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Dilution effect of the building area on energy intensity in urban residential buildings

Author

Listed:
  • Jingxin Gao

    (Chongqing University)

  • Xiaoyang Zhong

    (Leiden University, Einsteinweg)

  • Weiguang Cai

    (Chongqing University)

  • Hong Ren

    (Chongqing University)

  • Tengfei Huo

    (Hebei University of Technology)

  • Xia Wang

    (Southwestern University of Finance and Economics)

  • Zhifu Mi

    (University College)

Abstract

Urban residential buildings make large contributions to energy consumption. Energy consumption per square meter is most widely used to measure energy efficiency in urban residential buildings. This study aims to explore whether it is an appropriate indicator. An extended STIRPAT model was used based on the survey data from 867 households. Here we present that building area per household has a dilution effect on energy consumption per square meter. Neglecting this dilution effect leads to a significant overestimation of the effectiveness of building energy savings standards. Further analysis suggests that the peak of energy consumption per square meter in China’s urban residential buildings occurred in 2012 when accounting for the dilution effect, which is 11 years later than it would have occurred without considering the dilution effect. Overall, overlooking the dilution effect may lead to misleading judgments of crucial energy-saving policy tools, as well as the ongoing trend of residential energy consumption in China.

Suggested Citation

  • Jingxin Gao & Xiaoyang Zhong & Weiguang Cai & Hong Ren & Tengfei Huo & Xia Wang & Zhifu Mi, 2019. "Dilution effect of the building area on energy intensity in urban residential buildings," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-12852-9
    DOI: 10.1038/s41467-019-12852-9
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    Cited by:

    1. Wang, Yuanping & Hou, Lingchun & Cai, Weiguang & Zhou, Zhaoyin & Bian, Jing, 2023. "Exploring the drivers and influencing mechanisms of urban household electricity consumption in China - Based on longitudinal data at the provincial level," Energy, Elsevier, vol. 273(C).
    2. Rempel, A.R. & Rempel, A.W. & McComas, S.M. & Duffey, S. & Enright, C. & Mishra, S., 2021. "Magnitude and distribution of the untapped solar space-heating resource in U.S. climates," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    3. Vögele, Stefan & Poganietz, Witold-Roger & Kleinebrahm, Max & Weimer-Jehle, Wolfgang & Bernhard, Jesse & Kuckshinrichs, Wilhelm & Weiss, Annika, 2022. "Dissemination of PV-Battery systems in the German residential sector up to 2050: Technological diffusion from multidisciplinary perspectives," Energy, Elsevier, vol. 248(C).
    4. Abubaker Basheer Abdalwhab Altohami & Nuzul Azam Haron & Aidi Hizami Ales@Alias & Teik Hua Law, 2021. "Investigating Approaches of Integrating BIM, IoT, and Facility Management for Renovating Existing Buildings: A Review," Sustainability, MDPI, vol. 13(7), pages 1-30, April.
    5. Qingwei Shi & Jingxin Gao & Xia Wang & Hong Ren & Weiguang Cai & Haifeng Wei, 2020. "Temporal and Spatial Variability of Carbon Emission Intensity of Urban Residential Buildings: Testing the Effect of Economics and Geographic Location in China," Sustainability, MDPI, vol. 12(7), pages 1-23, March.
    6. Duan, Haiyan & Chen, Siyan & Song, Junnian, 2022. "Characterizing regional building energy consumption under joint climatic and socioeconomic impacts," Energy, Elsevier, vol. 245(C).
    7. Pérez-Sánchez, Laura À. & Velasco-Fernández, Raúl & Giampietro, Mario, 2022. "Factors and actions for the sustainability of the residential sector. The nexus of energy, materials, space, and time use," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    8. Ke, Yanyan & Cai, Weiguang, 2023. "Breaking the “income-waiting dilemma” to decrease residential building carbon emissions," Energy Policy, Elsevier, vol. 175(C).

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