A simplified tool for building layout design based on thermalcomfort simulations

Prashant Anand , Chirag Deb , Ramachandraiah Alur

Front. Archit. Res. ›› 2017, Vol. 6 ›› Issue (2) : 218 -230.

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Front. Archit. Res. ›› 2017, Vol. 6 ›› Issue (2) : 218 -230. DOI: 10.1016/j.foar.2017.03.001
RESEARCH ARTICLE
RESEARCH ARTICLE

A simplified tool for building layout design based on thermalcomfort simulations

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Abstract

Thermal comfort aspects of indoor spaces are crucial during the design stages of building layout planning. This study presents a simplified tool based on thermal comfort using predicted mean vote (PMV) index. Thermal comfort simulations were performed for 14 different possible room layouts based on window configurations. ECOTECT 12 was used to determine the PMV of these rooms for one full year, leading to 17, 808 simulations. Simulations were performed for three different climatic zones in India and were validated using in-situ measurements from one of these climatic zones. For moderate climates, rooms with window openings on the south façade exhibited the best thermal comfort conditions for nights, with comfort conditions prevailing for approximately 79.25% of the time annually. For operation during the day, windows on the north façade are favored, with thermal comfort conditions prevailing for approximately 77.74% of the time annually. Similar results for day and night time operation for other two climatic zones are presented. Such an output is essential in deciding the layout of buildings on the basis of functionality of the different rooms (living room, bedroom, kitchen) corresponding to different operation times of the day.

Keywords

Thermal comfort / Building layout design / Building orientation / Simplified tool / ECOTECT simulation

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Prashant Anand, Chirag Deb, Ramachandraiah Alur. A simplified tool for building layout design based on thermalcomfort simulations. Front. Archit. Res., 2017, 6(2): 218-230 DOI:10.1016/j.foar.2017.03.001

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2017 Higher Education Press Limited Company. Production and hosting by Elsevier B.V. on behalf of KeAi. This is an open access article under the CCBY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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