IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v288y2024ics0360544223032267.html
   My bibliography  Save this article

Impact of benchmark tightening design under output-based ETS on China's power sector

Author

Listed:
  • Zhang, Hongyu
  • Zhang, Da
  • Guo, Siyue
  • Zhang, Xiliang

Abstract

China's national Emission Trading System (ETS), which covers the power sector, is a key policy for supporting the low-carbon transformation of the power sector under China's carbon neutrality target. This study improved the portrayal of China's national ETS in the power planning model and characterised its output-based mechanism and special gas-fired power design. The impacts of different output-based ETS designs on the decarbonisation of power systems in China were then explored. The results show that the ETS can effectively peak the emissions of China's power sector earlier and support the application of carbon capture and storage (CCS) technology with slight impact on the average electricity cost. Benchmark tightening by 2%–5% every five years can lead to 3%–7% lower peak emissions of the power sector and deployment of CCS technology in 2025–2030. However, the current ETS design, which covers only coal- and gas-fired power units, plays a limited role in promoting renewable energy development by encouraging power generation by 1.3 % in 2035, with benchmark tightening of 5 % every five years. Distribution effects will occur among technologies and regions and will increase under more stringent benchmarks. Therefore, a moderate benchmark tightening rate is required to balance emission reduction and distribution effects in the near future.

Suggested Citation

  • Zhang, Hongyu & Zhang, Da & Guo, Siyue & Zhang, Xiliang, 2024. "Impact of benchmark tightening design under output-based ETS on China's power sector," Energy, Elsevier, vol. 288(C).
  • Handle: RePEc:eee:energy:v:288:y:2024:i:c:s0360544223032267
    DOI: 10.1016/j.energy.2023.129832
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223032267
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2023.129832?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wu, Qunli & Ma, Zhe & Meng, Fanxing, 2022. "Long-term impacts of carbon allowance allocation in China: An IC-DCGE model optimized by the hypothesis of imperfectly competitive market," Energy, Elsevier, vol. 241(C).
    2. Meng, Sam & Siriwardana, Mahinda & McNeill, Judith & Nelson, Tim, 2018. "The impact of an ETS on the Australian energy sector: An integrated CGE and electricity modelling approach," Energy Economics, Elsevier, vol. 69(C), pages 213-224.
    3. William A. Pizer & Xiliang Zhang, 2018. "China's New National Carbon Market," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 463-467, May.
    4. Wang, Peng & Dai, Han-cheng & Ren, Song-yan & Zhao, Dai-qing & Masui, Toshihiko, 2015. "Achieving Copenhagen target through carbon emission trading: Economic impacts assessment in Guangdong Province of China," Energy, Elsevier, vol. 79(C), pages 212-227.
    5. Goulder, Lawrence H. & Long, Xianling & Lu, Jieyi & Morgenstern, Richard D., 2022. "China's unconventional nationwide CO2 emissions trading system: Cost-effectiveness and distributional impacts," Journal of Environmental Economics and Management, Elsevier, vol. 111(C).
    6. Zhang, Hongyu & Zhang, Da & Zhang, Xiliang, 2023. "The role of output-based emission trading system in the decarbonization of China's power sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    7. Dissanayake, Sumali & Mahadevan, Renuka & Asafu-Adjaye, John, 2020. "Evaluating the efficiency of carbon emissions policies in a large emitting developing country," Energy Policy, Elsevier, vol. 136(C).
    8. Chen, Siyuan & Liu, Pei & Li, Zheng, 2019. "Multi-regional power generation expansion planning with air pollutants emission constraints," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 382-394.
    9. Yu, Zhongjue & Geng, Yong & Calzadilla, Alvaro & Bleischwitz, Raimund, 2022. "China's unconventional carbon emissions trading market: The impact of a rate-based cap in the power generation sector," Energy, Elsevier, vol. 255(C).
    10. Zhang, Lirong & Li, Yakun & Jia, Zhijie, 2018. "Impact of carbon allowance allocation on power industry in China’s carbon trading market: Computable general equilibrium based analysis," Applied Energy, Elsevier, vol. 229(C), pages 814-827.
    11. Li, Wei & Jia, Zhijie, 2016. "The impact of emission trading scheme and the ratio of free quota: A dynamic recursive CGE model in China," Applied Energy, Elsevier, vol. 174(C), pages 1-14.
    12. Li, Mingquan & Gao, Huiwen & Abdulla, Ahmed & Shan, Rui & Gao, Shuo, 2022. "Combined effects of carbon pricing and power market reform on CO2 emissions reduction in China's electricity sector," Energy, Elsevier, vol. 257(C).
    13. Pizer, William, 1997. "Prices vs. Quantities Revisited: The Case of Climate Change," RFF Working Paper Series dp-98-02, Resources for the Future.
    14. Bel, Germà & Joseph, Stephan, 2018. "Policy stringency under the European Union Emission trading system and its impact on technological change in the energy sector," Energy Policy, Elsevier, vol. 117(C), pages 434-444.
    15. Mason Inman & Michael D. Mastrandrea & Danny Cullenward, 2020. "An open-source model of the Western Climate Initiative cap-and-trade programme with supply-demand scenarios to 2030," Climate Policy, Taylor & Francis Journals, vol. 20(5), pages 626-640, May.
    16. Chi, Yuan-ying & Zhao, Hao & Hu, Yu & Yuan, Yong-ke & Pang, Yue-xia, 2022. "The impact of allocation methods on carbon emission trading under electricity marketization reform in China: A system dynamics analysis," Energy, Elsevier, vol. 259(C).
    17. Li, Ying & Lukszo, Zofia & Weijnen, Margot, 2015. "The implications of CO2 price for China’s power sector decarbonization," Applied Energy, Elsevier, vol. 146(C), pages 53-64.
    18. Liwei Ju & Zhongfu Tan & Huanhuan Li & Qingkun Tan & Xiangyu Zhang & Wei Zhang, 2016. "The Optimization Model for Interregional Power System Planning considering Carbon Emissions Trading and Renewable Energy Quota Mechanism," Discrete Dynamics in Nature and Society, Hindawi, vol. 2016, pages 1-15, October.
    19. Pietzcker, Robert C. & Osorio, Sebastian & Rodrigues, Renato, 2021. "Tightening EU ETS targets in line with the European Green Deal: Impacts on the decarbonization of the EU power sector," Applied Energy, Elsevier, vol. 293(C).
    20. Yi, Bo-Wen & Xu, Jin-Hua & Fan, Ying, 2019. "Coordination of policy goals between renewable portfolio standards and carbon caps: A quantitative assessment in China," Applied Energy, Elsevier, vol. 237(C), pages 25-35.
    21. Lin, Boqiang & Jia, Zhijie, 2018. "Impact of quota decline scheme of emission trading in China: A dynamic recursive CGE model," Energy, Elsevier, vol. 149(C), pages 190-203.
    22. Peng Wang & Meng Li, 2019. "Scenario Analysis in the Electric Power Industry under the Implementation of the Electricity Market Reform and a Carbon Policy in China," Energies, MDPI, vol. 12(11), pages 1-26, June.
    23. Li, Mengyu & Weng, Yuyan & Duan, Maosheng, 2019. "Emissions, energy and economic impacts of linking China’s national ETS with the EU ETS," Applied Energy, Elsevier, vol. 235(C), pages 1235-1244.
    24. Pietzcker, Robert & Osorio, Sebastian & Rodrigues, Renato, 2021. "Tightening EU ETS targets in line with the European Green Deal: Impacts on the decarbonization of the EU power sector," EconStor Preprints 222579, ZBW - Leibniz Information Centre for Economics, revised 2021.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Hongyu & Zhang, Da & Zhang, Xiliang, 2023. "The role of output-based emission trading system in the decarbonization of China's power sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    2. Tan, Xiujie & Sun, Qian & Wang, Meiji & Se Cheong, Tsun & Yan Shum, Wai & Huang, Jinpeng, 2022. "Assessing the effects of emissions trading systems on energy consumption and energy mix," Applied Energy, Elsevier, vol. 310(C).
    3. Yu-Jie Hu & Lishan Yang & Fali Duan & Honglei Wang & Chengjiang Li, 2022. "A Scientometric Analysis and Review of the Emissions Trading System," Energies, MDPI, vol. 15(12), pages 1-20, June.
    4. Lin, Boqiang & Jia, Zhijie, 2019. "Impacts of carbon price level in carbon emission trading market," Applied Energy, Elsevier, vol. 239(C), pages 157-170.
    5. Wu, Qunli & Ma, Zhe & Meng, Fanxing, 2022. "Long-term impacts of carbon allowance allocation in China: An IC-DCGE model optimized by the hypothesis of imperfectly competitive market," Energy, Elsevier, vol. 241(C).
    6. Tang, Ling & Wang, Haohan & Li, Ling & Yang, Kaitong & Mi, Zhifu, 2020. "Quantitative models in emission trading system research: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    7. Yidan Chen & Jiang Lin & David Roland-Holst & Xu Liu & Can Wang, 2023. "Declining Renewable Costs, Emissions Trading, and Economic Growth: China’s Power System at the Crossroads," Energies, MDPI, vol. 16(2), pages 1-14, January.
    8. Yu, Zhongjue & Geng, Yong & Calzadilla, Alvaro & Bleischwitz, Raimund, 2022. "China's unconventional carbon emissions trading market: The impact of a rate-based cap in the power generation sector," Energy, Elsevier, vol. 255(C).
    9. Ning Ren & Xiufan Zhang & Decheng Fan, 2022. "Influencing Factors and Realization Path of Power Decarbonization—Based on Panel Data Analysis of 30 Provinces in China from 2011 to 2019," IJERPH, MDPI, vol. 19(23), pages 1-24, November.
    10. Zhong, Meirui & Zhang, Rui & Ren, Xiaohang, 2023. "The time-varying effects of liquidity and market efficiency of the European Union carbon market: Evidence from the TVP-SVAR-SV approach," Energy Economics, Elsevier, vol. 123(C).
    11. Martina Ricci & Marcello Benvenuto & Stefano Gino Mosele & Roberto Pacciani & Michele Marconcini, 2022. "Predicting the Impact of Compressor Flexibility Improvements on Heavy-Duty Gas Turbines for Minimum and Base Load Conditions," Energies, MDPI, vol. 15(20), pages 1-14, October.
    12. Li, Yan & Feng, Tian-tian & Liu, Li-li & Zhang, Meng-xi, 2023. "How do the electricity market and carbon market interact and achieve integrated development?--A bibliometric-based review," Energy, Elsevier, vol. 265(C).
    13. Hänsel, Martin C. & Franks, Max & Kalkuhl, Matthias & Edenhofer, Ottmar, 2022. "Optimal carbon taxation and horizontal equity: A welfare-theoretic approach with application to German household data," Journal of Environmental Economics and Management, Elsevier, vol. 116(C).
    14. Pashchenko, Dmitry & Mustafin, Ravil & Karpilov, Igor, 2022. "Ammonia-fired chemically recuperated gas turbine: Thermodynamic analysis of cycle and recuperation system," Energy, Elsevier, vol. 252(C).
    15. Wang, Hao-ran & Feng, Tian-tian & Zhong, Cheng, 2023. "Effectiveness of CO2 cost pass-through to electricity prices under “electricity-carbon” market coupling in China," Energy, Elsevier, vol. 266(C).
    16. Jiang, Jingjing & Ye, Bin & Liu, Junguo, 2019. "Peak of CO2 emissions in various sectors and provinces of China: Recent progress and avenues for further research," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 813-833.
    17. Mariusz Pyra, 2023. "Simulation of the Progress of the Decarbonization Process in Poland’s Road Transport Sector," Energies, MDPI, vol. 16(12), pages 1-21, June.
    18. Luo, Shihua & Hu, Weihao & Liu, Wen & Zhang, Zhenyuan & Bai, Chunguang & Huang, Qi & Chen, Zhe, 2022. "Study on the decarbonization in China's power sector under the background of carbon neutrality by 2060," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    19. Lin, Boqiang & Jia, Zhijie, 2019. "How does tax system on energy industries affect energy demand, CO2 emissions, and economy in China?," Energy Economics, Elsevier, vol. 84(C).
    20. Finke, Jonas & Bertsch, Valentin, 2022. "Implementing a highly adaptable method for the multi-objective optimisation of energy systems," MPRA Paper 115504, University Library of Munich, Germany.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:288:y:2024:i:c:s0360544223032267. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.