Open AccessDynamic modeling and practical verification of a photovoltaic and thermal composite module system
Author(s) -
Jiyong Li,
Min Chen,
Jigang Wang
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/612/3/032053
Subject(s) - photovoltaic system , cascade , approximation error , energy (signal processing) , computer science , solar energy , thermal , transfer (computing) , control theory (sociology) , simulation , environmental science , control (management) , algorithm , meteorology , engineering , mathematics , statistics , artificial intelligence , electrical engineering , physics , chemical engineering , parallel computing
In order to further improve the prediction accuracy of PV/T module temperature, this paper conducts dynamic modeling of PV/T module heat transfer mechanism based on lumped parameter method. The accuracy of the dynamic model was verified by experiments on typical sunny and cloudy days. The experimental results show that the maximum relative errors of the predicted values in sunny and cloudy weather are 7.8% and 7.6% respectively. The average relative errors were 4.31% and 4.37% respectively. The average absolute error is 2.04°C, 1.94°C. Compared with the existing neural network prediction methods, the mathematical model has higher prediction accuracy and shorter prediction period. This model can be used for PV/T system to formulate accurate control strategy in advance according to the temperature change situation, so as to optimize the energy saving during system operation. It can also be used for establishing the overall energy transfer model of PV/T system, realizing the coordinated control of thermal energy and electric energy and the cascade utilization of solar energy.