Transient Behavior Analysis of the Infiltration Heat Recovery of Exterior Building Walls
This research study investigated the transient behavior of the convection–diffusion model for the infiltration heat recovery (IHR) and the influence of the building envelope heat capacity, along with other factors. A transient numerical model was developed and validated to analyze the IHR under vari...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/20/7198 |
| _version_ | 1797573982710398976 |
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| author | Alaa Alaidroos |
| author_facet | Alaa Alaidroos |
| author_sort | Alaa Alaidroos |
| collection | DOAJ |
| description | This research study investigated the transient behavior of the convection–diffusion model for the infiltration heat recovery (IHR) and the influence of the building envelope heat capacity, along with other factors. A transient numerical model was developed and validated to analyze the IHR under various conditions. The results highlight the role of heat capacity, thermal conductivity, wall thickness, airflow rate, airflow direction, and wall porosity on the temperature distribution and the heat recovery factor within the wall. Higher-heat-capacity walls displayed a delayed temperature rise, while low-thermal-conductivity walls reduced the conduction heat transfer and increased the IHR factor. The impact of heat capacity diminished with very low thermal conductivity walls but became evident for high-thermal-conductivity walls, particularly at higher Peclet numbers. Thicker walls enhanced the heat retention and improved the IHR, with a reduced influence of airflow rate. Higher IHR factors were associated with thicker walls, lower Peclet numbers, and higher heat capacities. The analysis also showed that the wall porosity affected the IHR with less significance than the other factors. Incorporating these findings into building energy modeling tools could improve the prediction accuracy of the thermal behavior of buildings. Accordingly, this study contributes to building physics by understanding IHR dynamics and thermal mass interactions, as well as improving building energy modeling accuracy for performance prediction. Future research can explore the impacts of additional factors on IHR and investigate the effect of IHR on the overall energy consumption of buildings. |
| first_indexed | 2024-03-10T21:16:51Z |
| format | Article |
| id | doaj.art-a81633a2f8324b4fb48329628f28dd0e |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T21:16:51Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-a81633a2f8324b4fb48329628f28dd0e2023-11-19T16:23:34ZengMDPI AGEnergies1996-10732023-10-011620719810.3390/en16207198Transient Behavior Analysis of the Infiltration Heat Recovery of Exterior Building WallsAlaa Alaidroos0Architectural Engineering Department, Faculty of Engineering-Rabigh Branch, King Abdulaziz University, Jeddah 21589, Saudi ArabiaThis research study investigated the transient behavior of the convection–diffusion model for the infiltration heat recovery (IHR) and the influence of the building envelope heat capacity, along with other factors. A transient numerical model was developed and validated to analyze the IHR under various conditions. The results highlight the role of heat capacity, thermal conductivity, wall thickness, airflow rate, airflow direction, and wall porosity on the temperature distribution and the heat recovery factor within the wall. Higher-heat-capacity walls displayed a delayed temperature rise, while low-thermal-conductivity walls reduced the conduction heat transfer and increased the IHR factor. The impact of heat capacity diminished with very low thermal conductivity walls but became evident for high-thermal-conductivity walls, particularly at higher Peclet numbers. Thicker walls enhanced the heat retention and improved the IHR, with a reduced influence of airflow rate. Higher IHR factors were associated with thicker walls, lower Peclet numbers, and higher heat capacities. The analysis also showed that the wall porosity affected the IHR with less significance than the other factors. Incorporating these findings into building energy modeling tools could improve the prediction accuracy of the thermal behavior of buildings. Accordingly, this study contributes to building physics by understanding IHR dynamics and thermal mass interactions, as well as improving building energy modeling accuracy for performance prediction. Future research can explore the impacts of additional factors on IHR and investigate the effect of IHR on the overall energy consumption of buildings.https://www.mdpi.com/1996-1073/16/20/7198infiltration heat recoverybuilding thermal masswall’s heat capacitynumerical modelingbreathing wall |
| spellingShingle | Alaa Alaidroos Transient Behavior Analysis of the Infiltration Heat Recovery of Exterior Building Walls Energies infiltration heat recovery building thermal mass wall’s heat capacity numerical modeling breathing wall |
| title | Transient Behavior Analysis of the Infiltration Heat Recovery of Exterior Building Walls |
| title_full | Transient Behavior Analysis of the Infiltration Heat Recovery of Exterior Building Walls |
| title_fullStr | Transient Behavior Analysis of the Infiltration Heat Recovery of Exterior Building Walls |
| title_full_unstemmed | Transient Behavior Analysis of the Infiltration Heat Recovery of Exterior Building Walls |
| title_short | Transient Behavior Analysis of the Infiltration Heat Recovery of Exterior Building Walls |
| title_sort | transient behavior analysis of the infiltration heat recovery of exterior building walls |
| topic | infiltration heat recovery building thermal mass wall’s heat capacity numerical modeling breathing wall |
| url | https://www.mdpi.com/1996-1073/16/20/7198 |
| work_keys_str_mv | AT alaaalaidroos transientbehavioranalysisoftheinfiltrationheatrecoveryofexteriorbuildingwalls |