IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i22p4293-d285740.html
   My bibliography  Save this article

Creating Statistics for China’s Building Energy Consumption Using an Adapted Energy Balance Sheet

Author

Listed:
  • Mingshun Zhang

    (School of Environment and Energy Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China)

  • Xuan Ge

    (School of Environment and Energy Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China)

  • Ya Zhao

    (School of Construction Management and Real Estate, Chongqing University, Chongqing 400044, China)

  • Chun Xia-Bauer

    (Wuppertal Institute for Climate, Environment and Energy, 42103 Wuppertal, Germany)

Abstract

China’s regular energy statistics does not include the building sector, and data on building energy demand is included in other types of energy consumption in the Energy Balance Sheet (EBS). Therefore data on building energy demand is not collected based on statistics, but rather calculated or estimated by various approaches in China. This study aims at developing and testing China’s building energy statistics by applying an adapted EBS. The advantage of the adapted EBS is that statistical data is from the regular statistical system and no additional statistical efforts are needed. The research result shows that the adapted EBS can be included in China regular energy statistical system and can be standardized in a transparent way. Testing of the adapted EBS shows that China’s building energy demand has shown an annual increase of 7.6% since 2001, and a lower contribution to the total energy demand as compared to the developed world. There is also a close link to lifestyle and living standard while industrial energy demand is mainly driven by economy and decoupling of building energy demand with increasing of building floor area, this is due to a considerable improvement of building energy efficiency. The adapted EBS creates a method for China conducting statistics of building energy consumption at the sector level in a uniform way and serves as the basis for any sound building energy efficiency policy decisions.

Suggested Citation

  • Mingshun Zhang & Xuan Ge & Ya Zhao & Chun Xia-Bauer, 2019. "Creating Statistics for China’s Building Energy Consumption Using an Adapted Energy Balance Sheet," Energies, MDPI, vol. 12(22), pages 1-15, November.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:22:p:4293-:d:285740
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/22/4293/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/22/4293/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Zhang, Mingshun & Wang, Mujie & Jin, Wei & Xia-Bauer, Chun, 2018. "Managing energy efficiency of buildings in China: A survey of energy performance contracting (EPC) in building sector," Energy Policy, Elsevier, vol. 114(C), pages 13-21.
    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. Ling Yang & Kai Zhao & Yankai Zhao & Mengyuan Zhong, 2021. "Identifying Key Factors in Determining Disparities in Energy Consumption in China: A Household Level Analysis," Energies, MDPI, vol. 14(21), pages 1-20, November.
    2. Ying Liu & Depeng Chen & Jinxian Wang & Mingfeng Dai, 2023. "Energy-Saving and Ecological Renovation of Existing Urban Buildings in Severe Cold Areas: A Case Study," Sustainability, MDPI, vol. 15(17), pages 1-13, August.
    3. Christos Tzivanidis & Evangelos Bellos, 2020. "A Comparative Study of Solar-Driven Trigeneration Systems for the Building Sector," Energies, MDPI, vol. 13(8), pages 1-21, April.
    4. Na, Wei & Wang, Mingming, 2022. "A Bayesian approach with urban-scale energy model to calibrate building energy consumption for space heating: A case study of application in Beijing," Energy, Elsevier, vol. 247(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. Feng, Zongbao & Wu, Xianguo & Chen, Hongyu & Qin, Yawei & Zhang, Limao & Skibniewski, Miroslaw J., 2022. "An energy performance contracting parameter optimization method based on the response surface method: A case study of a metro in China," Energy, Elsevier, vol. 248(C).
    2. Yu, Sha & Tan, Qing & Evans, Meredydd & Kyle, Page & Vu, Linh & Patel, Pralit L., 2017. "Improving building energy efficiency in India: State-level analysis of building energy efficiency policies," Energy Policy, Elsevier, vol. 110(C), pages 331-341.
    3. Antonella Biscione & Annunziata de Felice & Teodoro Gallucci, 2022. "Energy Saving in Transition Economies: Environmental Activities in Manufacturing Firms," Sustainability, MDPI, vol. 14(7), pages 1-17, March.
    4. Ruparathna, Rajeev & Hewage, Kasun & Sadiq, Rehan, 2016. "Improving the energy efficiency of the existing building stock: A critical review of commercial and institutional buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1032-1045.
    5. Wu, Qingyang & Wang, Yanying, 2022. "How does carbon emission price stimulate enterprises' total factor productivity? Insights from China's emission trading scheme pilots," Energy Economics, Elsevier, vol. 109(C).
    6. Ji, Changyoon & Hong, Taehoon & Kim, Hakpyeong, 2022. "Statistical analysis of greenhouse gas emissions of South Korean residential buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    7. Younghoon Kwak & Jeong-A Kang & Jung-Ho Huh & Tae-Hyoung Kim & Young-Sun Jeong, 2019. "An Analysis of the Effectiveness of Greenhouse Gas Reduction Policy for Office Building Design in South Korea," Sustainability, MDPI, vol. 11(24), pages 1-25, December.
    8. Wei Zhou & Alice Moncaster & David M Reiner & Peter Guthrie, 2019. "Estimating Lifetimes and Stock Turnover Dynamics of Urban Residential Buildings in China," Sustainability, MDPI, vol. 11(13), pages 1-18, July.
    9. Jizhong Shao & Huixian Chen & Ting Zhu, 2016. "Solar Energy Block-Based Residential Construction for Rural Areas in the West of China," Sustainability, MDPI, vol. 8(4), pages 1-21, April.
    10. Wang, Zhenfeng & Xu, Guangyin & Lin, Ruojue & Wang, Heng & Ren, Jingzheng, 2019. "Energy performance contracting, risk factors, and policy implications: Identification and analysis of risks based on the best-worst network method," Energy, Elsevier, vol. 170(C), pages 1-13.
    11. Zhaoxia Wang & Jing Zhao, 2018. "Optimization of Passive Envelop Energy Efficient Measures for Office Buildings in Different Climate Regions of China Based on Modified Sensitivity Analysis," Sustainability, MDPI, vol. 10(4), pages 1-28, March.
    12. Berardi, Umberto, 2017. "A cross-country comparison of the building energy consumptions and their trends," Resources, Conservation & Recycling, Elsevier, vol. 123(C), pages 230-241.
    13. Modeste, Kameni Nematchoua & Mempouo, Blaise & René, Tchinda & Costa, Ángel M. & Orosa, José A. & Raminosoa, Chrysostôme R.R. & Mamiharijaona, Ramaroson, 2015. "Resource potential and energy efficiency in the buildings of Cameroon: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 835-846.
    14. Shang, Tiancheng & Yang, Lan & Liu, Peihong & Shang, Kaiti & Zhang, Yan, 2020. "Financing mode of energy performance contracting projects with carbon emissions reduction potential and carbon emissions ratings," Energy Policy, Elsevier, vol. 144(C).
    15. Yinan Li & Neng Zhu & Beibei Qin, 2019. "What Affects the Progress and Transformation of New Residential Building Energy Efficiency Promotion in China: Stakeholders’ Perceptions," Energies, MDPI, vol. 12(6), pages 1-41, March.
    16. Wang, Lining & Patel, Pralit L. & Yu, Sha & Liu, Bo & McLeod, Jeff & Clarke, Leon E. & Chen, Wenying, 2016. "Win–Win strategies to promote air pollutant control policies and non-fossil energy target regulation in China," Applied Energy, Elsevier, vol. 163(C), pages 244-253.
    17. Wang, Hong & Sun, Fubao & Wang, Tingting & Liu, Wenbin, 2018. "Estimation of daily and monthly diffuse radiation from measurements of global solar radiation a case study across China," Renewable Energy, Elsevier, vol. 126(C), pages 226-241.
    18. Du, Ping & Zheng, Li-Qun & Xie, Bai-Chen & Mahalingam, Arjun, 2014. "Barriers to the adoption of energy-saving technologies in the building sector: A survey study of Jing-jin-tang, China," Energy Policy, Elsevier, vol. 75(C), pages 206-216.
    19. Yinan Li & Neng Zhu & Beibei Qin, 2019. "Target Setting Outlook for New Residential Building Energy Efficiency Promotion in China: A Frontline Perspective Using Delphi," Energies, MDPI, vol. 12(9), pages 1-29, April.
    20. Wenjie Zhang & Hongping Yuan, 2019. "A Bibliometric Analysis of Energy Performance Contracting Research from 2008 to 2018," Sustainability, MDPI, vol. 11(13), pages 1-23, June.

    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:jeners:v:12:y:2019:i:22:p:4293-:d:285740. 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.