4th Asia Conference of International Building Performance Simulation Association | |
An optimization study into thermally activated wall system with latent heat thermal energy storage | |
土木建筑工程 | |
Klimes, Lubomir^1 ; Charvát, Pavel^2 ; Ostrý, Milan^3 | |
Sustainable Process Integration Laboratory - SPIL, NETME Centre, Brno University of Technology, Technická 2896/2, Brno | |
61669, Czech Republic^1 | |
Energy Institute, NETME Centre, Brno University of Technology, Technická 2896/2, Brno | |
61669, Czech Republic^2 | |
Institute of Building Structures, Brno University of Technology, Veveí 331/95, Brno | |
60200, Czech Republic^3 | |
关键词: Heating and cooling; Latent heat thermal energy storage; Microencapsulated phase change material; Optimization modeling; Optimization studies; Particle swarm optimization method; Thermal energy systems; Thermally activated; | |
Others : https://iopscience.iop.org/article/10.1088/1755-1315/238/1/012016/pdf DOI : 10.1088/1755-1315/238/1/012016 |
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学科分类:土木及结构工程学 | |
来源: IOP | |
【 摘 要 】
Thermally activated building structures with latent heat thermal energy storage (LHTES) are relatively new elements of building thermal energy systems. The system considered in the present study involved lightweight wall panels with a plaster containing a microencapsulated phase change material (PCM). The polyethylene tubes of small diameter for heat transfer fluid were embedded in the plaster. The wall panel system could be used for both heating and cooling. The PCM provided short-term thermal energy storage in case of intermittent supply of heat and cold (e.g. in case of a PV powered heat pump). A 1D computer model of the wall system was developed and implemented as a TRNSYS type. Consequently, an optimization model based on the 1D model of the system was developed. The optimization model employed a metaheuristic particle swarm optimization method. The aim of the optimization was to determine the position of the tubes for HTF, relative to the surface of the panel, that would provide fast thermal response and, at the same time, high amount of stored heat. The optimization was performed for heating operation.
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