Thermal comfort design zone delineation for India using GIS

This paper describes a procedure devised using Geographical Information System (GIS) to delineate boundaries of zones, where any change in thermal comfort requirement indicates corresponding change in responsive building design strategies. Very high resolution interpolated climatic data subset for I...

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Bibliographic Details
Published inBuilding and environment Vol. 87; pp. 193 - 206
Main Authors Pawar, Aniruddha Subarao, Mukherjee, Mahua, Shankar, R.
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.05.2015
Subjects
Adaptive comfort
Buildings
Climate zone
Construction
Design of buildings
Geographic information systems
GIS
India
Interpolated climate data
Mahoney tables
Satellite navigation systems
Strategy
Thermal comfort
India
GIS
Climate zone
Thermal comfort
Adaptive comfort
Mahoney tables
Interpolated climate data
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Summary:This paper describes a procedure devised using Geographical Information System (GIS) to delineate boundaries of zones, where any change in thermal comfort requirement indicates corresponding change in responsive building design strategies. Very high resolution interpolated climatic data subset for India has been used in this analysis so as to distinctly represent the variety of climates experienced in India. The raster datasets of climatic parameters have been analyzed in GIS to get derived and classified parameters required in the Mahoney Tables method for computation of six climatic indicators. These six indicators have been used in the selection of suitable climate-responsive building strategies from 8 strategy groups for the whole dataset. The selected strategies in 8 groups are superimposed together to identify 62 Thermal Comfort Design Zones with unique combination of building design strategies. The proposed zones can be useful in the legislative tools for implementation of energy conservation measures and sustainable building practices. •Existing climate zone criteria vaguely relate with responsive design strategies.•Also zone delineation in between available sparse weather stations not objective.•Interpolated climatic data affords per Km2 status of six Mahoney Table indicators.•Strategy selection done from ten diverse groups, based on discrete indicator status.•Unique combinations of responsive strategies shape 62 Thermal Comfort Design Zones.
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ISSN:0360-1323
1873-684X
DOI:10.1016/j.buildenv.2015.01.009