Fuzzy Benchmarking Model with Application to the Energy Efficiency of Commercial Buildings

Project: Research

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Description

The major use of energy efficiency is linked to commercial, industrial competitiveness and the energy security benefits, as well as to environmental benefits such as reducing greenhouse gases emission. Moreover, it is believed that improving energy efficiency is a major tool in making the energy system more environmentally sustainable. In order to promote the efficient use of energy, benchmarking energy efficiency is one of the most important tools. Simple benchmark models are mostly constructed in a simple benchmark table (percentile table), which is relevant to energy use when normalized only with temperature. The researchers believe that such kind of simple normalized results is not enough to provide a good benchmarking system. In this project, a more comprehensive benchmarking model is proposed to be built for office buildings of Hong Kong by using a new proposed approach which can bring the benchmarking results under fuzzy condition. The resulting benchmarking model can be put on-line so that the end-user can use it over the Internet.In Chung et al (2006), the researchers have developed an approach for benchmarking the energy efficiency of superstores using statistical analysis. However, questionnaire data given by experts can be regarded as distribution of possibility and therefore they need to build a benchmarking model with fuzzy data. That is, in regression analysis for the energy efficiency system, human estimation is influential and therefore the fuzzy nature of the system must be deal with. The researchers propose to use linear regression analysis with fuzzy model to develop the corresponding benchmarking model. Hence, the end user can use the benchmarking model under fuzzy logic consideration. It will help the end user to understand her situation in terms of energy efficiency and the corresponding ranking since the fuzzy ranking result can provide the fuzzy range of the ranking.

Detail(s)

Project number7002416
Grant typeSRG
StatusFinished
Effective start/end date1/04/0922/09/11