1999
DOI: 10.1016/s0301-4215(99)00044-0
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Developing a database of energy use in the UK non-domestic building stock

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Cited by 13 publications
(7 citation statements)
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“…Another example concerns Hong Kong, where an electricity use model [22] was developed starting from a two year survey of 1516 domestic household with average monthly electricity consumption of 100 kW h or above, sorted by housing type, according to information directly provided by the end users. Last, the methodology followed in developing a UK non-domestic stock database [23] can also be mentioned. It considers 3350 buildings sorted per function, and combines measured records of the building fuel consumption, users' interviews and room by room inspections in developing the model.…”
Section: Framework Of Referencementioning
confidence: 99%
“…Another example concerns Hong Kong, where an electricity use model [22] was developed starting from a two year survey of 1516 domestic household with average monthly electricity consumption of 100 kW h or above, sorted by housing type, according to information directly provided by the end users. Last, the methodology followed in developing a UK non-domestic stock database [23] can also be mentioned. It considers 3350 buildings sorted per function, and combines measured records of the building fuel consumption, users' interviews and room by room inspections in developing the model.…”
Section: Framework Of Referencementioning
confidence: 99%
“…Firstly, sector-wide environmental accounting is bound to be hampered by the reluctance of many businesses to record and release energy consumption data. Indeed, Mortimer et al (1999) have commented on the difficulty of obtaining reliable data for energy use in nondomestic buildings. While it is understandable that dollar figures for electricity consumption are often considered "confidential information", given their direct relationship with operating costs and profit, kWh or MJ figures on the other hand, are relatively neutral.…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…Deng and Burnett (2000), for example, used an energy use index that was based on site energy consumption per unit of gross floor area, for sixteen hotels in Hong Kong. On a larger scale, Mortimer et al (1999) 3) Multiply the average values by the number of businesses classified under each accommodation group or category, to obtain estimated total energy consumption values for each accommodation category. 4) Sum the values calculated for different categories of accommodation, to establish a sector wide value for energy consumption.…”
Section: The Floor Area Methodsmentioning
confidence: 99%
“…Building stocks in many developed countries have been evaluated for the relationship between energy consumption and built characteristics [26,49,50]. They have been further investigated to identify the effect of building morphology such as shape, composition, orientation, and fenestration details for assessment of building performance and the end user energy demand [51][52][53].…”
Section: The Urban Climate and Building Stock In Colombomentioning
confidence: 99%