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Research on the Coordinated Development Path of Rural Energy Supply and Demand Under the Context of Rural Revitalization Based on the Asia-Pacific Integrated Model

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  • Minwei Liu

    (Planning & Research Center for Power Grid, Yunnan Power Grid Corp., Kunming 650011, China)

  • Ziyi Xiao

    (Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China)

  • Xiaoyu Liu

    (Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China)

  • Jincan Zeng

    (Energy Development Research Institute, China Southern Power Grid, Guangzhou 510663, China)

  • Qin Wang

    (Energy Development Research Institute, China Southern Power Grid, Guangzhou 510663, China)

  • Rongfeng Deng

    (Energy Development Research Institute, China Southern Power Grid, Guangzhou 510663, China)

  • Xi Liu

    (Energy Development Research Institute, China Southern Power Grid, Guangzhou 510663, China)

  • Guori Huang

    (Energy Development Research Institute, China Southern Power Grid, Guangzhou 510663, China)

  • Yuanzhe Zhu

    (Energy Development Research Institute, China Southern Power Grid, Guangzhou 510663, China)

  • Binghao He

    (Energy Development Research Institute, China Southern Power Grid, Guangzhou 510663, China)

  • Peng Wang

    (Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China)

Abstract

The rural revitalization strategy serves as a powerful engine, driving the coordinated development of urban and rural areas while propelling the modernization and increasing the quality of China’s construction. Based on the Asia-Pacific Integrated Model (AIM/Enduse model), this study constructed a Rural Areas in Guangdong model (RG-Enduse model) applicable to rural areas in Guangdong Province, China. The model includes 18 types of terminal technological equipment which are subdivided into 5 types of service needs for rural residents on the demand side. Through a supply-side analysis, this study explores the coordinated development paths of energy supply and demand in rural areas under the rural revitalization strategy across three distinct scenarios. The results show that energy consumption in the baseline (BL) scenario and the low-carbon (CM1) scenario will both peak in 2025 at 17.46 million tce and 14.35 million tce, respectively, and also show a continuous downward trend in the green low-carbon (CM2) scenario, falling to 9.77 million tce by 2060. Electricity will be the dominant energy resource in the carbon neutral path to 2060, with CM2 and CM2, accounting for 78.78% and 80.61% of green electricity consumption, respectively. In addition, the utilization of carbon capture, utilization, and storage (CCUS) for thermal power will be indispensable to ensure the stability of the green power supply.

Suggested Citation

  • Minwei Liu & Ziyi Xiao & Xiaoyu Liu & Jincan Zeng & Qin Wang & Rongfeng Deng & Xi Liu & Guori Huang & Yuanzhe Zhu & Binghao He & Peng Wang, 2025. "Research on the Coordinated Development Path of Rural Energy Supply and Demand Under the Context of Rural Revitalization Based on the Asia-Pacific Integrated Model," Sustainability, MDPI, vol. 17(9), pages 1-28, April.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:9:p:4055-:d:1646798
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    References listed on IDEAS

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    1. Wen, Zongguo & Chen, Min & Meng, Fanxin, 2015. "Evaluation of energy saving potential in China's cement industry using the Asian-Pacific Integrated Model and the technology promotion policy analysis," Energy Policy, Elsevier, vol. 77(C), pages 227-237.
    2. Mi Zhou & Hongxun Liu & Liqun Peng & Yue Qin & Dan Chen & Lin Zhang & Denise L. Mauzerall, 2022. "Environmental benefits and household costs of clean heating options in northern China," Nature Sustainability, Nature, vol. 5(4), pages 329-338, April.
    3. Liu, Wenling & Wang, Can & Mol, Arthur P.J., 2012. "Rural residential CO2 emissions in China: Where is the major mitigation potential?," Energy Policy, Elsevier, vol. 51(C), pages 223-232.
    4. Zhang, L.X. & Wang, C.B. & Bahaj, A.S., 2014. "Carbon emissions by rural energy in China," Renewable Energy, Elsevier, vol. 66(C), pages 641-649.
    5. Zheng, Xinye & Wei, Chu & Qin, Ping & Guo, Jin & Yu, Yihua & Song, Feng & Chen, Zhanming, 2014. "Characteristics of residential energy consumption in China: Findings from a household survey," Energy Policy, Elsevier, vol. 75(C), pages 126-135.
    6. Li, Canbing & He, Lina & Cao, Yijia & Xiao, Guoxuan & Zhang, Wei & Liu, Xiaohai & Yu, Zhicheng & Tan, Yi & Zhou, Jinju, 2014. "Carbon emission reduction potential of rural energy in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 254-262.
    7. Chen, Yilin & Shen, Huizhong & Zhong, Qirui & Chen, Han & Huang, Tianbo & Liu, Junfeng & Cheng, Hefa & Zeng, Eddy Y. & Smith, Kirk R. & Tao, Shu, 2016. "Transition of household cookfuels in China from 2010 to 2012," Applied Energy, Elsevier, vol. 184(C), pages 800-809.
    8. Wang, Na & Fu, Xiaodong & Wang, Shaobin, 2022. "Spatial-temporal variation and coupling analysis of residential energy consumption and economic growth in China," Applied Energy, Elsevier, vol. 309(C).
    9. Teng Ma & Silu Zhang & Yilong Xiao & Xiaorui Liu & Minghao Wang & Kai Wu & Guofeng Shen & Chen Huang & Yan Ru Fang & Yang Xie, 2023. "Costs and health benefits of the rural energy transition to carbon neutrality in China," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    10. Yao, Chunsheng & Chen, Chongying & Li, Ming, 2012. "Analysis of rural residential energy consumption and corresponding carbon emissions in China," Energy Policy, Elsevier, vol. 41(C), pages 445-450.
    11. Chen, Han & Huang, Ye & Shen, Huizhong & Chen, Yilin & Ru, Muye & Chen, Yuanchen & Lin, Nan & Su, Shu & Zhuo, Shaojie & Zhong, Qirui & Wang, Xilong & Liu, Junfeng & Li, Bengang & Tao, Shu, 2016. "Modeling temporal variations in global residential energy consumption and pollutant emissions," Applied Energy, Elsevier, vol. 184(C), pages 820-829.
    12. Zhang, Ming & Su, Bin, 2016. "Assessing China's rural household energy sustainable development using improved grouped principal component method," Energy, Elsevier, vol. 113(C), pages 509-514.
    13. Zhang, Lixiao & Yang, Zhifeng & Chen, Bin & Chen, Guoqian, 2009. "Rural energy in China: Pattern and policy," Renewable Energy, Elsevier, vol. 34(12), pages 2813-2823.
    14. Daioglou, Vassilis & van Ruijven, Bas J. & van Vuuren, Detlef P., 2012. "Model projections for household energy use in developing countries," Energy, Elsevier, vol. 37(1), pages 601-615.
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