Investigation of Thermal Comfort Responses with Fuzzy Logic
In order to reduce the energy consumption of buildings a series of new heating, ventilation and air conditioning strategies, methods, and equipment are developed. The architectural trends show that office and educational buildings have large glazed areas, so the thermal comfort is influenced both by...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-05-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/12/9/1792 |
| _version_ | 1798039846119276544 |
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| author | József Menyhárt Ferenc Kalmár |
| author_facet | József Menyhárt Ferenc Kalmár |
| author_sort | József Menyhárt |
| collection | DOAJ |
| description | In order to reduce the energy consumption of buildings a series of new heating, ventilation and air conditioning strategies, methods, and equipment are developed. The architectural trends show that office and educational buildings have large glazed areas, so the thermal comfort is influenced both by internal and external factors and discomfort parameters may affect the overall thermal sensation of occupants. Different studies have shown that the predictive mean vote (PMV)—predictive percentage of dissatisfied (PPD) model poorly evaluates the thermal comfort in real buildings. At the University of Debrecen a new personalized ventilation system (ALTAIR) was developed. A series of measurements were carried out in order to test ALTAIR involving 40 subjects, out of which 20 female (10 young and 10 elderly) and 20 male (10 young and 10 elderly) persons. Based on the responses of subjects related to indoor environment quality, a new comfort index was determined using fuzzy logic. Taking into consideration the responses related to thermal comfort sensation and perception of odor intensity a new the fuzzy comfort index was 5.85 on a scale from 1–10. |
| first_indexed | 2024-04-11T21:59:19Z |
| format | Article |
| id | doaj.art-33ae03c6054e4e8db0703866ffc59949 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T21:59:19Z |
| publishDate | 2019-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-33ae03c6054e4e8db0703866ffc599492022-12-22T04:01:00ZengMDPI AGEnergies1996-10732019-05-01129179210.3390/en12091792en12091792Investigation of Thermal Comfort Responses with Fuzzy LogicJózsef Menyhárt0Ferenc Kalmár1Department of Mechanical Engineering, Faculty of Debrecen, Ótemető street 2-4, 4028 Debrecen, HungaryDepartment of Building Services and Building Engineering; Faculty of Debrecen, Ótemető street 2-4, 4028 Debrecen, HungaryIn order to reduce the energy consumption of buildings a series of new heating, ventilation and air conditioning strategies, methods, and equipment are developed. The architectural trends show that office and educational buildings have large glazed areas, so the thermal comfort is influenced both by internal and external factors and discomfort parameters may affect the overall thermal sensation of occupants. Different studies have shown that the predictive mean vote (PMV)—predictive percentage of dissatisfied (PPD) model poorly evaluates the thermal comfort in real buildings. At the University of Debrecen a new personalized ventilation system (ALTAIR) was developed. A series of measurements were carried out in order to test ALTAIR involving 40 subjects, out of which 20 female (10 young and 10 elderly) and 20 male (10 young and 10 elderly) persons. Based on the responses of subjects related to indoor environment quality, a new comfort index was determined using fuzzy logic. Taking into consideration the responses related to thermal comfort sensation and perception of odor intensity a new the fuzzy comfort index was 5.85 on a scale from 1–10.https://www.mdpi.com/1996-1073/12/9/1792indoor environment qualitythermal comfortpersonalized ventilationfuzzy logic |
| spellingShingle | József Menyhárt Ferenc Kalmár Investigation of Thermal Comfort Responses with Fuzzy Logic Energies indoor environment quality thermal comfort personalized ventilation fuzzy logic |
| title | Investigation of Thermal Comfort Responses with Fuzzy Logic |
| title_full | Investigation of Thermal Comfort Responses with Fuzzy Logic |
| title_fullStr | Investigation of Thermal Comfort Responses with Fuzzy Logic |
| title_full_unstemmed | Investigation of Thermal Comfort Responses with Fuzzy Logic |
| title_short | Investigation of Thermal Comfort Responses with Fuzzy Logic |
| title_sort | investigation of thermal comfort responses with fuzzy logic |
| topic | indoor environment quality thermal comfort personalized ventilation fuzzy logic |
| url | https://www.mdpi.com/1996-1073/12/9/1792 |
| work_keys_str_mv | AT jozsefmenyhart investigationofthermalcomfortresponseswithfuzzylogic AT ferenckalmar investigationofthermalcomfortresponseswithfuzzylogic |