热光伏系统中滤光器的优化设计研究

Study on Optimization Design of Filter in Thermophotovoltaic System

热光伏系统能够突破传统太阳能光伏系统的效率极限并有望成为新的太阳能和废热收集利用方式。滤光器作为其中的关键部件,对于提高系统的能量转化效率至关重要,其透射高能光子,并将低能光子反射以再利用。已有的研究大多是人工设计优化的一维光子晶体结构,其设计过程繁琐,效率低下,性能也有待进一步提高。本文基于材料信息学,采用蒙特卡洛树搜索算法对一维光子晶体滤光器进行优化设计,在大优化空间下快速地获得了最优结构,对应的热光伏系统能量转化效率高达44.3%。探究了辐射器温度和辐射入射角对系统性能的影响,结果展现了优化所得滤光器性能的优越性。

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 eficiency of the system,which transmits high-energy photons and refects 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 eff-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 filterperformance.