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Sustainability 2018, 10(10), 3609; https://doi.org/10.3390/su10103609

The Impact of the Thermal Comfort Models on the Prediction of Building Energy Consumption

1
School of Natural Resources Engineering and Management, German Jordanian University, P.O. Box 35247, Amman 11180, Jordan
2
Priority Research Centre for Frontier Energy Technologies and Utilisation, The University of Newcastle, Callaghan, NSW 2308, Australia
*
Author to whom correspondence should be addressed.
Received: 13 September 2018 / Revised: 5 October 2018 / Accepted: 6 October 2018 / Published: 10 October 2018
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Abstract

Building energy assessment software/programs use various assumptions and types of thermal comfort models to forecast energy consumption. This paper compares the results of using two major thermal comfort models (adaptive thermal comfort and the predicted mean vote (PMV) adjusted by the expectancy factor) to examine their influence on the prediction of the energy consumption for several full-scale housing experimental modules constructed on the campus of the University of Newcastle, Australia. Four test modules integrating a variety of walling types (insulated cavity brick (InsCB), cavity brick (CB), insulated reverse brick veneer (InsRBV), and insulated brick veneer (InsBV)) were used for comparing the time necessary for cooling and heating to maintain internal thermal comfort for both models. This research paper exhibits the benefits of adopting the adaptive thermal model for building structures. It shows the effectiveness of this model in helping to reduce energy consumption, increasing the thermal comfort level for the buildings, and therefore reducing greenhouse emissions. View Full-Text
Keywords: thermal comfort; building energy consumption; building simulation; PMV; adaptive comfort; expectancy factor thermal comfort; building energy consumption; building simulation; PMV; adaptive comfort; expectancy factor
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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MDPI and ACS Style

Albatayneh, A.; Alterman, D.; Page, A.; Moghtaderi, B. The Impact of the Thermal Comfort Models on the Prediction of Building Energy Consumption. Sustainability 2018, 10, 3609.

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