Research on low energy joint optimization of dynamic thermal environment coupled with passenger cabin and air conditioning systems
This study establishes a model for the coupling of passenger compartment and air-conditioning systems. The model takes human thermal comfort as the evaluation index, which can achieve dynamic data exchange during the transient calculation process, and control the air-conditioning systems with the core goal of reducing energy consumption. The optimal air supply angle and air distribution ratio were analyzed using this model. When the external environment changes, the air supply parameters corresponding to the lowest energy consumption are analyzed based on the air conditioning system with optimal air supply angle and air distribution ratio. The results show that the best direct blowing position is the neck. When the air distribution ratio of the driver's left air outlet is 25 %, the overall thermal comfort value of the dummy is the best. The overall thermal comfort of the dummy was maintained at the optimal value with an air speed of 8 m/s for dynamic external environments, but this air speed was not the lowest energy consumption. Subsequently, under the premise of maintaining the comfort of the dummy, the fitted curves of the air supply speed that minimizes the energy consumption are obtained by comparing the energy consumption under different air supply speeds. • A model of dynamic coupling passenger compartment and air-conditioning systems is developed. • Transient calculation of human thermal comfort using field functions. • The Berkeley thermal comfort evaluation model is integrated to control the air conditioning system. • Optimize the air conditioning supply position and angle to reduce energy consumption.
Authors
- Guohua Wang (ORCID: https://orcid.org/0000-0001-9022-5761)
- Yongzhen Wang (ORCID: https://orcid.org/0000-0002-7477-9876)
- Yingchao Zhang (ORCID: https://orcid.org/0000-0003-2903-2287)
- Yi Lu (ORCID: https://orcid.org/0009-0004-5434-3428)
- Guo-wei Sang
Institutions
- Jilin University (CN)
Publication Details
- Journal
- Case Studies in Thermal Engineering
- Published
- 2024-10-22
- DOI
- https://doi.org/10.1016/j.csite.2024.105332
- Citations
- 5
- Primary Topic
- Refrigeration and Air Conditioning Technologies
- Type
- article
- Field-Weighted Citation Impact
- 1.06