IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v307y2024ics0360544224025520.html
   My bibliography  Save this article

Distributed multienergy and low-carbon heating technology for rural areas in northern China

Author

Listed:
  • Qi, Haijie
  • Zhou, Jianhui
  • Ren, Tong
  • Sun, Shumin
  • He, Zhiyuan
  • Sun, Zhili
  • Dong, Shengming
  • Zheng, Chenxiao
  • Xu, Chunwei
  • Hou, Fumin

Abstract

In the context of China's “double carbon” policy and “rural revitalization” strategy, clean and low-carbon heating in rural areas of the northern China has become a key problem that needs to be urgently addressed. Practice has proved that “coal-to-gas” and “coal-to-electricity” projects have various limitations, such as high operating cost, high carbon emission, and high cost of distribution network upgrade, making them unsuitable for nationwide promotion. To address this issue, this research proposes a distributed multienergy and low-carbon heating (DMLH) system, which integrates the photovoltaic power generation, combined heat and power (CHP) system, heat storage, and newly developed multisource efficient heat pump (MEHP). The MEHP operates by simultaneously absorbing heat from air and waste heat sources of the CHP generation, providing a stable and efficient heat output. The multienergy complementary operating strategy of the DMLH system has been presented, considering variations of heating demand and environmental temperature. Comprehensive case studies were performed under typical and extremely cold winter scenarios to examine the effectiveness of the DMLH system. Simulation results revealed that 66.7 % of the operating cost can be reduced by the proposed system in typical scenario and the heat supply stability of MEHP has been considerably enhanced compared to a single-stage heat pump system. Furthermore, the DMLH system has low-level requirement of distribution network capability, which is conducive to promotion in the rural areas of northern China.

Suggested Citation

  • Qi, Haijie & Zhou, Jianhui & Ren, Tong & Sun, Shumin & He, Zhiyuan & Sun, Zhili & Dong, Shengming & Zheng, Chenxiao & Xu, Chunwei & Hou, Fumin, 2024. "Distributed multienergy and low-carbon heating technology for rural areas in northern China," Energy, Elsevier, vol. 307(C).
  • Handle: RePEc:eee:energy:v:307:y:2024:i:c:s0360544224025520
    DOI: 10.1016/j.energy.2024.132778
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224025520
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2024.132778?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. Mallier, Lise & Hétreux, Gilles & Thery-Hétreux, Raphaele & Baudet, Philippe, 2021. "A modelling framework for energy system planning: Application to CHP plants participating in the electricity market," Energy, Elsevier, vol. 214(C).
    2. Nicoletti, Francesco & Cucumo, Mario Antonio & Arcuri, Natale, 2023. "Building-integrated photovoltaics (BIPV): A mathematical approach to evaluate the electrical production of solar PV blinds," Energy, Elsevier, vol. 263(PD).
    3. Han, Jiashi & Zhang, Lei & Li, Yang, 2022. "Spatiotemporal analysis of rural energy transition and upgrading in developing countries: The case of China," Applied Energy, Elsevier, vol. 307(C).
    4. Su, Xing & Xu, Zehan & Tian, Shaochen & Chen, Chaoyang & Huang, Yixiang & Geng, Yining & Chen, Junfeng, 2023. "Life cycle assessment of three typical solar energy utilization systems in different regions of China," Energy, Elsevier, vol. 278(C).
    5. Xu, Xin & You, Shijun & Zheng, Xuejing & Li, Han, 2014. "A survey of district heating systems in the heating regions of northern China," Energy, Elsevier, vol. 77(C), pages 909-925.
    6. Obalanlege, Mustapha A. & Xu, Jingyuan & Markides, Christos N. & Mahmoudi, Yasser, 2022. "Techno-economic analysis of a hybrid photovoltaic-thermal solar-assisted heat pump system for domestic hot water and power generation," Renewable Energy, Elsevier, vol. 196(C), pages 720-736.
    7. Du, Binglin & Liu, Pei & Li, Zheng, 2023. "Coal power plants transition based on joint planning of power and central heating sectors: A case study of China," Energy, Elsevier, vol. 283(C).
    8. Zhang, Xingxing & Shen, Jingchun & Xu, Peng & Zhao, Xudong & Xu, Ying, 2014. "Socio-economic performance of a novel solar photovoltaic/loop-heat-pipe heat pump water heating system in three different climatic regions," Applied Energy, Elsevier, vol. 135(C), pages 20-34.
    9. Izadyar, Nima & Ghadamian, Hossein & Ong, Hwai Chyuan & moghadam, Zeinab & Tong, Chong Wen & Shamshirband, Shahaboddin, 2015. "Appraisal of the support vector machine to forecast residential heating demand for the District Heating System based on the monthly overall natural gas consumption," Energy, Elsevier, vol. 93(P2), pages 1558-1567.
    10. Jin, Baohong, 2023. "Impact of renewable energy penetration in power systems on the optimization and operation of regional distributed energy systems," Energy, Elsevier, vol. 273(C).
    11. Best, Isabelle & Braas, Hagen & Orozaliev, Janybek & Jordan, Ulrike & Vajen, Klaus, 2020. "Systematic investigation of building energy efficiency standard and hot water preparation systems’ influence on the heat load profile of districts," Energy, Elsevier, vol. 197(C).
    12. Zhang, Hongwei & Geng, Xudong & Shao, Shuangquan & Si, Chunqiang & Wang, Zhichao, 2022. "Performance analysis of a R134a/CO2 cascade heat pump in severe cold regions of China," Energy, Elsevier, vol. 239(PE).
    13. Ji, Ling & Liang, Xiaolin & Xie, Yulei & Huang, Guohe & Wang, Bing, 2021. "Optimal design and sensitivity analysis of the stand-alone hybrid energy system with PV and biomass-CHP for remote villages," Energy, Elsevier, vol. 225(C).
    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. Lee, Jae Yong & Yim, Taesu, 2021. "Energy and flow demand analysis of domestic hot water in an apartment complex using a smart meter," Energy, Elsevier, vol. 229(C).
    2. Ahn, Jonghoon & Chung, Dae Hun & Cho, Soolyeon, 2018. "Energy cost analysis of an intelligent building network adopting heat trading concept in a district heating model," Energy, Elsevier, vol. 151(C), pages 11-25.
    3. Xiaoyu Gao & Chengying Qi & Guixiang Xue & Jiancai Song & Yahui Zhang & Shi-ang Yu, 2020. "Forecasting the Heat Load of Residential Buildings with Heat Metering Based on CEEMDAN-SVR," Energies, MDPI, vol. 13(22), pages 1-19, November.
    4. Eid Gul & Giorgio Baldinelli & Pietro Bartocci, 2022. "Energy Transition: Renewable Energy-Based Combined Heat and Power Optimization Model for Distributed Communities," Energies, MDPI, vol. 15(18), pages 1-18, September.
    5. Benakopoulos, Theofanis & Tunzi, Michele & Salenbien, Robbe & Vanhoudt, Dirk & Svendsen, Svend, 2021. "Low return temperature from domestic hot-water system based on instantaneous heat exchanger with chemical-based disinfection solution," Energy, Elsevier, vol. 215(PB).
    6. Ma, Chenshuo & Zhang, Yifei & Ma, Keni & Li, Chanyun, 2023. "Study on the relationship between service scale and investment cost of energy service stations," Energy, Elsevier, vol. 269(C).
    7. Magnus Dahl & Adam Brun & Oliver S. Kirsebom & Gorm B. Andresen, 2018. "Improving Short-Term Heat Load Forecasts with Calendar and Holiday Data," Energies, MDPI, vol. 11(7), pages 1-16, June.
    8. Younessi, Hiva Seyed & Bahramara, Salah & Adabi, Farid & Golpîra, Hêmin, 2023. "Modeling the optimal sizing problem of the biogas-based electrical generator in a livestock farm considering a gas storage tank and the anaerobic digester process under the uncertainty of cow dung," Energy, Elsevier, vol. 270(C).
    9. Yong-Wu Zhou & Chuanying Chen & Yuanguang Zhong & Bin Cao, 2020. "The allocation optimization of promotion budget and traffic volume for an online flash-sales platform," Annals of Operations Research, Springer, vol. 291(1), pages 1183-1207, August.
    10. Xue, Puning & Zhou, Zhigang & Fang, Xiumu & Chen, Xin & Liu, Lin & Liu, Yaowen & Liu, Jing, 2017. "Fault detection and operation optimization in district heating substations based on data mining techniques," Applied Energy, Elsevier, vol. 205(C), pages 926-940.
    11. Xiwen Cui & Xinyu Guan & Dongyu Wang & Dongxiao Niu & Xiaomin Xu, 2022. "Can China Meet Its 2030 Total Energy Consumption Target? Based on an RF-SSA-SVR-KDE Model," Energies, MDPI, vol. 15(16), pages 1-13, August.
    12. Gong, Mingju & Zhao, Yin & Sun, Jiawang & Han, Cuitian & Sun, Guannan & Yan, Bo, 2022. "Load forecasting of district heating system based on Informer," Energy, Elsevier, vol. 253(C).
    13. Chang, Huayi & Zhang, Junbiao, 2024. "Income growth versus labor loss: The joint impacts of rural-urban migration and off-farm employment on household energy use in rural China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 203(C).
    14. Yuan, Shengxi & Stainsby, Wendell & Li, Mo & Xu, Kewei & Waite, Michael & Zimmerle, Dan & Feiock, Richard & Ramaswami, Anu & Modi, Vijay, 2019. "Future energy scenarios with distributed technology options for residential city blocks in three climate regions of the United States," Applied Energy, Elsevier, vol. 237(C), pages 60-69.
    15. Zhao, Yin & Gong, Mingju & Sun, Jiawang & Han, Cuitian & Jing, Lei & Li, Bo & Zhao, Zhixuan, 2023. "A new hybrid optimization prediction strategy based on SH-Informer for district heating system," Energy, Elsevier, vol. 282(C).
    16. Østergaard, Dorte Skaarup & Tunzi, Michele & Svendsen, Svend, 2021. "What does a well-functioning heating system look like? Investigation of ten Danish buildings that utilize district heating efficiently," Energy, Elsevier, vol. 227(C).
    17. Tie-zhi Li & Pan Du & Xin-ping Wang & Chang Su, 2024. "Rural energy transition in the context of rural revitalization and carbon neutrality: improved multi-criteria-based decision-making," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 29(5), pages 1-24, June.
    18. Wang, Lunche & Qiu, Tianzhi & Zhang, Ming & Cao, Qian & Qin, Wenmin & Wang, Shaoqiang & Wang, Lizhe & Chen, Deliang & Wild, Martin, 2024. "Carbon emissions and reduction performance of photovoltaic systems in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 200(C).
    19. Beyca, Omer Faruk & Ervural, Beyzanur Cayir & Tatoglu, Ekrem & Ozuyar, Pinar Gokcin & Zaim, Selim, 2019. "Using machine learning tools for forecasting natural gas consumption in the province of Istanbul," Energy Economics, Elsevier, vol. 80(C), pages 937-949.
    20. Hirvonen, Janne & Kayo, Genku & Hasan, Ala & Sirén, Kai, 2016. "Zero energy level and economic potential of small-scale building-integrated PV with different heating systems in Nordic conditions," Applied Energy, Elsevier, vol. 167(C), pages 255-269.

    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:307:y:2024:i:c:s0360544224025520. 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.