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Residential air-conditioner usage in China and efficiency standardization

Author

Listed:
  • Wu, Jianghong
  • Liu, Chaopeng
  • Li, Hongqi
  • Ouyang, Dong
  • Cheng, Jianhong
  • Wang, Yuanxia
  • You, Shaofang

Abstract

Determining the real energy consumption and usage pattern of a room air-conditioner (RAC) are important issues from the point of view of both RAC design and evaluation of its energy efficiency. An air-conditioner's running time is fundamental data for the calculation of SEER and APF values. Therefore, in 2010, a nationwide investigation of RAC usage was conducted and 400 selected air-conditioning-units were monitored for a full year to obtain data on their cooling and heating usage. Two running time curves (cooling and heating) were obtained for the air-conditioners as a function of outdoor air temperatures using statistical analysis. The results show that the 27–30 °C temperature range accounts for more than 52% of the cooling time. Conversely, the 0–8 °C temperature range is associated with more than 75% of the heating time. The research presented in this paper has significantly contributed to China's new variable-speed RAC efficiency standard (GB21455-2013). It also has far-reaching implications for both the air-conditioner industry and energy policy in China due to its different method of calculating energy efficiency.

Suggested Citation

  • Wu, Jianghong & Liu, Chaopeng & Li, Hongqi & Ouyang, Dong & Cheng, Jianhong & Wang, Yuanxia & You, Shaofang, 2017. "Residential air-conditioner usage in China and efficiency standardization," Energy, Elsevier, vol. 119(C), pages 1036-1046.
    • Handle: RePEc:eee:energy:v:119:y:2017:i:c:p:1036-1046
    DOI: 10.1016/j.energy.2016.11.038
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    References listed on IDEAS

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    1. Mahlia, T. M. I. & Masjuki, H. H. & Saidur, R. & Amalina, M. A., 2004. "Viewpoint: Mitigation of emissions through energy efficiency standards for room air conditioners in Malaysia," Energy Policy, Elsevier, vol. 32(16), pages 1783-1787, November.
    2. Lin, Jiang & Rosenquist, Gregory, 2008. "Stay cool with less work: China's new energy-efficiency standards for air conditioners," Energy Policy, Elsevier, vol. 36(3), pages 1090-1095, March.
    3. Yun, Geun Young & Steemers, Koen, 2011. "Behavioural, physical and socio-economic factors in household cooling energy consumption," Applied Energy, Elsevier, vol. 88(6), pages 2191-2200, June.
    4. Jones, Rory V. & Fuertes, Alba & Lomas, Kevin J., 2015. "The socio-economic, dwelling and appliance related factors affecting electricity consumption in domestic buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 901-917.
    5. Lam, Joseph C., 1996. "An analysis of residential sector energy use in Hong Kong," Energy, Elsevier, vol. 21(1), pages 1-8.
    6. Tso, Geoffrey K.F & Yau, Kelvin K.W, 2003. "A study of domestic energy usage patterns in Hong Kong," Energy, Elsevier, vol. 28(15), pages 1671-1682.
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    1. Yuanda Hong & Collins I. Ezeh & Wu Deng & Sung-Hugh Hong & Zhen Peng, 2019. "Building Energy Retrofit Measures in Hot-Summer–Cold-Winter Climates: A Case Study in Shanghai," Energies, MDPI, vol. 12(17), pages 1-32, September.
    2. Fu, Guoyin, 2018. "Deep belief network based ensemble approach for cooling load forecasting of air-conditioning system," Energy, Elsevier, vol. 148(C), pages 269-282.
    3. Han, Binglong & Xiong, Tong & Xu, Shijie & Liu, Guoqiang & Yan, Gang, 2022. "Parametric study of a room air conditioner during defrosting cycle based on a modified defrosting model," Energy, Elsevier, vol. 238(PA).
    4. Hernández-Romero, Ilse María & Fuentes-Cortés, Luis Fabián & Nápoles-Rivera, Fabricio, 2019. "Conditions accommodating a dominant stakeholder in the design of renewable air conditioning systems for tourism complexes," Energy, Elsevier, vol. 172(C), pages 808-822.
    5. Hamed, Mohammad M. & Ali, Hesham & Abdelal, Qasem, 2022. "Forecasting annual electric power consumption using a random parameters model with heterogeneity in means and variances," Energy, Elsevier, vol. 255(C).
    6. Jaehun Lim & Myung Sup Yoon & Turki Al-Qahtani & Yujin Nam, 2019. "Feasibility Study on Variable-Speed Air Conditioner under Hot Climate based on Real-Scale Experiment and Energy Simulation," Energies, MDPI, vol. 12(8), pages 1-14, April.

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