IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v8y2016i8p780-d75869.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/8/8/780/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/8/8/780/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    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. Leiyan Shen & Jianwei Qian & Sandy C. Chen, 2020. "Effective Communication Strategies of Sustainable Hospitality: A Qualitative Exploration," Sustainability, MDPI, vol. 12(17), pages 1-14, August.
    2. Maja Štimac & Mario Matković & Daria Karasalihović Sedlar, 2023. "Correlations between Hotel Size and Gas Consumption with a Feasibility Analysis of a Fuel Switch—A Coastal Case Study Croatia Adriatic," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
    3. Rafał Nagaj & Brigita Žuromskaitė, 2021. "Tourism in the Era of Covid-19 and Its Impact on the Environment," Energies, MDPI, vol. 14(7), pages 1-18, April.
    4. Saeid Charani Shandiz & Alice Denarie & Gabriele Cassetti & Marco Calderoni & Antoine Frein & Mario Motta, 2019. "A Simplified Methodology for Existing Tertiary Buildings’ Cooling Energy Need Estimation at District Level: A Feasibility Study of a District Cooling System in Marrakech," Energies, MDPI, vol. 12(5), pages 1-20, March.
    5. 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.
    6. Lei Wang & Ruyin Long & Hong Chen, 2017. "Study of Urban Energy Performance Assessment and Its Influencing Factors Based on Improved Stochastic Frontier Analysis: A Case Study of Provincial Capitals in China," Sustainability, MDPI, vol. 9(7), pages 1-18, June.
    7. Zhang, Yan & Teoh, Bak Koon & Zhang, Limao, 2023. "Exploring driving force factors of building energy use and GHG emission using a spatio-temporal regression method," Energy, Elsevier, vol. 269(C).
    8. Rodrigo Schons Arenhart & Adriano Mendonça Souza & Roselaine Ruviaro Zanini, 2022. "Energy Use and Its Key Factors in Hotel Chains," Sustainability, MDPI, vol. 14(14), pages 1-14, July.

    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. Wang, Jen Chun & Huang, Kuo-Tsang, 2013. "Energy consumption characteristics of hotel's marketing preference for guests from regions perspective," Energy, Elsevier, vol. 52(C), pages 173-184.
    2. Tian, Wei & Song, Jitian & Li, Zhanyong & de Wilde, Pieter, 2014. "Bootstrap techniques for sensitivity analysis and model selection in building thermal performance analysis," Applied Energy, Elsevier, vol. 135(C), pages 320-328.
    3. Tsai, Kang-Ting & Lin, Tzu-Ping & Hwang, Ruey-Lung & Huang, Yu-Jing, 2014. "Carbon dioxide emissions generated by energy consumption of hotels and homestay facilities in Taiwan," Tourism Management, Elsevier, vol. 42(C), pages 13-21.
    4. Ruparathna, Rajeev & Hewage, Kasun & Sadiq, Rehan, 2016. "Improving the energy efficiency of the existing building stock: A critical review of commercial and institutional buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1032-1045.
    5. Li, Xinyi & Yao, Runming & Li, Qin & Ding, Yong & Li, Baizhan, 2018. "An object-oriented energy benchmark for the evaluation of the office building stock," Utilities Policy, Elsevier, vol. 51(C), pages 1-11.
    6. Nikolaou, Ioannis E. & Vitouladitis, Haris & Tsagarakis, Konstantinos P., 2012. "The willingness of hoteliers to adopt proactive management practices to face energy issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2988-2993.
    7. Yang, Le & Xia, Jianjun & Shen, Qi, 2016. "Establishing target-oriented energy consumption quotas for buildings," Utilities Policy, Elsevier, vol. 41(C), pages 57-66.
    8. Benedetti, Miriam & Bonfa', Francesca & Bertini, Ilaria & Introna, Vito & Ubertini, Stefano, 2018. "Explorative study on Compressed Air Systems’ energy efficiency in production and use: First steps towards the creation of a benchmarking system for large and energy-intensive industrial firms," Applied Energy, Elsevier, vol. 227(C), pages 436-448.
    9. Jiang, Feifeng & Ma, Jun & Li, Zheng & Ding, Yuexiong, 2022. "Prediction of energy use intensity of urban buildings using the semi-supervised deep learning model," Energy, Elsevier, vol. 249(C).
    10. Cai, Wei & Liu, Fei & Zhou, XiaoNa & Xie, Jun, 2016. "Fine energy consumption allowance of workpieces in the mechanical manufacturing industry," Energy, Elsevier, vol. 114(C), pages 623-633.
    11. Wang, Wei & Chen, Jiayu & Huang, Gongsheng & Lu, Yujie, 2017. "Energy efficient HVAC control for an IPS-enabled large space in commercial buildings through dynamic spatial occupancy distribution," Applied Energy, Elsevier, vol. 207(C), pages 305-323.
    12. Zografakis, Nikolaos & Gillas, Konstantinos & Pollaki, Antrianna & Profylienou, Maroulitsa & Bounialetou, Fanouria & Tsagarakis, Konstantinos P., 2011. "Assessment of practices and technologies of energy saving and renewable energy sources in hotels in Crete," Renewable Energy, Elsevier, vol. 36(5), pages 1323-1328.
    13. Roth, Jonathan & Rajagopal, Ram, 2018. "Benchmarking building energy efficiency using quantile regression," Energy, Elsevier, vol. 152(C), pages 866-876.
    14. Hong, Tianzhen & Piette, Mary Ann & Chen, Yixing & Lee, Sang Hoon & Taylor-Lange, Sarah C. & Zhang, Rongpeng & Sun, Kaiyu & Price, Phillip, 2015. "Commercial Building Energy Saver: An energy retrofit analysis toolkit," Applied Energy, Elsevier, vol. 159(C), pages 298-309.
    15. Constantine Kontokosta, 2015. "A Market-Specific Methodology for a Commercial Building Energy Performance Index," The Journal of Real Estate Finance and Economics, Springer, vol. 51(2), pages 288-316, August.
    16. Lingling Chen & Brijesh Thapa & Wei Yan, 2018. "The Relationship between Tourism, Carbon Dioxide Emissions, and Economic Growth in the Yangtze River Delta, China," Sustainability, MDPI, vol. 10(7), pages 1-20, June.
    17. Fabio Iraldo & Benedetta Nucci, 2016. "Proactive environmental management in hotels: What difference does it make?," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2016(2), pages 81-106.
    18. Bhawani Ghimire & Umaporn Muneenam & Kuaanan Techato, 2024. "Preference on Renewal Energy by Operators of Tourist Standard Hotels in Kathmandu, Nepal," International Journal of Energy Economics and Policy, Econjournals, vol. 14(2), pages 277-286, March.
    19. Rachael Sherman & Hariharan Naganathan & Kristen Parrish, 2021. "Energy Savings Results from Small Commercial Building Retrofits in the US," Energies, MDPI, vol. 14(19), pages 1-16, September.
    20. Shen, Yuxuan & Pan, Yue, 2023. "BIM-supported automatic energy performance analysis for green building design using explainable machine learning and multi-objective optimization," Applied Energy, Elsevier, vol. 333(C).

    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:8:y:2016:i:8:p:780-:d:75869. 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.