Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/23105
Title: Energy performance of hotel buildings
Authors: WU XUCHAO
Keywords: Hotel; Energy Efficiency; Benchmarking; Fuzzy Clustering; Data Envelopment Analysis
Issue Date: 14-May-2007
Source: WU XUCHAO (2007-05-14). Energy performance of hotel buildings. ScholarBank@NUS Repository.
Abstract: This work endeavored to obtain a good understanding of energy performance in hotel buildings and to develop a scheme for hotel energy performance evaluation. Following an extensive survey conducted in Singapore, hotel physical and operational characteristics as well as environmental factors that influence energy use were identified, and their correlations with energy consumption investigated. A regression based energy benchmark was then developed, which provides a fair and objective platform for hotel energy performance evaluation. In view of the drawbacks of mainstream building energy classifications, a new approach based on clustering techniques was developed. The energy classification thus obtained is more reasonable and well balanced than that generated by the traditional equal frequency method, hence more desirable in determining energy classes for building energy labelling or certification programmes. Lastly, a technique for relative efficiency study, Data Envelopment Analysis (DEA), was used in hotel energy efficiency assessment. It provides an alternative angle to view building energy efficiency, and hence offers a new insight into the issue.
URI: http://scholarbank.nus.edu.sg/handle/10635/23105
Appears in Collections:Master's Theses (Open)

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