggregate carbon intensity of electricity generation in China," Energy Policy, Elsevier, vol. 113(C), pages 249-257.
    14. Ang, B.W. & Goh, Tian, 2016. "Carbon intensity of electricity in ASEAN: Drivers, performance and outlook," Energy Policy, Elsevier, vol. 98(C), pages 170-179.
    15. Ang, B.W. & Xu, X.Y. & Su, Bin, 2015. "Multi-country comparisons of energy performance: The index decomposition analysis approach," Energy Economics, Elsevier, vol. 47(C), pages 68-76.
    16. Goh, Tian & Ang, B.W. & Su, Bin & Wang, H., 2018. "Drivers of stagnating global carbon intensity of electricity and the way forward," Energy Policy, Elsevier, vol. 113(C), pages 149-156.
    17. Ang, B.W. & Liu, Na, 2007. "Handling zero values in the logarithmic mean Divisia index decomposition approach," Energy Policy, Elsevier, vol. 35(1), pages 238-246, January.
    18. Liu, Nan & Ma, Zujun & Kang, Jidong, 2017. "A regional analysis of carbon intensities of electricity generation in China," Energy Economics, Elsevier, vol. 67(C), pages 268-277.
    19. Wood, Richard & Lenzen, Manfred, 2006. "Zero-value problems of the logarithmic mean divisia index decomposition method," Energy Policy, Elsevier, vol. 34(12), pages 1326-1331, August.
    20. Ang, B.W. & Zhou, P. & Tay, L.P., 2011. "Potential for reducing global carbon emissions from electricity production--A benchmarking analysis," Energy Policy, Elsevier, vol. 39(5), pages 2482-2489, May.
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