中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Modeling and simulation of a photovoltaic thermal-compound thermoelectric ventilator system

文献类型:期刊论文

作者Liu, Zhongbing1; Zhang, Yelin1; Zhang, Ling1; Luo, Yongqiang1; Wu, Zhenghong1; Wu, Jing1; Yin, Yingde2; Hou, Guoqing3
刊名APPLIED ENERGY
出版日期2018-10-15
卷号228页码:1887-1900
关键词Solar energy Photovoltaic thermal (PVT) Thermoelectric Energy recovery COP
ISSN号0306-2619
DOI10.1016/j.apenergy.2018.07.006
通讯作者Zhang, Ling(lingzhang@hnu.edu.cn) ; Luo, Yongqiang(luoroger@yeah.net)
英文摘要This paper presents a dynamic model for a photovoltaic thermal-compound thermoelectric ventilator (PVT-TEV) system, in which photovoltaic thermal (PVT) collector generates electricity in winter and simultaneously pre-heats the fresh air to achieve comprehensive utilization of solar energy. The preheated fresh air is further heated by the thermoelectric ventilator (TEV) and then pumped into the indoor room. The PVT-TEV system has the function of the sunshade, power generation, waste heat recovery and fresh air supply for buildings. The model is validated by the data collected from PVT-TEV system under real climate conditions. The results show that the simulated value is in good agreement with the experimental value. The performance of the PVT-TEV system under different working condition is also analyzed by using the model. Increasing the fresh air mass flow rate can improve the electrical and heating performance of PVT-TEV system. However, the total coefficient of performance (COPtotal) of PVT-TEV system does not grow when the fresh airflow rate rises from 93 m(3)/h to 123 m(3)/h and 153 m(3)/h due to the increase of fan power. The heat gain of the TEV system and the fresh air outlet temperature of the PVT-TEV increase with the working current. The growth of indoor temperature can improve the performance of PVT-TEV system. The model of PVT-TEV system proposed in this paper provides a foundation for the structural design and annual performance optimization of PVT-TEV system.
WOS关键词MULTIOBJECTIVE OPTIMIZATION ; ENERGY ; PV ; TECHNOLOGIES ; PERFORMANCE ; PARAMETERS ; DESIGN
资助项目National Natural Science Foundation of China[51708194] ; National Natural Science Foundation of China[51578221] ; National Natural Science Foundation of China[5150714] ; National Natural Science Foundation of Hunan province China[2015JJ4002]
WOS研究方向Energy & Fuels ; Engineering
语种英语
WOS记录号WOS:000453489800062
出版者ELSEVIER SCI LTD
资助机构National Natural Science Foundation of China ; National Natural Science Foundation of Hunan province China
源URL[http://ir.giec.ac.cn/handle/344007/24455]  
专题中国科学院广州能源研究所
通讯作者Zhang, Ling; Luo, Yongqiang
作者单位1.Hunan Univ, Coll Civil Engn, Changsha 410082, Hunan, Peoples R China
2.Chinese Acad Sci, Guangzhou Inst Energy Convers, Beijing, Peoples R China
3.China Machinery Int Engn Design & Res Inst Co Ltd, Changsha, Hunan, Peoples R China
推荐引用方式
GB/T 7714
Liu, Zhongbing,Zhang, Yelin,Zhang, Ling,et al. Modeling and simulation of a photovoltaic thermal-compound thermoelectric ventilator system[J]. APPLIED ENERGY,2018,228:1887-1900.
APA Liu, Zhongbing.,Zhang, Yelin.,Zhang, Ling.,Luo, Yongqiang.,Wu, Zhenghong.,...&Hou, Guoqing.(2018).Modeling and simulation of a photovoltaic thermal-compound thermoelectric ventilator system.APPLIED ENERGY,228,1887-1900.
MLA Liu, Zhongbing,et al."Modeling and simulation of a photovoltaic thermal-compound thermoelectric ventilator system".APPLIED ENERGY 228(2018):1887-1900.

入库方式: OAI收割

来源:广州能源研究所

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