2007
DOI: 10.1016/j.enbuild.2007.02.012
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Milton Keynes Energy Park revisited: Changes in internal temperatures and energy usage

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Cited by 89 publications
(46 citation statements)
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“…Casual gains have been shown to vary widely, even in identical properties. 12,13 In order to show the effects on energy demand on a national scale, taking the average or a typical level of casual gain is appropriate. In particular, peak or day-to-day loads are difficult to accurately establish for a single household.…”
Section: Methodsmentioning
confidence: 99%
“…Casual gains have been shown to vary widely, even in identical properties. 12,13 In order to show the effects on energy demand on a national scale, taking the average or a typical level of casual gain is appropriate. In particular, peak or day-to-day loads are difficult to accurately establish for a single household.…”
Section: Methodsmentioning
confidence: 99%
“…Space heating levels are considered to be constant regardless of the activity being carried out. However, in reality, heating is most effective if adjusted according to the activity being carried out: for example, a sedentary pastime requires a higher temperature for thermal comfort than more active pastimes (Hong et al 2006;Summerfield et al 2007). …”
Section: Estimating the Ghg Intensity Of Time Usementioning
confidence: 99%
“…5 This is not surprising as in the UK wintertime space heating energy demands are a major source of greenhouse gas emissions and under heating of homes is a significant health risk. Such studies include, for example, 1600 low income households (Oreszczyn et al, 2006), 427 homes in the CaRB study (Shipworth et al, 2009), 14 lowenergy homes monitored in Milton Keynes (Summerfield et al, 2007) and 25 households in Northern Ireland (Yohanis et al, 2010). The most extensive field survey (Hunt & Gidman, 1982) measured spot temperatures in each room of 100 homes in February and March 1978. 111,000 homes (ONS, 2010), Leicester is the UK's 15 th largest city and has households that cover a wide range of socio-economic categories, from affluent to the most disadvantaged.…”
Section: Household Survey and Temperature Measurementsmentioning
confidence: 99%