OBJECTIVE AND SUBJECTIVE THERMAL COMFORT EVALUATION IN HUNGARY

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János SZABÓ László KAJTÁR József NYERS László KETSKEMÉTY Levente HERCZEG Anita LEITNER Balázs BOKOR

Abstract

Thermal comfort sensation can be predicted in the most exact way based on Fanger’s PMV model. This evaluation method takes all the six influencing factors into consideration: air temperature and humidity, air velocity, mean radiant temperature of surrounding surfaces, clothing insulation and occupants’ activities. Fanger’s PMV method was developed for temperate climate and European people, with the participation of university students as subjects. Many researchers had investigated its validity in different geographic locations (i.e. climatic conditions, people) and under non-laboratory circumstances. The results were summarised by J. van Hoof which  had been published in the scientific references. The articles gave us the idea to elaborate the former measurement results.


During the last decades thermal comfort was evaluated by our research team using subjective scientific questionnaires and applying the objective Fanger’s model in several office buildings in Hungary. The relation between the PMV („Predicted Mean Vote”) and AMV („Actual Mean Vote”) values were analysed based on these results.


Investigations were carried out under steady-state conditions in  winter time. We performed objective thermal comfort evaluations based on instrumental measurements using the PMV theory. Parallel to this we assessed the subjective thermal sensation using scientific questionnaires. The mathematical relationship between AMV and  PMV was defined according to the evaluated thermal environment:


AMV = PMV + 0.275, (arg. -1.7 ≤ PMV ≤ +0.5).

Article Details

How to Cite
SZABÓ, János et al. OBJECTIVE AND SUBJECTIVE THERMAL COMFORT EVALUATION IN HUNGARY. Thermal Science, [S.l.], mar. 2017. ISSN 2334-7163. Available at: <http://thermal-science.tech/journal/index.php/thsci/article/view/2214>. Date accessed: 17 aug. 2017. doi: https://doi.org/10.2298/TSCI151005095K.
Section
Articles
Received 2017-03-06
Accepted 2017-03-13
Published 2017-03-13

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