IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i24p12992-d698567.html
   My bibliography  Save this article

Feasible Distributed Energy Supply Options for Household Energy Use in China from a Carbon Neutral Perspective

Author

Listed:
  • Yingxin Zhang

    (School of Economy, Beijing Technology and Business University, Beijing 100048, China)

  • Sainan Wang

    (School of Economy, Beijing Technology and Business University, Beijing 100048, China)

  • Wei Shao

    (Institute of Thermal Science and Technology, Shandong University, Jinan 250061, China)

  • Junhong Hao

    (School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China)

Abstract

This contribution firstly proposed the concept of annual average power generation hours and analyzed per capita energy consumption, carbon emission, and the human development index from a macro perspective. On this basis, we compared the average household electrical energy consumption of urban and rural residents based on the data from CGSS-2015 from a micro perspective. The results show the positive correlation between carbon emissions per capita and the human development index and China’s regional imbalance characteristics between household electricity consumption and renewable energy distribution. Therefore, the distributed energy supply system is proposed as an effective complement to centralized power generation systems and is the key to synergizing human development and carbon emissions in China. Moreover, we analyzed the characteristics of distributed energy supply systems in the context of existing energy supply systems, pointing out the need to fully use solar energy and natural gas. Finally, two types of typical distributed energy supply systems are proposed for satisfying the household energy requirements in remote or rural areas of western and the eastern or coastal areas of China, respectively. Two typical distributed energy systems integrate high-efficiency energy conversion, storage, and transfer devices such as electric heat pumps, photovoltaic thermal, heat and electricity storage, and fuel cells.

Suggested Citation

  • Yingxin Zhang & Sainan Wang & Wei Shao & Junhong Hao, 2021. "Feasible Distributed Energy Supply Options for Household Energy Use in China from a Carbon Neutral Perspective," IJERPH, MDPI, vol. 18(24), pages 1-16, December.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:24:p:12992-:d:698567
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/24/12992/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/24/12992/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sameti, Mohammad & Haghighat, Fariborz, 2018. "Integration of distributed energy storage into net-zero energy district systems: Optimum design and operation," Energy, Elsevier, vol. 153(C), pages 575-591.
    2. Lu Liu & Chong Zhou & Junbing Huang & Yu Hao, 2018. "The Impact of Financial Development on Energy Demand: Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(2), pages 269-287, January.
    3. Zhang, Fang & Deng, Hao & Margolis, Robert & Su, Jun, 2015. "Analysis of distributed-generation photovoltaic deployment, installation time and cost, market barriers, and policies in China," Energy Policy, Elsevier, vol. 81(C), pages 43-55.
    4. Li, Longxi & Mu, Hailin & Li, Nan & Li, Miao, 2016. "Economic and environmental optimization for distributed energy resource systems coupled with district energy networks," Energy, Elsevier, vol. 109(C), pages 947-960.
    5. Zhao, Xingang & Zeng, Yiping & Zhao, Di, 2015. "Distributed solar photovoltaics in China: Policies and economic performance," Energy, Elsevier, vol. 88(C), pages 572-583.
    6. Zhang, Youjun & Xiong, Nian & Ge, Zhihua & Zhang, Yichen & Hao, Junhong & Yang, Zhiping, 2020. "A novel cascade heating system for waste heat recovery in the combined heat and power plant integrating with the steam jet pump," Applied Energy, Elsevier, vol. 278(C).
    7. Chen, Han & Yang, Lei & Chen, Wenying, 2020. "Modelling national, provincial and city-level low-carbon energy transformation pathways," Energy Policy, Elsevier, vol. 137(C).
    8. Zhang, Youjun & Hao, Junhong & Ge, Zhihua & Zhang, Fuxiang & Du, Xiaoze, 2021. "Optimal clean heating mode of the integrated electricity and heat energy system considering the comprehensive energy-carbon price," Energy, Elsevier, vol. 231(C).
    9. Zhang, Junyi & Teng, Fei & Zhou, Shaojie, 2020. "The structural changes and determinants of household energy choices and energy consumption in urban China: Addressing the role of building type," Energy Policy, Elsevier, vol. 139(C).
    10. Zhao, Ning & You, Fengqi, 2020. "Can renewable generation, energy storage and energy efficient technologies enable carbon neutral energy transition?," Applied Energy, Elsevier, vol. 279(C).
    11. Xiao Han & Chu Wei, 2021. "Household energy consumption: state of the art, research gaps, and future prospects," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 12479-12504, August.
    12. Zhu, Xu & Yang, Jun & Pan, Xueli & Li, Gaojunjie & Rao, Yingqing, 2020. "Regional integrated energy system energy management in an industrial park considering energy stepped utilization," Energy, Elsevier, vol. 201(C).
    13. Ren, Hongbo & Zhou, Weisheng & Gao, Weijun, 2012. "Optimal option of distributed energy systems for building complexes in different climate zones in China," Applied Energy, Elsevier, vol. 91(1), pages 156-165.
    14. Zou, Baoling & Luo, Biliang, 2019. "Rural household energy consumption characteristics and determinants in China," Energy, Elsevier, vol. 182(C), pages 814-823.
    15. Wang, Yu & He, Jijiang & Chen, Wenying, 2021. "Distributed solar photovoltaic development potential and a roadmap at the city level in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    16. Yang, Ying & Campana, Pietro Elia & Yan, Jinyue, 2020. "Potential of unsubsidized distributed solar PV to replace coal-fired power plants, and profits classification in Chinese cities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    17. Olabi, A.G. & Wilberforce, Tabbi & Abdelkareem, Mohammad Ali, 2021. "Fuel cell application in the automotive industry and future perspective," Energy, Elsevier, vol. 214(C).
    18. Huo, Tengfei & Xu, Linbo & Feng, Wei & Cai, Weiguang & Liu, Bingsheng, 2021. "Dynamic scenario simulations of carbon emission peak in China's city-scale urban residential building sector through 2050," Energy Policy, Elsevier, vol. 159(C).
    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. Qiuyi Wu, 2023. "Theoretical Evaluation of Photovoltaic Thermal Water Source Heat Pump, Application Potential and Policy Implications: Evidence from Yangtze River Economic Belt, China," Sustainability, MDPI, vol. 15(18), pages 1-22, September.
    2. Chen Zhao & Jiaxuan Zhu & Zhiyao Xu & Yixuan Wang & Bin Liu & Lu Yuan & Xiaowen Wang & Jiali Xiong & Yiming Zhao, 2022. "The Effect of Air Pollution Control Auditing on Reducing Carbon Emissions: Evidence from China," IJERPH, MDPI, vol. 19(24), pages 1-15, December.
    3. Dai, Yuanhang & Hao, Junhong & Wang, Xingce & Chen, Lei & Chen, Qun & Du, Xiaoze, 2022. "A comprehensive model and its optimal dispatch of an integrated electrical-thermal system with multiple heat sources," Energy, Elsevier, vol. 261(PA).
    4. Sabina-Cristiana Necula, 2023. "Assessing the Potential of Artificial Intelligence in Advancing Clean Energy Technologies in Europe: A Systematic Review," Energies, MDPI, vol. 16(22), pages 1-24, November.
    5. Hao, Junhong & Tian, Liang & Yang, Yunxi & Feng, Xiaolong & Liang, Lu & Hong, Feng & Du, Xiaoze, 2024. "A novel asynchronous time-scale holistic control method for heating system based on the energy state space," Energy, Elsevier, vol. 290(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. Jiehui Yuan & Wenli Yuan & Juan Yuan & Zhihong Liu & Jia Liao & Xunmin Ou, 2023. "Policy Recommendations for Distributed Solar PV Aiming for a Carbon-Neutral Future," Sustainability, MDPI, vol. 15(4), pages 1-16, February.
    2. Du, Hua & Han, Qi & de Vries, Bauke & Sun, Jun, 2024. "Community solar PV adoption in residential apartment buildings: A case study on influencing factors and incentive measures in Wuhan," Applied Energy, Elsevier, vol. 354(PA).
    3. Chong, Shijia & Wu, Jing & Chang, I-Shin, 2024. "Cost accounting and economic competitiveness evaluation of photovoltaic power generation in China —— based on the system levelized cost of electricity," Renewable Energy, Elsevier, vol. 222(C).
    4. Wu, Di & Han, Zhonghe & Liu, Zhijian & Li, Peng & Ma, Fanfan & Zhang, Han & Yin, Yunxing & Yang, Xinyan, 2021. "Comparative study of optimization method and optimal operation strategy for multi-scenario integrated energy system," Energy, Elsevier, vol. 217(C).
    5. Huo, Tengfei & Ma, Yuling & Xu, Linbo & Feng, Wei & Cai, Weiguang, 2022. "Carbon emissions in China's urban residential building sector through 2060: A dynamic scenario simulation," Energy, Elsevier, vol. 254(PA).
    6. Wang, Lan & Lee, Eric W.M. & Hussian, Syed Asad & Yuen, Anthony Chun Yin & Feng, Wei, 2021. "Quantitative impact analysis of driving factors on annual residential building energy end-use combining machine learning and stochastic methods," Applied Energy, Elsevier, vol. 299(C).
    7. Fuquan Zhao & Fanlong Bai & Xinglong Liu & Zongwei Liu, 2022. "A Review on Renewable Energy Transition under China’s Carbon Neutrality Target," Sustainability, MDPI, vol. 14(22), pages 1-27, November.
    8. Alberto Fichera & Mattia Frasca & Rosaria Volpe, 2020. "A cost-based approach for evaluating the impact of a network of distributed energy systems on the centralized energy supply," Energy & Environment, , vol. 31(1), pages 77-87, February.
    9. Najeeb, A. & Sridharan, S. & Rao, A.B. & Agnihotri, S.B. & Mishra, V., 2024. "Determinants of residential electricity consumption in South, East and South East Asia: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 198(C).
    10. Chen, Han & Chen, Wenying, 2021. "Status, trend, economic and environmental impacts of household solar photovoltaic development in China: Modelling from subnational perspective," Applied Energy, Elsevier, vol. 303(C).
    11. Yang, Ying & Campana, Pietro Elia & Yan, Jinyue, 2020. "Potential of unsubsidized distributed solar PV to replace coal-fired power plants, and profits classification in Chinese cities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    12. Li, Yunwei & Chen, Kui & Ding, Ruixin & Zhang, Jing & Hao, Yu, 2023. "How do photovoltaic poverty alleviation projects relieve household energy poverty? Evidence from China," Energy Economics, Elsevier, vol. 118(C).
    13. Yang, Xiaolin & Liu, Zhaoyang & Xia, Jianjun, 2023. "Optimization and analysis of combined heat and water production system based on a coal-fired power plant," Energy, Elsevier, vol. 262(PB).
    14. Huo, Tengfei & Xu, Linbo & Liu, Bingsheng & Cai, Weiguang & Feng, Wei, 2022. "China’s commercial building carbon emissions toward 2060: An integrated dynamic emission assessment model," Applied Energy, Elsevier, vol. 325(C).
    15. Kayser, Dirk, 2016. "Solar photovoltaic projects in China: High investment risks and the need for institutional response," Applied Energy, Elsevier, vol. 174(C), pages 144-152.
    16. Huo, Tengfei & Cong, Xiaobo & Cheng, Cong & Cai, Weiguang & Zuo, Jian, 2023. "What is the driving mechanism for the carbon emissions in the building sector? An integrated DEMATEL-ISM model," Energy, Elsevier, vol. 274(C).
    17. Sommerfeldt, Nelson & Madani, Hatef, 2017. "Revisiting the techno-economic analysis process for building-mounted, grid-connected solar photovoltaic systems: Part one – Review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1379-1393.
    18. Xu, Bin & Luo, Yuemei & Xu, Renjing & Chen, Jianbao, 2021. "Exploring the driving forces of distributed energy resources in China: Using a semiparametric regression model," Energy, Elsevier, vol. 236(C).
    19. Sun, Tao & Shan, Ming & Rong, Xing & Yang, Xudong, 2022. "Estimating the spatial distribution of solar photovoltaic power generation potential on different types of rural rooftops using a deep learning network applied to satellite images," Applied Energy, Elsevier, vol. 315(C).
    20. Bai, Bo & Xiong, Siqin & Song, Bo & Xiaoming, Ma, 2019. "Economic analysis of distributed solar photovoltaics with reused electric vehicle batteries as energy storage systems in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 213-229.

    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:gam:jijerp:v:18:y:2021:i:24:p:12992-:d:698567. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.