Study on Optimization Design of Filter in Thermophotovoltaic System
Thermophotovoltaic(TPV)system can break through the efficient limit of traditional solar photovoltaic systems and is potential to become a new way of solar energy and waste heat collection and utilization.The filter,as a key component,is crucial for improving the energy conver-sion efficiency of the system,which transmits high-energy photons and reflects low-energy photons for reuse.Most of the existing researches are one-dimensional photonic crystal(1D PhC)structures based on manually designed and optimization,which are complicated and inefficient and require further improvement in performance.In this work,based on materials informatics,the Monte Carlo Tree Search(MCTS)algorithm is adopted to design and optimize the 1D PhC filter.The optimal structure is quickly obtained in a large optimization space,and the corresponding conversion effi-ciency of the TPV system reaches 44.3％.The effects of emitter temperature and angle of incidence on system performance is investigated,and the results demonstrate the superiority of the optimized filter performance.
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