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Analysis and benchmarking of greenhouse gas emissions of luxury hotels
Institution:1. Department of Bioenvironmental Systems Engineering, National Taiwan University, 1, Roosevelt Rd., Sec. 4, Taipei, Taiwan;2. Department of Industry Technology Education, National Kaohsiung Normal University, 62, Shenjhong Rd., Yanchao District, Kaohsiung City 82446, Taiwan;3. Department of Tourism Management, Chia Nan University of Pharmacy and Science, 60, Erh-Jen Rd., Sec. 1, Jen-Te, Tainan, Taiwan;1. Department of Architecture & Architectural Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea;2. Department of Architecture & Architectural Engineering, Yonsei University, Seoul, 03722, Republic of Korea;3. Research Professor, Department of Architecture and Architectural Engineering, Yonsei University, Seoul, 03722, Republic of Korea;1. Energy Department, Higher Institute of Applied Sciences and Technology So3usse, University of Sousse, Tunisia;2. Energy and Materials Laboratory, Higher School of Sciences and Technology of Hammam Sousse, University of Sousse, Tunisia;3. Agence Nationale pour la Maitrise de l''Energie, Tunisia
Abstract:Hotels are one of the most energy intensive building types due to their multi-usage functions and round the clock operations. We investigated the energy consumption of 58 Taiwanese luxury hotels for greenhouse gas (GHG) emissions, including carbon dioxide (CO2), nitrous oxide (N2O) and methane (CH4). The average yearly GHG emission density of the investigated hotels is 132 kg-CO2e/m2. The results show an expected 29 kg of equivalent carbon dioxide emission (CO2e) for each accommodated guest/night, or 50 kg-CO2e generated for each room/night sold. A multiple regression model was established to normalize the GHG emission intensity, which includes GHG emissions potential variables and a benchmark model, plotted as a cumulative percentile distribution, in which hotels can rank their GHG emissions intensity. By comparing hotel GHG emission performances, hotel managers can determine if and where improvements should be implemented.
Keywords:Benchmark  Greenhouse gas  Hotel energy consumption
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