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Energy Performance of Hotel Buildings in Lijiang, China

Author

Listed:
  • Mingfang Tang

    (State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China)

  • Xiao Fu

    (State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China)

  • Huiming Cao

    (State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China)

  • Yuan Shen

    (State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China)

  • Hongbing Deng

    (State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China)

  • Gang Wu

    (State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China)

Abstract

The hotel industry in China has experienced rapid growth in the past ten years and made a considerable contribution to the global tourism economy. This paper focuses on the energy performance of hotel buildings in Lijiang, China. Hotel characteristics, daily operational data, and energy use data were collected by carrying out a survey of 24 hotels. The average annual energy use intensity (EUI) of four-, three-, two-, and one-star rated hotels was 180.8 kWh/m 2 , 113.3 kWh/m 2 , 74.2 kWh/m 2 , and 70.2 kWh/m 2 , respectively. Electricity, as the dominant energy source, accounted for 81% of total energy consumption and was used in the operation of air conditioning, lighting, heating, etc. Pearson correlations between EUI showed that hotel star rating, number of guest rooms, room revenue, and number of workers gave a reasonably strong correlation. A regression-based benchmarking model was established to predict EUI, and a standardization process of EUI was illustrated by statistical analysis.

Suggested Citation

  • Mingfang Tang & Xiao Fu & Huiming Cao & Yuan Shen & Hongbing Deng & Gang Wu, 2016. "Energy Performance of Hotel Buildings in Lijiang, China," Sustainability, MDPI, vol. 8(8), pages 1-12, August.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:8:p:780-:d:75869
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    References listed on IDEAS

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    1. Zhao, Hai-xiang & Magoulès, Frédéric, 2012. "A review on the prediction of building energy consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3586-3592.
    2. Beccali, Marco & La Gennusa, Maria & Lo Coco, Leonardo & Rizzo, Gianfranco, 2009. "An empirical approach for ranking environmental and energy saving measures in the hotel sector," Renewable Energy, Elsevier, vol. 34(1), pages 82-90.
    3. Chia-Wei Hsu & Tsai-Chi Kuo & Guey-Shin Shyu & Pi-Shen Chen, 2014. "Low Carbon Supplier Selection in the Hotel Industry," Sustainability, MDPI, vol. 6(5), pages 1-27, May.
    4. Khemiri, Abdelhak & Hassairi, Mohamed, 2005. "Development of energy efficiency improvement in the Tunisian hotel sector: a case study," Renewable Energy, Elsevier, vol. 30(6), pages 903-911.
    5. Chung, William & Hui, Y.V. & Lam, Y. Miu, 2006. "Benchmarking the energy efficiency of commercial buildings," Applied Energy, Elsevier, vol. 83(1), pages 1-14, January.
    6. Becken, Susanne & Frampton, Chris & Simmons, David, 2001. "Energy consumption patterns in the accommodation sector--the New Zealand case," Ecological Economics, Elsevier, vol. 39(3), pages 371-386, December.
    7. Zhao, Jing & Xin, Yajuan & Tong, Dingding, 2012. "Energy consumption quota of public buildings based on statistical analysis," Energy Policy, Elsevier, vol. 43(C), pages 362-370.
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    Cited by:

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    7. Luis Martin Dibene-Arriola & Fátima Maciel Carrillo-González & Sandra Quijas & María Carolina Rodríguez-Uribe, 2021. "Energy Efficiency Indicators for Hotel Buildings," Sustainability, MDPI, vol. 13(4), pages 1-11, February.
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