2011
DOI: 10.1016/j.enbuild.2011.05.034
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Statistical analysis of the Greek residential building stock

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Cited by 83 publications
(43 citation statements)
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“…This is very close to the values mentioned in the statistics about existing residential buildings in Turkey [9], however, these consumption values are two times higher than the ones in European countries [9,10]. It was realized that most of the residential buildings (almost 82.5%) in Turkey like in Greece are uninsulated [11,16,39]. However residential buildings inİzmir consume more energy for heating than buildings in Greece.…”
Section: Discussionsupporting
confidence: 54%
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“…This is very close to the values mentioned in the statistics about existing residential buildings in Turkey [9], however, these consumption values are two times higher than the ones in European countries [9,10]. It was realized that most of the residential buildings (almost 82.5%) in Turkey like in Greece are uninsulated [11,16,39]. However residential buildings inİzmir consume more energy for heating than buildings in Greece.…”
Section: Discussionsupporting
confidence: 54%
“…It was understood that regulations in Turkey were, in general, based on heating energy demand of buildings. Also that, it was similar to other countries of similar regional climate, like Greece, as reviewed from literature [11,16]. 61% of total energy for residential buildings is consumed for space heating and only 2% for refrigeration [17].…”
Section: Introductionmentioning
confidence: 80%
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“…By characteristics of buildings in the district, three type schedules are showed in figure 6. Internal factor schedules of building B 1 , B 2 , B 3 , B 4 , B 5 are chosen from figure 6, as showed in Table 4. TABLE IV. INTERNAL FACTOR SCHEDULES OF DISTRICT BUILDINGS.…”
Section: Advances In Engineering Research Volume 94mentioning
confidence: 99%
“…Two kinds of methods are often used. The first is historical data extrapolation, such as parametric regression [2,3], neural networks [4,5] and linear relationship statistics [6]. Existing design indicators are commonly obtained from historical data, which is used in load calculation for building cooling system design.…”
Section: Introductionmentioning
confidence: 99%