2019
DOI: 10.1177/0143624419847349
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Predictions of summertime overheating: Comparison of dynamic thermal models and measurements in synthetically occupied test houses

Abstract: Summertime overheating in UK dwellings is seen as a risk to occupants' health and well-being. Dynamic thermal simulation programs are widely used to assess the overheating risk in new homes, but how accurate are the predictions? Results from two different dynamic thermal simulation programs used by four different experienced modellers are compared with measurements from a pair of traditional, semi-detached test houses. The synthetic occupancy in the test houses replicated curtain operation and the CIBSE TM59 i… Show more

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Cited by 25 publications
(20 citation statements)
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“…The third cluster, in blue, links "building services", "energy conservation", and "office buildings", with "building codes", "climate control", and "lighting". The use of the Passivhaus [48] and NZEB standards [49] have proved to be effective in improving the building's energy efficiency, but it has also increased the overheating risk [50][51][52]. Therefore, the fourth cluster, in yellow, groups "building", "energy management", and "heating" with "thermal comfort", "building performance", and "overheating".…”
Section: Abstract Network Analysismentioning
confidence: 99%
“…The third cluster, in blue, links "building services", "energy conservation", and "office buildings", with "building codes", "climate control", and "lighting". The use of the Passivhaus [48] and NZEB standards [49] have proved to be effective in improving the building's energy efficiency, but it has also increased the overheating risk [50][51][52]. Therefore, the fourth cluster, in yellow, groups "building", "energy management", and "heating" with "thermal comfort", "building performance", and "overheating".…”
Section: Abstract Network Analysismentioning
confidence: 99%
“…For modelling applications, there is always a trade-off between data requirements, ease of use, and computation time (Jones et al , 2015). And because “infiltration is often input to the model and forgotten about” (Roberts et al , 2019a), more guidance is needed to help modellers in their decision making when estimating infiltration.…”
Section: Introductionmentioning
confidence: 99%
“…Yet, infiltration rates in summer cannot be ignored. Summertime overheating is an increasing problem in the UK and elsewhere, partly due to climate change, but also because homes are becoming more airtight (Lomas and Porritt, 2017) and infiltration is a modifier of indoor temperatures (Mavrogianni et al , 2012; Taylor et al , 2018; Roberts et al , 2019a).…”
Section: Introductionmentioning
confidence: 99%
“…13 Added to which the "rebound effect" (where occupants of low energy dwellings use more energy than predicted) or a "prebound effect", where occupants of refurbished dwellings use less energy than predicted further complicates matters. Using a comparison of dynamic thermal models and measurements in "synthetically" occupied test houses gave small performance gaps 14 showing that the basic physics of the thermal models was sound. Although the basic physics of simulation is sound, Imam et al 15 suggest that a contribution to the energy gap could be due to poor use of the software by designers.…”
Section: Introductionmentioning
confidence: 99%