IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v148y2021ipbs0301421520306285.html
   My bibliography  Save this article

Can China decarbonize its electricity sector?

Author

Listed:
  • Demetriou, E.
  • Hadjistassou, C.

Abstract

Besides being the world's most populous country, China is also the top emitter of CO2 with power generation being the main culprit. Stretching between 2017 and 2050 a projection of the future Chinese electricity production is presented. Power generation forecasts derive from the Business As Usual (BAU), the Goals (Goals), the Renewables (RESc) and the Coal Free (CFr) scenarios. The RESc, consisting of renewables, hydro and batteries, is unable to meet electricity demand unless supplemented by fossil fuels. Bound by various constraints, natural gas is unlikely to act as a transition fuel to a low-carbon economy. At 0.207 $/kWh, the RESc yields the most expensive electricity which is twice as costly as the CFr and the Goals and 3 times more expensive than the BAU. Concerning CO2 emissions, the BAU will emit 7.26–12.34 Gigatonnes (Gt) compared to 2.57–4.76 Gt for the Goals, 0.79–2.03 Gt for the RESc and 0.68–1.47 Gt for the CFr by 2050. Both the CFr and Goals are the only ones that fulfil China's COP21 targets. Concluding, Land Use, Land-Use Change and Forestry (LULUCF) are estimated to lower CO2 emissions by 1.06 Gt indicating that China's electricity sector can realize net-zero emissions only by phasing-out coal.

Suggested Citation

  • Demetriou, E. & Hadjistassou, C., 2021. "Can China decarbonize its electricity sector?," Energy Policy, Elsevier, vol. 148(PB).
  • Handle: RePEc:eee:enepol:v:148:y:2021:i:pb:s0301421520306285
    DOI: 10.1016/j.enpol.2020.111917
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421520306285
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2020.111917?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. Liang, Z. & Chen, H. & Chen, S. & Lin, Z. & Kang, C., 2019. "Probability-driven transmission expansion planning with high-penetration renewable power generation: A case study in northwestern China," Applied Energy, Elsevier, vol. 255(C).
    2. Santos, Maria João & Ferreira, Paula & Araújo, Madalena, 2016. "A methodology to incorporate risk and uncertainty in electricity power planning," Energy, Elsevier, vol. 115(P2), pages 1400-1411.
    3. Gorre, Jachin & Ortloff, Felix & van Leeuwen, Charlotte, 2019. "Production costs for synthetic methane in 2030 and 2050 of an optimized Power-to-Gas plant with intermediate hydrogen storage," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    4. Huang, Yu Wen & Kittner, Noah & Kammen, Daniel M., 2019. "ASEAN grid flexibility: Preparedness for grid integration of renewable energy," Energy Policy, Elsevier, vol. 128(C), pages 711-726.
    5. Zhu Liu & Dabo Guan & Douglas Crawford-Brown & Qiang Zhang & Kebin He & Jianguo Liu, 2013. "A low-carbon road map for China," Nature, Nature, vol. 500(7461), pages 143-145, August.
    6. Chen, A.A. & Stephens, A.J. & Koon Koon, R. & Ashtine, M. & Mohammed-Koon Koon, K, 2020. "Pathways to climate change mitigation and stable energy by 100% renewable for a small island: Jamaica as an example," Renewable and Sustainable Energy Reviews, Elsevier, vol. 121(C).
    7. Zhang, Dahai & Wang, Jiaqi & Lin, Yonggang & Si, Yulin & Huang, Can & Yang, Jing & Huang, Bin & Li, Wei, 2017. "Present situation and future prospect of renewable energy in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 865-871.
    8. Wu, Jie & Albrecht, Johan & Fan, Ying & Xia, Yan, 2016. "The design of renewable support schemes and CO2 emissions in China," Energy Policy, Elsevier, vol. 99(C), pages 4-11.
    9. Wang, Ying & Zhang, Dayong & Ji, Qiang & Shi, Xunpeng, 2020. "Regional renewable energy development in China: A multidimensional assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
    10. Zhang, Ning & Lu, Xi & McElroy, Michael B. & Nielsen, Chris P. & Chen, Xinyu & Deng, Yu & Kang, Chongqing, 2016. "Reducing curtailment of wind electricity in China by employing electric boilers for heat and pumped hydro for energy storage," Applied Energy, Elsevier, vol. 184(C), pages 987-994.
    11. He, Li & Zhang, Shiyue & Chen, Yizhong & Ren, Lixia & Li, Jing, 2018. "Techno-economic potential of a renewable energy-based microgrid system for a sustainable large-scale residential community in Beijing, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 631-641.
    12. Zhao, Xiaoli & Yao, Jin & Sun, Chuyu & Pan, Wengeng, 2019. "Impacts of carbon tax and tradable permits on wind power investment in China," Renewable Energy, Elsevier, vol. 135(C), pages 1386-1399.
    13. Gorman, Will & Mills, Andrew & Wiser, Ryan, 2019. "Improving estimates of transmission capital costs for utility-scale wind and solar projects to inform renewable energy policy," Energy Policy, Elsevier, vol. 135(C).
    14. He, Gang & Kammen, Daniel M., 2016. "Where, when and how much solar is available? A provincial-scale solar resource assessment for China," Renewable Energy, Elsevier, vol. 85(C), pages 74-82.
    15. Fan, Jing-Li & Wei, Shijie & Yang, Lin & Wang, Hang & Zhong, Ping & Zhang, Xian, 2019. "Comparison of the LCOE between coal-fired power plants with CCS and main low-carbon generation technologies: Evidence from China," Energy, Elsevier, vol. 176(C), pages 143-155.
    16. Zhou, Wei & Yang, Hongxing & Fang, Zhaohong, 2006. "Wind power potential and characteristic analysis of the Pearl River Delta region, China," Renewable Energy, Elsevier, vol. 31(6), pages 739-753.
    17. Lin, Boqiang & Wu, Wei, 2017. "Cost of long distance electricity transmission in China," Energy Policy, Elsevier, vol. 109(C), pages 132-140.
    18. Wu, Lifeng & Gao, Xiaohui & Xiao, Yanli & Yang, Yingjie & Chen, Xiangnan, 2018. "Using a novel multi-variable grey model to forecast the electricity consumption of Shandong Province in China," Energy, Elsevier, vol. 157(C), pages 327-335.
    19. Zakeri, Behnam & Syri, Sanna, 2015. "Electrical energy storage systems: A comparative life cycle cost analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 569-596.
    20. He, Gang & Kammen, Daniel M., 2014. "Where, when and how much wind is available? A provincial-scale wind resource assessment for China," Energy Policy, Elsevier, vol. 74(C), pages 116-122.
    21. Mills, Andrew & Phadke, Amol & Wiser, Ryan, 2011. "Exploration of resource and transmission expansion decisions in the Western Renewable Energy Zone initiative," Energy Policy, Elsevier, vol. 39(3), pages 1732-1745, March.
    22. Kong, Zhaoyang & Lu, Xi & Jiang, Qingzhe & Dong, Xiucheng & Liu, Guixian & Elbot, Noah & Zhang, Zhonghua & Chen, Shi, 2019. "Assessment of import risks for natural gas and its implication for optimal importing strategies: A case study of China," Energy Policy, Elsevier, vol. 127(C), pages 11-18.
    23. Jianbo Yang & Qunyi Liu & Xin Li & Xiandan Cui, 2017. "Overview of Wind Power in China: Status and Future," Sustainability, MDPI, vol. 9(8), pages 1-12, August.
    24. Li, Xiaoyu & Yao, Xilong, 2020. "Can energy supply-side and demand-side policies for energy saving and emission reduction be synergistic?--- A simulated study on China's coal capacity cut and carbon tax," Energy Policy, Elsevier, vol. 138(C).
    25. Murray, Portia & Orehounig, Kristina & Grosspietsch, David & Carmeliet, Jan, 2018. "A comparison of storage systems in neighbourhood decentralized energy system applications from 2015 to 2050," Applied Energy, Elsevier, vol. 231(C), pages 1285-1306.
    26. Kahrl, Fredrich & Williams, Jim & Jianhua, Ding & Junfeng, Hu, 2011. "Challenges to China's transition to a low carbon electricity system," Energy Policy, Elsevier, vol. 39(7), pages 4032-4041, July.
    27. Isabella Damdinovna Elyakova & Aleksandr Andreyevich Khristoforov & Aleksandr Lvovich Elyakov & Larisa Ivanovna Danilova & Tamara Aleksandrovna Karataeva & Elena Vladimirovna Danilova, 2017. "Forecast Scenarios of World Prices for Natural Gas," European Research Studies Journal, European Research Studies Journal, vol. 0(4A), pages 284-297.
    28. Zhao, Guangling & Guerrero, Josep M. & Jiang, Kejun & Chen, Sha, 2017. "Energy modelling towards low carbon development of Beijing in 2030," Energy, Elsevier, vol. 121(C), pages 107-113.
    29. Ding, Suiting & Zhang, Ming & Song, Yan, 2019. "Exploring China's carbon emissions peak for different carbon tax scenarios," Energy Policy, Elsevier, vol. 129(C), pages 1245-1252.
    30. Bukhary, Saria & Ahmad, Sajjad & Batista, Jacimaria, 2018. "Analyzing land and water requirements for solar deployment in the Southwestern United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3288-3305.
    31. Helden, G. Jan van & Muysken, Joan, 1983. "Diseconomies of scale for plant utilisation in electricity generation," Economics Letters, Elsevier, vol. 11(3), pages 285-289.
    32. Yu, Sha & Yarlagadda, Brinda & Siegel, Jonas Elliott & Zhou, Sheng & Kim, Sonny, 2020. "The role of nuclear in China's energy future: Insights from integrated assessment," Energy Policy, Elsevier, vol. 139(C).
    33. Junginger, M. & Faaij, A. & Turkenburg, W. C., 2005. "Global experience curves for wind farms," Energy Policy, Elsevier, vol. 33(2), pages 133-150, January.
    34. Mathews, John A. & Tan, Hao, 2013. "The transformation of the electric power sector in China," Energy Policy, Elsevier, vol. 52(C), pages 170-180.
    35. Shangfeng Han & Baosheng Zhang & Xiaoyang Sun & Song Han & Mikael Höök, 2017. "China’s Energy Transition in the Power and Transport Sectors from a Substitution Perspective," Energies, MDPI, vol. 10(5), pages 1-25, April.
    36. Khanna, Nina Zheng & Zhou, Nan & Fridley, David & Ke, Jing, 2016. "Quantifying the potential impacts of China's power-sector policies on coal input and CO2 emissions through 2050: A bottom-up perspective," Utilities Policy, Elsevier, vol. 41(C), pages 128-138.
    37. Tu, Qiang & Betz, Regina & Mo, Jianlei & Fan, Ying & Liu, Yu, 2019. "Achieving grid parity of wind power in China – Present levelized cost of electricity and future evolution," Applied Energy, Elsevier, vol. 250(C), pages 1053-1064.
    38. Cheng, Yaohua & Zhang, Ning & Kirschen, Daniel S. & Huang, Wujing & Kang, Chongqing, 2020. "Planning multiple energy systems for low-carbon districts with high penetration of renewable energy: An empirical study in China," Applied Energy, Elsevier, vol. 261(C).
    39. Qi, Tianyu & Zhang, Xiliang & Karplus, Valerie J., 2014. "The energy and CO2 emissions impact of renewable energy development in China," Energy Policy, Elsevier, vol. 68(C), pages 60-69.
    40. Zhang, Sufang & Andrews-Speed, Philip & Li, Sitao, 2018. "To what extent will China's ongoing electricity market reforms assist the integration of renewable energy?," Energy Policy, Elsevier, vol. 114(C), pages 165-172.
    41. Tian, Ruijie & Zhang, Qi & Wang, Ge & Li, Hailong & Chen, Siyuan & Li, Yan & Tian, Yulu, 2017. "Study on the promotion of natural gas-fired electricity with energy market reform in China using a dynamic game-theoretic model," Applied Energy, Elsevier, vol. 185(P2), pages 1832-1839.
    42. Kim, Seunghyok & Koo, Jamin & Lee, Chang Jun & Yoon, En Sup, 2012. "Optimization of Korean energy planning for sustainability considering uncertainties in learning rates and external factors," Energy, Elsevier, vol. 44(1), pages 126-134.
    43. Machado, Mauricio Marins & de Sousa, Maria Conceição Sampaio & Hewings, Geoffrey, 2016. "Economies of scale and technological progress in electric power production: The case of Brazilian utilities," Energy Economics, Elsevier, vol. 59(C), pages 290-299.
    44. Zhao, Xiaoli & Cai, Qiong & Zhang, Sufang & Luo, Kaiyan, 2017. "The substitution of wind power for coal-fired power to realize China's CO2 emissions reduction targets in 2020 and 2030," Energy, Elsevier, vol. 120(C), pages 164-178.
    45. de Oliveira, Erick Meira & Cyrino Oliveira, Fernando Luiz, 2018. "Forecasting mid-long term electric energy consumption through bagging ARIMA and exponential smoothing methods," Energy, Elsevier, vol. 144(C), pages 776-788.
    46. Liu, Hailiang & Brown, Tom & Andresen, Gorm Bruun & Schlachtberger, David P. & Greiner, Martin, 2019. "The role of hydro power, storage and transmission in the decarbonization of the Chinese power system," Applied Energy, Elsevier, vol. 239(C), pages 1308-1321.
    47. Ferbar Tratar, Liljana & Mojškerc, Blaž & Toman, Aleš, 2016. "Demand forecasting with four-parameter exponential smoothing," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 162-173.
    48. Qunli Wu & Chenyang Peng, 2016. "Scenario Analysis of Carbon Emissions of China’s Electric Power Industry Up to 2030," Energies, MDPI, vol. 9(12), pages 1-18, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Demetriou, E. & Mallouppas, G. & Hadjistassou, C., 2021. "Embracing carbon neutral electricity and transportation sectors in Cyprus," Energy, Elsevier, vol. 229(C).
    2. Ziheng Niu & Jianliang Xiong & Xuesong Ding & Yao Wu, 2022. "Analysis of China’s Carbon Peak Achievement in 2025," Energies, MDPI, vol. 15(14), pages 1-18, July.
    3. Fan, Jing-Li & Li, Zezheng & Li, Kai & Zhang, Xian, 2022. "Modelling plant-level abatement costs and effects of incentive policies for coal-fired power generation retrofitted with CCUS," Energy Policy, Elsevier, vol. 165(C).
    4. Xiao, Kun & Yu, Bolin & Cheng, Lei & Li, Fei & Fang, Debin, 2022. "The effects of CCUS combined with renewable energy penetration under the carbon peak by an SD-CGE model: Evidence from China," Applied Energy, Elsevier, vol. 321(C).

    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. 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.
    2. Liu, Hailiang & Andresen, Gorm Bruun & Greiner, Martin, 2018. "Cost-optimal design of a simplified highly renewable Chinese electricity network," Energy, Elsevier, vol. 147(C), pages 534-546.
    3. Shangfeng Han & Baosheng Zhang & Xiaoyang Sun & Song Han & Mikael Höök, 2017. "China’s Energy Transition in the Power and Transport Sectors from a Substitution Perspective," Energies, MDPI, vol. 10(5), pages 1-25, April.
    4. Wu, Wei & Lin, Boqiang, 2018. "Application value of energy storage in power grid: A special case of China electricity market," Energy, Elsevier, vol. 165(PB), pages 1191-1199.
    5. Liu, Xi & Du, Huibin & Brown, Marilyn A. & Zuo, Jian & Zhang, Ning & Rong, Qian & Mao, Guozhu, 2018. "Low-carbon technology diffusion in the decarbonization of the power sector: Policy implications," Energy Policy, Elsevier, vol. 116(C), pages 344-356.
    6. Zhou, Dequn & Wu, Changsong & Wang, Qunwei & Zha, Donglan, 2019. "Response of scale and leverage of thermal power enterprises to renewable power enterprises in China," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    7. Tong, Zheming & Cheng, Zhewu & Tong, Shuiguang, 2021. "A review on the development of compressed air energy storage in China: Technical and economic challenges to commercialization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    8. Huan Wang & Wenying Chen & Hongjun Zhang & Nan Li, 2020. "Modeling of power sector decarbonization in China: comparisons of early and delayed mitigation towards 2-degree target," Climatic Change, Springer, vol. 162(4), pages 1843-1856, October.
    9. Xun Zhang & Yuehui Ma & Bin Ye & Zhang-Ming Chen & Ling Xiong, 2016. "Feasibility Analyses of Developing Low Carbon City with Hybrid Energy Systems in China: The Case of Shenzhen," Sustainability, MDPI, vol. 8(5), pages 1-16, May.
    10. Li, Jidong & Chen, Shijun & Wu, Yuqiang & Wang, Qinhui & Liu, Xing & Qi, Lijian & Lu, Xiuyuan & Gao, Lu, 2021. "How to make better use of intermittent and variable energy? A review of wind and photovoltaic power consumption in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    11. Zhang, Xiaodong & Patino-Echeverri, Dalia & Li, Mingquan & Wu, Libo, 2022. "A review of publicly available data sources for models to study renewables integration in China's power system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    12. Liao, Shiwu & Yao, Wei & Han, Xingning & Wen, Jinyu & Cheng, Shijie, 2017. "Chronological operation simulation framework for regional power system under high penetration of renewable energy using meteorological data," Applied Energy, Elsevier, vol. 203(C), pages 816-828.
    13. Lugovoy, Oleg & Gao, Shuo & Gao, Ji & Jiang, Kejun, 2021. "Feasibility study of China's electric power sector transition to zero emissions by 2050," Energy Economics, Elsevier, vol. 96(C).
    14. Hu, Haisheng & Zhao, Laijun & Dong, Wanhao, 2023. "How to achieve the goal of carbon peaking by the energy policy? A simulation using the DCGE model for the case of Shanghai, China," Energy, Elsevier, vol. 278(PA).
    15. Zhang, Meng & Guo, Huan & Sun, Ming & Liu, Sifeng & Forrest, Jeffrey, 2022. "A novel flexible grey multivariable model and its application in forecasting energy consumption in China," Energy, Elsevier, vol. 239(PE).
    16. Liu, Hailiang & Brown, Tom & Andresen, Gorm Bruun & Schlachtberger, David P. & Greiner, Martin, 2019. "The role of hydro power, storage and transmission in the decarbonization of the Chinese power system," Applied Energy, Elsevier, vol. 239(C), pages 1308-1321.
    17. Tan, Qinliang & Han, Jian & Liu, Yuan, 2023. "Examining the synergistic diffusion process of carbon capture and renewable energy generation technologies under market environment: A multi-agent simulation analysis," Energy, Elsevier, vol. 282(C).
    18. Hongli Liu & Xiaoyu Yan & Jinhua Cheng & Jun Zhang & Yan Bu, 2021. "Driving Factors for the Spatiotemporal Heterogeneity in Technical Efficiency of China’s New Energy Industry," Energies, MDPI, vol. 14(14), pages 1-21, July.
    19. Hayashi, Daisuke & Huenteler, Joern & Lewis, Joanna I., 2018. "Gone with the wind: A learning curve analysis of China's wind power industry," Energy Policy, Elsevier, vol. 120(C), pages 38-51.
    20. Ren, Guorui & Wan, Jie & Liu, Jinfu & Yu, Daren, 2019. "Characterization of wind resource in China from a new perspective," Energy, Elsevier, vol. 167(C), pages 994-1010.

    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:enepol:v:148:y:2021:i:pb:s0301421520306285. 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.elsevier.com/locate/enpol .

    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.