IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i8p6931-d1128191.html
   My bibliography  Save this article

Research on Envelope Thermal Performance of Ultra-Low Energy Rural Residential Buildings in China

Author

Listed:
  • Qinqin Deng

    (State Key Laboratory of Building Safety and Environment, China Academy of Building Research, Beijing100013, China)

  • Shengnan Zhang

    (State Key Laboratory of Building Safety and Environment, China Academy of Building Research, Beijing100013, China)

  • Ming Shan

    (Department of Building Science, Tsinghua University, Beijing 100084, China)

  • Ji Li

    (State Key Laboratory of Building Safety and Environment, China Academy of Building Research, Beijing100013, China)

Abstract

Rural energy consumption plays an important role in energy consumption due to the improvement of rural residents’ living quality requirements in China. Ultra-low energy rural residential buildings are proposed to decrease rural energy consumption. First of all, this paper aims to provide the definition of ultra-low energy rural residential buildings, which is to reduce 50% of the building energy consumption of the rural residential benchmark building according to the Chinese standard for energy efficiency of rural residential buildings. Secondly, this paper presents the heat transfer coefficients of building envelopes of ultra-low energy rural residential buildings in the severe cold zone, cold zone and hot summer and cold winter zone in China. Based on optimized design and simulation analysis, the heat transfer coefficients of building envelopes are determined by the construction cost, energy efficiency and retrofit feasibility. Thirdly, the suitable combination of a high-performance external wall and internal wall is recommended based on carbon emission and cost efficiency. As an achievement, a technical specification for ultra-low energy rural buildings has been proposed by the China Academy of Building Research. It is beneficial to design ultra-low energy rural residential buildings in China and other countries.

Suggested Citation

  • Qinqin Deng & Shengnan Zhang & Ming Shan & Ji Li, 2023. "Research on Envelope Thermal Performance of Ultra-Low Energy Rural Residential Buildings in China," Sustainability, MDPI, vol. 15(8), pages 1-15, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:8:p:6931-:d:1128191
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/8/6931/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/8/6931/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Li, Danny H.W. & Yang, Liu & Lam, Joseph C., 2013. "Zero energy buildings and sustainable development implications – A review," Energy, Elsevier, vol. 54(C), pages 1-10.
    2. Chang, Yuan & Ries, Robert J. & Wang, Yaowu, 2013. "Life-cycle energy of residential buildings in China," Energy Policy, Elsevier, vol. 62(C), pages 656-664.
    3. He, Bao-jie & Yang, Li & Ye, Miao & Mou, Ben & Zhou, Yanan, 2014. "Overview of rural building energy efficiency in China," Energy Policy, Elsevier, vol. 69(C), pages 385-396.
    4. Miah, Md. Danesh & Kabir, Rashel Rana Mohammad Sirajul & Koike, Masao & Akther, Shalina & Yong Shin, Man, 2010. "Rural household energy consumption pattern in the disregarded villages of Bangladesh," Energy Policy, Elsevier, vol. 38(2), pages 997-1003, February.
    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. Zhong Xu & Siqi Tang & Xiaoqi Wang & Yuhao Chen & Hangyu Luo, 2024. "Greenness Evaluation of Rural Residential Buildings Based on the Composite Perspective of Environment–Building–Resources," Sustainability, MDPI, vol. 16(16), pages 1-24, August.

    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. Liu, Zhijian & Liu, Yuanwei & He, Bao-Jie & Xu, Wei & Jin, Guangya & Zhang, Xutao, 2019. "Application and suitability analysis of the key technologies in nearly zero energy buildings in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 329-345.
    2. Liu, Zhijian & Zhou, Qingxu & Tian, Zhiyong & He, Bao-jie & Jin, Guangya, 2019. "A comprehensive analysis on definitions, development, and policies of nearly zero energy buildings in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    3. Guozhong Zheng & Wentao Bu, 2018. "Review of Heating Methods for Rural Houses in China," Energies, MDPI, vol. 11(12), pages 1-18, December.
    4. Wang, Chengchao & Yang, Yusheng & Zhang, Yaoqi, 2012. "Rural household livelihood change, fuelwood substitution, and hilly ecosystem restoration: Evidence from China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2475-2482.
    5. Rahman, Md. Mizanur & Hasan, Mohammad Mahmodul & Paatero, Jukka V. & Lahdelma, Risto, 2014. "Hybrid application of biogas and solar resources to fulfill household energy needs: A potentially viable option in rural areas of developing countries," Renewable Energy, Elsevier, vol. 68(C), pages 35-45.
    6. Deng, S. & Wang, R.Z. & Dai, Y.J., 2014. "How to evaluate performance of net zero energy building – A literature research," Energy, Elsevier, vol. 71(C), pages 1-16.
    7. Michael-Allan Millar & Bruce Elrick & Greg Jones & Zhibin Yu & Neil M. Burnside, 2020. "Roadblocks to Low Temperature District Heating," Energies, MDPI, vol. 13(22), pages 1-21, November.
    8. Joanna Rucińska & Anna Komerska & Jerzy Kwiatkowski, 2020. "Preliminary Study on the GWP Benchmark of Office Buildings in Poland Using the LCA Approach," Energies, MDPI, vol. 13(13), pages 1-18, June.
    9. Pikas, Ergo & Thalfeldt, Martin & Kurnitski, Jarek & Liias, Roode, 2015. "Extra cost analyses of two apartment buildings for achieving nearly zero and low energy buildings," Energy, Elsevier, vol. 84(C), pages 623-633.
    10. Arabatzis, Garyfallos & Petridis, Konstantinos & Galatsidas, Spyros & Ioannou, Konstantinos, 2013. "A demand scenario based fuelwood supply chain: A conceptual model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 687-697.
    11. Gao, Jiajia & Li, Anbang & Xu, Xinhua & Gang, Wenjie & Yan, Tian, 2018. "Ground heat exchangers: Applications, technology integration and potentials for zero energy buildings," Renewable Energy, Elsevier, vol. 128(PA), pages 337-349.
    12. Zhang, Yang & Yan, Da & Hu, Shan & Guo, Siyue, 2019. "Modelling of energy consumption and carbon emission from the building construction sector in China, a process-based LCA approach," Energy Policy, Elsevier, vol. 134(C).
    13. Fan, Cheng & Huang, Gongsheng & Sun, Yongjun, 2018. "A collaborative control optimization of grid-connected net zero energy buildings for performance improvements at building group level," Energy, Elsevier, vol. 164(C), pages 536-549.
    14. Noro, M. & Lazzarin, R.M., 2014. "Solar cooling between thermal and photovoltaic: An energy and economic comparative study in the Mediterranean conditions," Energy, Elsevier, vol. 73(C), pages 453-464.
    15. Li, Danny H.W. & Lou, Siwei, 2018. "Review of solar irradiance and daylight illuminance modeling and sky classification," Renewable Energy, Elsevier, vol. 126(C), pages 445-453.
    16. Jia, Shuning & Sheng, Kai & Huang, Dehai & Hu, Kai & Xu, Yizhe & Yan, Chengchu, 2023. "Design optimization of energy systems for zero energy buildings based on grid-friendly interaction with smart grid," Energy, Elsevier, vol. 284(C).
    17. Jovanović, Marina & Vučićević, Biljana & Turanjanin, Valentina & Živković, Marija & Spasojević, Vuk, 2014. "Investigation of indoor and outdoor air quality of the classrooms at a school in Serbia," Energy, Elsevier, vol. 77(C), pages 42-48.
    18. Wen, Hong-xing & Wang, Chan & Nie, Pu-yan, 2021. "Acceleration of rural households’ conversion to cleaner cooking fuels: The importance and mechanisms of peer effects," Energy Policy, Elsevier, vol. 154(C).
    19. 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).
    20. Biglarian, Hassan & Abbaspour, Madjid & Saidi, Mohammad Hassan, 2018. "Evaluation of a transient borehole heat exchanger model in dynamic simulation of a ground source heat pump system," Energy, Elsevier, vol. 147(C), pages 81-93.

    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:jsusta:v:15:y:2023:i:8:p:6931-:d:1128191. 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.