IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v15y2011i1p673-680.html
   My bibliography  Save this article

Major issues and solutions in the heat-metering reform in China

Author

Listed:
  • Liu, Lanbin
  • Fu, Lin
  • Jiang, Yi
  • Guo, Shan

Abstract

Charging heating fees based on floor space in China leaves building developers no economic returns on the investment to weatherize the buildings and install regulation devices with terminal equipment. Therefore, they lack incentives to improve the thermal insulation properties of the buildings. Tenants also lack incentives to efficiently use heat, opening windows to cool down rooms when they are overheated, without concern for the amount of heat wasted. In response, over the past decade, the Chinese government has invested large amounts of resources in an effort to promote energy conservation with heating systems by trying to change the fee method based on floor space to amount of heat used, but with little effect. The major issues related to reform with the heat-metering system are elaborated in this paper by comparing the pros and cons of several metering methods. Firstly, room temperatures are unable to be effectively adjusted using the current methods, meaning that the original intention to save energy cannot be achieved. Secondly, current heat-metering methods are not acceptable to users, which creates its own problems. Heat metering based on households in apartment buildings, the primary living space for Chinese people, causes two problems: the energy consumed by households located at the top or at the corner of buildings is two to three times higher than households located elsewhere within the building; heating fees may increase by 20-30% if surrounding households are not heated. Current metering methods are unable to effectively resolve these two problems, therefore, they are not accepted. To overcome these difficulties, a proper metering and charging method must be developed which is both acceptable to users and able to guarantee good room temperature control at the same time. To achieve this goal, this paper presents a new method: the total heating fee of a building is allocated according to the accumulated on-time as well as the floor space of each household. Not only can this new method control the user behavior of opening windows or setting the starting point too high, but also resolve problems caused by location and heat transfer between households. It is also effective in promoting energy saving by users and appears to be acceptable to users. Survey results show that it is acceptable to a large number of users. It seems that this is the most practical way to reform the current methods for heat metering based on household use.

Suggested Citation

  • Liu, Lanbin & Fu, Lin & Jiang, Yi & Guo, Shan, 2011. "Major issues and solutions in the heat-metering reform in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 673-680, January.
  • Handle: RePEc:eee:rensus:v:15:y:2011:i:1:p:673-680
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364-0321(10)00261-3
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Weker, P. & Mineur, J. M., 1980. "A performance index for thermostatic radiator valves," Applied Energy, Elsevier, vol. 6(3), pages 203-215, May.
    2. Babus'Haq, R. F. & Overgaard, G. & Probert, S. D., 1996. "Heat-meter developments for CHP-DH networks," Applied Energy, Elsevier, vol. 53(1-2), pages 193-207.
    3. Li, Baizhan & Yao, Runming, 2009. "Urbanisation and its impact on building energy consumption and efficiency in China," Renewable Energy, Elsevier, vol. 34(9), pages 1994-1998.
    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. Liu, Lanbin, 2015. "Major issues and solutions in the management system of space heating system in North China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 221-231.
    2. Xiong, Weiming & Wang, Yu & Mathiesen, Brian Vad & Lund, Henrik & Zhang, Xiliang, 2015. "Heat roadmap China: New heat strategy to reduce energy consumption towards 2030," Energy, Elsevier, vol. 81(C), pages 274-285.
    3. Liu, Guoqiang & Zhou, Xuan & Yan, Junwei & Yan, Gang, 2021. "A temperature and time-sharing dynamic control approach for space heating of buildings in district heating system," Energy, Elsevier, vol. 221(C).
    4. Meng, Ming & Mander, Sarah & Zhao, Xiaoli & Niu, Dongxiao, 2016. "Have market-oriented reforms improved the electricity generation efficiency of China's thermal power industry? An empirical analysis," Energy, Elsevier, vol. 114(C), pages 734-741.
    5. Gong, Mei & Werner, Sven, 2015. "An assessment of district heating research in China," Renewable Energy, Elsevier, vol. 84(C), pages 97-105.
    6. Muniak, Damian Piotr, 2014. "A new methodology to determine the pre-setting of the control valve in a heating installation. A general model," Applied Energy, Elsevier, vol. 135(C), pages 35-42.
    7. Lin, Jing & Lin, Boqiang, 2018. "Heat tariff and subsidy in China based on heat cost analysis," Energy Economics, Elsevier, vol. 71(C), pages 411-420.
    8. Eun Ju Lee & Moon Joon Kim & Jae-Seung Lee, 2021. "Policy Implications of the Clean Heating Transition: A Case Study of Shanxi," Energies, MDPI, vol. 14(24), pages 1-25, December.
    9. Liu, Zhikai & Zhang, Huang & Wang, Yaran & Fan, Xianwang & You, Shijun & Li, Ang, 2023. "Data-driven predictive model for feedback control of supply temperature in buildings with radiator heating system," Energy, Elsevier, vol. 280(C).
    10. Lo, Kevin, 2013. "Energy conservation in China's higher educationinstitutions," Energy Policy, Elsevier, vol. 56(C), pages 703-710.
    11. Wang, Manyu & Huang, Ying & An, Zidong & Wei, Chu, 2023. "Reforming the world's largest heating system: Quasi-experimental evidence from China," Energy Economics, Elsevier, vol. 117(C).
    12. Zhang, Lipeng & Xia, Jianjun & Thorsen, Jan Eric & Gudmundsson, Oddgeir & Li, Hongwei & Svendsen, Svend, 2016. "Technical, economic and environmental investigation of using district heating to prepare domestic hot water in Chinese multi-storey buildings," Energy, Elsevier, vol. 116(P1), pages 281-292.
    13. Zhang, Lipeng & Gudmundsson, Oddgeir & Thorsen, Jan Eric & Li, Hongwei & Li, Xiaopeng & Svendsen, Svend, 2016. "Method for reducing excess heat supply experienced in typical Chinese district heating systems by achieving hydraulic balance and improving indoor air temperature control at the building level," Energy, Elsevier, vol. 107(C), pages 431-442.
    14. Lo, Kevin, 2014. "A critical review of China's rapidly developing renewable energy and energy efficiency policies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 508-516.
    15. Werner, Sven, 2017. "International review of district heating and cooling," Energy, Elsevier, vol. 137(C), pages 617-631.
    16. Calise, F. & Cappiello, F. & D'Agostino, D. & Vicidomini, M., 2021. "Heat metering for residential buildings: A novel approach through dynamic simulations for the calculation of energy and economic savings," Energy, Elsevier, vol. 234(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. Muniak, Damian Piotr, 2014. "A new methodology to determine the pre-setting of the control valve in a heating installation. A general model," Applied Energy, Elsevier, vol. 135(C), pages 35-42.
    2. Costanzo, Vincenzo & Yao, Runming & Xu, Tiantian & Xiong, Jie & Zhang, Qiulei & Li, Baizhan, 2019. "Natural ventilation potential for residential buildings in a densely built-up and highly polluted environment. A case study," Renewable Energy, Elsevier, vol. 138(C), pages 340-353.
    3. Dong Jichang & He Jing & Li Xiuting & Mou Xindi & Dong Zhi, 2020. "The Effect of Industrial Structure Change on Carbon Dioxide Emissions: A Cross-Country Panel Analysis," Journal of Systems Science and Information, De Gruyter, vol. 8(1), pages 1-16, February.
    4. Seyedmohammadreza Heibati & Wahid Maref & Hamed H. Saber, 2019. "Assessing the Energy and Indoor Air Quality Performance for a Three-Story Building Using an Integrated Model, Part One: The Need for Integration," Energies, MDPI, vol. 12(24), pages 1-18, December.
    5. Tian, Shuai & Yang, Guoqiang & Du, Sihong & Zhuang, Dian & Zhu, Ke & Zhou, Xin & Jin, Xing & Ye, Yu & Li, Peixian & Shi, Xing, 2024. "An innovative method for evaluating the urban roof photovoltaic potential based on open-source satellite images," Renewable Energy, Elsevier, vol. 224(C).
    6. Yu, Sha & Eom, Jiyong & Evans, Meredydd & Clarke, Leon, 2014. "A long-term, integrated impact assessment of alternative building energy code scenarios in China," Energy Policy, Elsevier, vol. 67(C), pages 626-639.
    7. Nizar Harrathi & Ahmed Almohaimeed, 2022. "Determinants of Carbon Dioxide Emissions: New Empirical Evidence from MENA Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 12(1), pages 469-482.
    8. 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.
    9. Barra, Cristian & Zotti, Roberto, 2016. "Investigating the impact of national income on environmental pollution. International evidence," MPRA Paper 74149, University Library of Munich, Germany.
    10. Zhang, Jiefeng & Bai, Zhipeng & Chang, Victor W.C. & Ding, Xiao, 2011. "Balancing BEC and IAQ in civil buildings during rapid urbanization in China: Regulation, interplay and collaboration," Energy Policy, Elsevier, vol. 39(10), pages 5778-5790, October.
    11. Cristian Barra & Roberto Zotti, 2018. "Investigating the non-linearity between national income and environmental pollution: international evidence of Kuznets curve," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(1), pages 179-210, January.
    12. Peeraya Inyim & Mostafa Batouli & Maria Presa Reyes & Triana Carmenate & Leonardo Bobadilla & Ali Mostafavi, 2018. "A Smartphone Application for Personalized and Multi-Method Interventions toward Energy Saving in Buildings," Sustainability, MDPI, vol. 10(6), pages 1-19, May.
    13. Constantin-Marius APOSTOAIE & Costica MIHAI & Alexandru MAXIM, 2015. "A Bibliometric Analysis On Eu And Global Research On The Environmental Impact Of Cities," EURINT, Centre for European Studies, Alexandru Ioan Cuza University, vol. 2, pages 9-20.
    14. Zhao, Dong-Xue & He, Bao-Jie & Johnson, Christine & Mou, Ben, 2015. "Social problems of green buildings: From the humanistic needs to social acceptance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1594-1609.
    15. Moazeni, Faegheh & Khazaei, Javad, 2021. "Optimal design and operation of an islanded water-energy network including a combined electrodialysis-reverse osmosis desalination unit," Renewable Energy, Elsevier, vol. 167(C), pages 395-408.
    16. Al-mulali, Usama & Binti Che Sab, Che Normee & Fereidouni, Hassan Gholipour, 2012. "Exploring the bi-directional long run relationship between urbanization, energy consumption, and carbon dioxide emission," Energy, Elsevier, vol. 46(1), pages 156-167.
    17. Fu, Xueqian & Zhang, Xiurong, 2019. "Estimation of building energy consumption using weather information derived from photovoltaic power plants," Renewable Energy, Elsevier, vol. 130(C), pages 130-138.
    18. Ahmed WA Hammad & Ali Akbarnezhad & Assed Haddad & Elaine Garrido Vazquez, 2019. "Sustainable Zoning, Land-Use Allocation and Facility Location Optimisation in Smart Cities," Energies, MDPI, vol. 12(7), pages 1-23, April.
    19. Malik, Afia, 2019. "Dynamics and Determinants of Energy Intensity: Evidence from Pakistan," MPRA Paper 103456, University Library of Munich, Germany.
    20. Li, Ke & Lin, Boqiang, 2015. "Impacts of urbanization and industrialization on energy consumption/CO2 emissions: Does the level of development matter?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1107-1122.

    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:rensus:v:15:y:2011:i:1:p:673-680. 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/wps/find/journaldescription.cws_home/600126/description#description .

    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.