Development of Mixing Temperature Prediction Model for Single-Duct Variable Air Volume System Using CFD
The purpose of this study was to determine the annual energy consumption that can be attributed to heating, ventilation, and air conditioning (HVAC) systems’ mixing temperature error. To develop a mixing temperature prediction model for a single-duct variable air volume (VAV) system, the mixing temp...
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MDPI AG
2024-11-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/14/22/10549 |
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| author | Minjun Kim Hyojun Kim Jinhyun Lee Younghum Cho |
| author_facet | Minjun Kim Hyojun Kim Jinhyun Lee Younghum Cho |
| author_sort | Minjun Kim |
| collection | DOAJ |
| description | The purpose of this study was to determine the annual energy consumption that can be attributed to heating, ventilation, and air conditioning (HVAC) systems’ mixing temperature error. To develop a mixing temperature prediction model for a single-duct variable air volume (VAV) system, the mixing temperature was measured using 15 temperature sensors installed in an HVAC mixing chamber as well as the existing air handling unit’s (AHU) mixing temperature sensor. The mixing chamber was modeled using computational fluid dynamics (CFD), and a coefficient of variation of the root-mean-square error of 7.927% indicated that the model was reliable. Next, CFD simulation cases were formulated, and the temperature distribution of the mixing chamber was analyzed. This revealed that the amount of outdoor airflow input and the change in the temperature distribution of the mixing chamber were directly proportional to each other and that the mixing temperature measurements for the mixing chamber were not accurate. The mixing temperature prediction model was developed through multiple regression analysis and was successfully applied and verified. Compared with the measurements provided by existing mixing temperature sensors, the mixing temperature prediction model indicated an absolute error of 0.008–0.42 °C, confirming the model’s prediction performance. |
| format | Article |
| id | doaj-art-f4b62d97d9884a8885cd29903dd13407 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-f4b62d97d9884a8885cd29903dd134072024-11-26T17:49:13ZengMDPI AGApplied Sciences2076-34172024-11-0114221054910.3390/app142210549Development of Mixing Temperature Prediction Model for Single-Duct Variable Air Volume System Using CFDMinjun Kim0Hyojun Kim1Jinhyun Lee2Younghum Cho3Department of Architectural Engineering, Graduate School of Yeungnam University, Gyeongsan 38541, Republic of KoreaR&D Center, BETECH, Daegu 41228, Republic of KoreaArchitecture Research Institute, Yeungnam University, Gyeongsan 38541, Republic of KoreaSchool of Architecture, Yeungnam University, Gyeongsan 38541, Republic of KoreaThe purpose of this study was to determine the annual energy consumption that can be attributed to heating, ventilation, and air conditioning (HVAC) systems’ mixing temperature error. To develop a mixing temperature prediction model for a single-duct variable air volume (VAV) system, the mixing temperature was measured using 15 temperature sensors installed in an HVAC mixing chamber as well as the existing air handling unit’s (AHU) mixing temperature sensor. The mixing chamber was modeled using computational fluid dynamics (CFD), and a coefficient of variation of the root-mean-square error of 7.927% indicated that the model was reliable. Next, CFD simulation cases were formulated, and the temperature distribution of the mixing chamber was analyzed. This revealed that the amount of outdoor airflow input and the change in the temperature distribution of the mixing chamber were directly proportional to each other and that the mixing temperature measurements for the mixing chamber were not accurate. The mixing temperature prediction model was developed through multiple regression analysis and was successfully applied and verified. Compared with the measurements provided by existing mixing temperature sensors, the mixing temperature prediction model indicated an absolute error of 0.008–0.42 °C, confirming the model’s prediction performance.https://www.mdpi.com/2076-3417/14/22/10549computational fluid dynamics (CFD)variable air volume (VAV) systemair handling unit (AHU)mixing chambermixing air temperatureprediction model |
| spellingShingle | Minjun Kim Hyojun Kim Jinhyun Lee Younghum Cho Development of Mixing Temperature Prediction Model for Single-Duct Variable Air Volume System Using CFD Applied Sciences computational fluid dynamics (CFD) variable air volume (VAV) system air handling unit (AHU) mixing chamber mixing air temperature prediction model |
| title | Development of Mixing Temperature Prediction Model for Single-Duct Variable Air Volume System Using CFD |
| title_full | Development of Mixing Temperature Prediction Model for Single-Duct Variable Air Volume System Using CFD |
| title_fullStr | Development of Mixing Temperature Prediction Model for Single-Duct Variable Air Volume System Using CFD |
| title_full_unstemmed | Development of Mixing Temperature Prediction Model for Single-Duct Variable Air Volume System Using CFD |
| title_short | Development of Mixing Temperature Prediction Model for Single-Duct Variable Air Volume System Using CFD |
| title_sort | development of mixing temperature prediction model for single duct variable air volume system using cfd |
| topic | computational fluid dynamics (CFD) variable air volume (VAV) system air handling unit (AHU) mixing chamber mixing air temperature prediction model |
| url | https://www.mdpi.com/2076-3417/14/22/10549 |
| work_keys_str_mv | AT minjunkim developmentofmixingtemperaturepredictionmodelforsingleductvariableairvolumesystemusingcfd AT hyojunkim developmentofmixingtemperaturepredictionmodelforsingleductvariableairvolumesystemusingcfd AT jinhyunlee developmentofmixingtemperaturepredictionmodelforsingleductvariableairvolumesystemusingcfd AT younghumcho developmentofmixingtemperaturepredictionmodelforsingleductvariableairvolumesystemusingcfd |