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http://hdl.handle.net/123456789/1260
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| Title: | Prediction of Indoor Thermal Comfort Level Using Fuzzy Logic |
| Authors: | Yadav, P K
Suman, B M |
| Keywords: | Sol air temperature
Overall thermal transmittance
Thermal comfort
Fuzzy logic |
| Issue Date: | 28-Dec-2012 |
| Abstract: | Prediction of Indoor Thermal Comfort Level (TCL) is a complex phenomenon to understand. Accordingly, TCL is very difficult to present mathematically since the real process has the involvement of human beings. For analytical purposes, it can be considered that the human is a “black box” which receives inputs as environmental conditions and individual variables, whereas output is the subjective perception of TCL. Indoor comfort condition of a building depends upon exterior climate and thermo-physical properties of the materials used in building. The outside climatological parameters can be combined as a single parameter known as Sol Air Temperature (SAT). Likewise, thermal properties of the materials used in building, in-door and out-door surface heat transfer coefficients are combined in a single factor, known as Overall Thermal Transmittance (OTT). In this paper, a fuzzy logic approach is used to predict an appropriate TCL considering the SAT and OTT as input parameters. The complexities of the human cognitive process and the imprecision of linguistic expressions are taken into consideration. A detailed exposition of the application combining linguistic approach to the optimization under multiple thermal conditions’ criteria is presented in this study. |
| Description: | National Conference Emerging trends of energy conservation in buildings Nov.01-03, 2012
CSIR-Central Building Research Institute Roorkee-247667, Uttrakhand, India. |
| URI: | http://hdl.handle.net/123456789/1260 |
| Appears in Collections: | Published Articles
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