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DimensionsGilani, S.I.U.H. and Khan, M.H. and Pao, W. (2015) Thermal Comfort Analysis of PMV Model Prediction in Air Conditioned and Naturally Ventilated Buildings. In: UNSPECIFIED.
Full text not available from this repository.Abstract
Energy saving in commercial and residential buildings have a potential with respect to improvement of thermal comfort standard. Predicted Mean Vote (PMV) model is considered to be most recognized in thermal comfort standards. Analysis of PMV model in naturally ventilated and air conditioned buildings present the percentage of under/over estimation level. PMV equation underestimates thermal sensation by 13 in summer season and overestimates by 35 in winter season, for NV buildings whereas in case of HVAC buildings overestimation is found to be 31 and 33 in the summer and winter seasons respectively. Percentage deviation of overestimation rate in HVAC buildings is higher than NV buildings. © 2015 The Authors. Published by Elsevier Ltd.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Additional Information: | cited By 76; Conference of 7th International Conference on Applied Energy, ICAE 2015 ; Conference Date: 28 March 2015 Through 31 March 2015; Conference Code:114863 |
| Uncontrolled Keywords: | Air conditioning; Energy conservation; Sensory perception; Thermal comfort; Ventilation, Air-conditioned buildings; Model prediction; Naturally ventilated buildings; Percentage deviation; Predicted mean vote; Residential building; Thermal comfort analysis; Thermal sensations, Buildings |
| Depositing User: | Mr Ahmad Suhairi UTP |
| Date Deposited: | 09 Nov 2023 16:17 |
| Last Modified: | 09 Nov 2023 16:17 |
| URI: | https://khub.utp.edu.my/scholars/id/eprint/6229 |
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