2016
DOI: 10.3390/en9080605
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Effectiveness of Using Phase Change Materials on Reducing Summer Overheating Issues in UK Residential Buildings with Identification of Influential Factors

Abstract: Abstract:The UK is currently suffering great overheating issues in summer, especially in residential buildings where no air-conditioning has been installed. This overheating will seriously affect people's comfort and even health, especially for elderly people. Phase change materials (PCMs) have been considered as a useful passive method, which absorb excessive heat when the room is hot and release the stored heat when the room is cool. This research has adopted a simulation method in DesignBuilder to evaluate … Show more

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Cited by 41 publications
(21 citation statements)
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“…These materials have the ability to absorb and release massive amounts of energy during phase transitions with small temperature change. A lot of work has been done for thermal comfort improvement and reduction of energy consumption in buildings by integration of PCMs [2][3][4][5][6][7]. Osterman et al [8] presented a study on PCM thermal storage systems of buildings for space heating and cooling on an annual basis using 30 plates filled with paraffin.…”
Section: Introductionmentioning
confidence: 99%
“…These materials have the ability to absorb and release massive amounts of energy during phase transitions with small temperature change. A lot of work has been done for thermal comfort improvement and reduction of energy consumption in buildings by integration of PCMs [2][3][4][5][6][7]. Osterman et al [8] presented a study on PCM thermal storage systems of buildings for space heating and cooling on an annual basis using 30 plates filled with paraffin.…”
Section: Introductionmentioning
confidence: 99%
“…For example, some authors[45,72] validated the EnergyPlus PCM algorithm against the experimental results of Kuznik and Virgone[73] where strong agreement was observed between the experimental data and the numerical simulation for zone air temperature with roughly an average deviation of 3% for both PCM-integrated and non PCM-integrated models. In addition, Auzeby et al[74] validated the simulation results of indoor air temperature of their building model with field measured data from a greenhouse and a maximum error of 2.6 ºC, mean error of 0.1 ºC, and standard deviation of 0.7 ºC were found.…”
mentioning
confidence: 97%
“…It is important to highlight that the simulations tools employed in this research are highly recommended by several international and renowned standards, which have been greatly used in several scientific investigations [41][42][43][44][45][46]. Accordingly, the simulation tools accuracy supports the results reliability of the energy efficiency of the building in its original state, without thermal insulation materials, and the results of the energy efficient version, demonstrating thus the effectiveness of the strategies implemented for the climate under analysis.…”
mentioning
confidence: 58%