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Energy consumption comparison analysis of high energy efficiency office buildings in typical climate zones of China and U.S. based on correction model

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  • Liu, Long
  • Zhao, Jing
  • Liu, Xin
  • Wang, Zhaoxia

Abstract

Actual operation energy consumption of the high energy efficiency buildings built and operated in China and U.S. has been quite different than expected. This paper compares actual energy consumption to expect high energy efficiency office buildings in U.S. and China. Considering the different indoor design temperature, climate conditions and operated period between the compared cases in the two countries impact on the building energy consumption, correction model was built to eliminate the influence of the three factors on the comparison result and put the comparison analysis of high energy efficiency office buildings in the two countries into the same level. Regard to building general information and climate condition, four pairs of buildings in typical climate zones of China and U.S. were selected to compare the building energy conservation technology and building energy consumption based on a large scale of investigation and testing. After corrected, the energy consumption data are analyzed, including total energy consumption, and sub-metering energy consumption such as heating, cooling, lighting, office equipment, etc.. The energy saving technologies applied in these four pairs of buildings was also compared to explain energy consumption differences.

Suggested Citation

  • Liu, Long & Zhao, Jing & Liu, Xin & Wang, Zhaoxia, 2014. "Energy consumption comparison analysis of high energy efficiency office buildings in typical climate zones of China and U.S. based on correction model," Energy, Elsevier, vol. 65(C), pages 221-232.
    • Handle: RePEc:eee:energy:v:65:y:2014:i:c:p:221-232
    DOI: 10.1016/j.energy.2013.12.012
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    2. Dirks, James A. & Gorrissen, Willy J. & Hathaway, John H. & Skorski, Daniel C. & Scott, Michael J. & Pulsipher, Trenton C. & Huang, Maoyi & Liu, Ying & Rice, Jennie S., 2015. "Impacts of climate change on energy consumption and peak demand in buildings: A detailed regional approach," Energy, Elsevier, vol. 79(C), pages 20-32.
    3. Garg, Amit & Maheshwari, Jyoti & Shukla, P.R. & Rawal, Rajan, 2017. "Energy appliance transformation in commercial buildings in India under alternate policy scenarios," Energy, Elsevier, vol. 140(P1), pages 952-965.
    4. Anxiao Zhang & Regina Bokel & Andy Van den Dobbelsteen & Yanchen Sun & Qiong Huang & Qi Zhang, 2017. "The Effect of Geometry Parameters on Energy and Thermal Performance of School Buildings in Cold Climates of China," Sustainability, MDPI, vol. 9(10), pages 1-19, September.
    5. Malvoni, Maria & Baglivo, Cristina & Congedo, Paolo Maria & Laforgia, Domenico, 2016. "CFD modeling to evaluate the thermal performances of window frames in accordance with the ISO 10077," Energy, Elsevier, vol. 111(C), pages 430-438.
    6. Radhakrishnan, Nikitha & Su, Yang & Su, Rong & Poolla, Kameshwar, 2016. "Token based scheduling for energy management in building HVAC systems," Applied Energy, Elsevier, vol. 173(C), pages 67-79.
    7. Chung, Mo & Park, Hwa-Choon, 2015. "Comparison of building energy demand for hotels, hospitals, and offices in Korea," Energy, Elsevier, vol. 92(P3), pages 383-393.
    8. Wei, Jin & Ni, Yang & Zhang, Yue-Jun, 2020. "The mitigation strategies for bottom environment of service-oriented public building from a micro-scale perspective: A case study in China," Energy, Elsevier, vol. 205(C).
    9. Bordbari, Mohammad Javad & Seifi, Ali Reza & Rastegar, Mohammad, 2018. "Probabilistic energy consumption analysis in buildings using point estimate method," Energy, Elsevier, vol. 142(C), pages 716-722.
    10. Liu, Long & Zhu, Neng & Zhao, Jing, 2016. "Thermal equilibrium research of solar seasonal storage system coupling with ground-source heat pump," Energy, Elsevier, vol. 99(C), pages 83-90.
    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.

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