2004
DOI: 10.1016/j.enbuild.2004.01.034
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Using simulation to formulate domestic sector upgrading strategies for Scotland

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Cited by 21 publications
(11 citation statements)
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“…Olofsson et al reported on the benchmarking of residential buildings in the USA, involving 5900 samples, which produces an average energy use intensity (EUI) of 59 kWh/m 2 . This is followed by several investigations in which BES was effectively used for energy benchmarking of buildings in US, Sweden, Hong Kong, Canada, and Brazil [16][17][18][19][20][21]. The historical development of BES and the comparison of different approaches have been reported in [19].…”
Section: Introductionmentioning
confidence: 99%
“…Olofsson et al reported on the benchmarking of residential buildings in the USA, involving 5900 samples, which produces an average energy use intensity (EUI) of 59 kWh/m 2 . This is followed by several investigations in which BES was effectively used for energy benchmarking of buildings in US, Sweden, Hong Kong, Canada, and Brazil [16][17][18][19][20][21]. The historical development of BES and the comparison of different approaches have been reported in [19].…”
Section: Introductionmentioning
confidence: 99%
“…This model should be capable of simultaneously simulating the operation of all appliances and the occupants' behavior in all households within the objective region without using ''unit energy consumption per household/person/floor area.' ' Clarke et al [3] applied a building simulation program for estimating the effect of the improvement in a thermodynamic class such as window size and insulation level by considering the present distribution of house types and thermodynamic classes in Scotland. Jones et al [4] developed a model that estimates the residential energy used in a city by considering the distribution of the building energy used based on Geographical Information System techniques.…”
Section: Introductionmentioning
confidence: 99%
“…Generation of prototypical buildings is a data-intensive clustering process that requires data from regional energy survey data, building design standards/codes, and other statistical information. This technique has been implemented to countries such as Japan (Yamaguchi et al 2007), Canada (Parekh 2005) and United Kingdom (Clarke et al 2004, Ruchi 2012 for both residential and commercial buildings. In the United States, Huang et al (1991) and Huang and Franconi (1999) presented extensive summaries of work in this area.…”
Section: Journal Of Building Performance Simulationmentioning
confidence: 99%