Theoretical Modeling and Analysis of Energy Recovery Efficiency and Influencing Factors of Energy Recovery Ventilators Under Dynamic Thermal Environments

Energy recovery ventilators are essential for reducing building energy consumption, with the dynamic variation in their efficiency being a significant area of current research. To quickly analyze the parameters affecting the dynamic changes in energy recovery efficiency, this study develops a mathematical model for heat and moisture transfer. The model was validated through computational fluid dynamics (CFD) simulations and experimental data. The validation results showed that the discrepancies between the model’s sensible heat and enthalpy efficiencies and the experimental data were approximately 4%, while the error range for sensible heat efficiency compared to CFD simulations was between 3% and 7%. This model was used to evaluate various factors affecting energy recovery efficiency. The findings show that outdoor temperature and relative humidity have little effect on sensible heat efficiency, whereas latent heat efficiency increases with rising outdoor temperature and humidity. Both sensible and latent heat efficiency improve as airflow decreases, with latent heat efficiency being more sensitive to changes in airflow. Additionally, due to the very thin heat exchanger membrane, the mass diffusion coefficient has a more significant effect on efficiency than the thermal conductivity coefficient. In conclusion, energy recovery efficiency is dynamic, and the proposed model provides rapid predictions of how influencing factors affect the efficiency.

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Publication Details

Journal
Sustainability
Published
2025-05-15
DOI
https://doi.org/10.3390/su17104509
Citations
2
Primary Topic
Adsorption and Cooling Systems
Type
article
Field-Weighted Citation Impact
1.43

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article

Theoretical Modeling and Analysis of Energy Recovery Efficiency and Influencing Factors of Energy Recovery Ventilators Under Dynamic Thermal Environments

H.C Li, Jinzhe Nie, Honghao Huang, Ying Sheng et al.
2 citations
Sustainability
Adsorption and Cooling Systems
1.43
article

Theoretical Modeling and Analysis of Energy Recovery Efficiency and Influencing Factors of Energy Recovery Ventilators Under Dynamic Thermal Environments

H.C Li, Jinzhe Nie, Honghao Huang, Ying Sheng, Wen Zhang, Huanyu Wang
article en
2 citations

Abstract

Energy recovery ventilators are essential for reducing building energy consumption, with the dynamic variation in their efficiency being a significant area of current research. To quickly analyze the parameters affecting the dynamic changes in energy recovery efficiency, this study develops a mathematical model for heat and moisture transfer. The model was validated through computational fluid dynamics (CFD) simulations and experimental data. The validation results showed that the discrepancies between the model’s sensible heat and enthalpy efficiencies and the experimental data were approximately 4%, while the error range for sensible heat efficiency compared to CFD simulations was between 3% and 7%. This model was used to evaluate various factors affecting energy recovery efficiency. The findings show that outdoor temperature and relative humidity have little effect on sensible heat efficiency, whereas latent heat efficiency increases with rising outdoor temperature and humidity. Both sensible and latent heat efficiency improve as airflow decreases, with latent heat efficiency being more sensitive to changes in airflow. Additionally, due to the very thin heat exchanger membrane, the mass diffusion coefficient has a more significant effect on efficiency than the thermal conductivity coefficient. In conclusion, energy recovery efficiency is dynamic, and the proposed model provides rapid predictions of how influencing factors affect the efficiency.

SustainabilityVol. 17(10)
Tianjin University (CN), Chery Automobile (China) (CN), Beijing University of Civil Engineering and Architecture (CN)
National Natural Science Foundation of China, Beijing University of Civil Engineering and Architecture
Openalex Percentile: Top 20%
Adsorption and Cooling Systems
1.43
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