Comparing the influence of PMV inputs on the index between naturally ventilated and air-conditioned buildings
Comparing the influence of PMV inputs on the index between naturally ventilated and air-conditioned buildings
Previous studies have shown MET and CLO are the most influential variables in the PMV model. Using the data from ASHRAE database 2 this paper performs a global sensitivity analysis of the input variables to the PMV model adopted in ISO 7730. First, this paper reviews the descriptive statistics of the six PMV inputs (M,Icl,ta,tr,RH,va) from naturally ventilated and air-conditioned buildings. Then, a global sensitivity analysis is carried out to estimate the strength of the relationships between each PMV input and the PMV index. Results show a difference between the two ventilation modes: in air-conditioned buildings the PMV index is mostly influenced by clothing insulation and metabolic rate, whereas for naturally ventilated buildings ambient and radiant temperatures have the greatest impact. This difference is explained by the difference in the inputs’ variance, which is likely to be attributed to the behavioural adjustment of occupants to achieve personal comfort. In air-conditioned buildings, thermal comfort is directly associated with personal adaptation (clothing and activity levels), therefore social and corporate codes should support this adaptation. In naturally ventilated buildings, the design of building systems and control interfaces should enable individuals to adjust their environment to their preferences.
thermal comfort, global sensitivity analysis, PMV index, personal adaptation, ventilation mode
Movchan, Maria
26b788ce-5d58-4287-8eaf-62efa2411634
Gauthier, Stephanie
4e7702f7-e1a9-4732-8430-fabbed0f56ed
20 September 2019
Movchan, Maria
26b788ce-5d58-4287-8eaf-62efa2411634
Gauthier, Stephanie
4e7702f7-e1a9-4732-8430-fabbed0f56ed
Movchan, Maria and Gauthier, Stephanie
(2019)
Comparing the influence of PMV inputs on the index between naturally ventilated and air-conditioned buildings.
9th Masters Conference: People and Buildings. Network for Comfort and Energy Use in Buildings., http://nceub.org.uk/ocs/index.php/MC2019/MC2019, London, United Kingdom.
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Conference or Workshop Item
(Paper)
Abstract
Previous studies have shown MET and CLO are the most influential variables in the PMV model. Using the data from ASHRAE database 2 this paper performs a global sensitivity analysis of the input variables to the PMV model adopted in ISO 7730. First, this paper reviews the descriptive statistics of the six PMV inputs (M,Icl,ta,tr,RH,va) from naturally ventilated and air-conditioned buildings. Then, a global sensitivity analysis is carried out to estimate the strength of the relationships between each PMV input and the PMV index. Results show a difference between the two ventilation modes: in air-conditioned buildings the PMV index is mostly influenced by clothing insulation and metabolic rate, whereas for naturally ventilated buildings ambient and radiant temperatures have the greatest impact. This difference is explained by the difference in the inputs’ variance, which is likely to be attributed to the behavioural adjustment of occupants to achieve personal comfort. In air-conditioned buildings, thermal comfort is directly associated with personal adaptation (clothing and activity levels), therefore social and corporate codes should support this adaptation. In naturally ventilated buildings, the design of building systems and control interfaces should enable individuals to adjust their environment to their preferences.
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Published date: 20 September 2019
Venue - Dates:
9th Masters Conference: People and Buildings. Network for Comfort and Energy Use in Buildings., http://nceub.org.uk/ocs/index.php/MC2019/MC2019, London, United Kingdom, 2019-09-20
Keywords:
thermal comfort, global sensitivity analysis, PMV index, personal adaptation, ventilation mode
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Local EPrints ID: 436251
URI: http://eprints.soton.ac.uk/id/eprint/436251
PURE UUID: 0b0cdf17-1454-406d-a2f1-61db5ea5d638
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Date deposited: 04 Dec 2019 17:30
Last modified: 25 Feb 2023 02:47
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Author:
Maria Movchan
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