Comfort and Weather Analysis


Centre for Advanced Research in Building Science and Energy (CARBSE) at CEPT University has developed a ‘Comfort and Weather Analysis’ tool. This is an online tool which can be accessed freely over internet. The tool has been designed to help the user generate thermal comfort and outdoor weather analysis for Indian cities. The tool efficiently produces the following information: • Comfort charts showing the temperature of the city for the whole year on the ASHRAE 55 thermal comfort bands. • ASHRAE 55 comfort zone distribution on 24 x 7 basis for a year and also daytime basis for the city selected by the user. The user can hence determine the number of operating hours that belong to comfort zone for a particular month. • This tool also develops the weather chart which shows the temperature distribution for 24 x 7 basis and also daytime basis for the city selected by the user. • The humidity distribution in for 24 x 7 spaces and daytime spaces for the user selected city will also be shown. This tool is supported by Ministry of New and Renewable Energy, Govt. of India and Shakti Sustainable Energy Foundation, India.

External Link to Product Page:
Major Capabilities:
Weather Data and Climate Analysis, Air Flow Simulation
Building Type:
Help And Support:
Free Email Support
Last Software Update:
January 1, 2015
Basic knowledge regarding thermal comfort and weather conditions
Architects, MEP Engineers, Energy Analysts, Students
Basic information such as geographical location, type of thermal comfort or weather analysis required
Comfort and weather charts mentioned below for the specific geographic location can be viewed on the screen: • Adaptive Comfort Zones (ASHRAE 55) for naturally ventilated spaces • Weather data analysis showing annual temperature and relative humidity distribution and estimated operation modes (e.g. heating, natural ventilation, cooling, etc.) for 24 hour and day time operating spaces
Calculator provides quick information regarding adaptive comfort zone and operation modes of the building based on weather data, which is extremely helpful in initial building design and analysis.