热光伏电池是一种应用前景广阔的固态能量转换系统，但其红外光谱附近转换效率低、功率密度低，且工作温度高。针对这些问题，本项目以热光伏电池为基础，结合热离子发射、电致发光和热辐射，构建类热光伏能量转换系统新模型，主要包括热离子-热光伏能量转换、热光子能量转换和热辐射-热光伏能量转换等系统，引入多种表面等离子激元和光谱分频方法的新型光谱转换方法，为热光伏能量转换系统性能的有效提升提供保障；探索近场效应下类热光伏能量转换系统内能量转换和输运机理、光谱调控机理以及能量匹配机制，阐明不同表面等离子激元在光热能量转换中的机制和光谱分频系统中的能量匹配机理，揭示类热光伏能量转换系统中热流输运及能量转换的新现象和新规律。进一步分析运行参数及工作条件对系统性能的影响，获得提高系统性能的优化方案。本项目不仅可促进对类热光伏能量转换系统机理的认识，且可为不同表面等离子激元和光谱分频方法在光谱匹配方面的应用提供理论

The thermophotovoltaic cell (TPVC) is one of solid-state energy conversion systems and has wide application foreground, but it has low efficiency around the infrared spectrum, low power density, and high operating temperatures. To solve these problems, based on the thermophotovoltaic cell, we will combine thermionic, electroluminescence, and thermoradiation to establish the new models of the thermophotovoltaic-like energy conversion systems that include thermionic-thermophotovoltaic, thermophotonics, and thermoradiative-thermophotovoltaic energy conversion systems. The new spectrum matching methods using varietal surface plasmons and spectrum splitting approaches will be introduced to provide a guarantee for the efficient enhancement of the performance. The energy conversion and transport mechanisms, spectrum control, and energy matching mechanisms will be explored in the thermophotovoltaic-like energy conversion systems with near-field effect. The mechanisms of photon-to-thermal energy conversion in varietal surface plasmons and energy matching in spectrum splitting will be elucidated. Some new phenomena and rules of energy conversion and transfer in the thermophotovoltaic-like energy conversion systems will be revealed. The influences of operating parameters and working conditions on the systems will be further analyzed, and optimal strategies for improving the system performances will be determined. The results obtained from this project will not only promote the understanding of the mechanisms of the thermophotovoltaic-like energy conversion systems but also provide a theoretical foundation for the spectrum matching using varietal surface plasmons and spectrum splitting approach and offer some theoretical guide for performance optimization and configuration of thermophotovoltaic-like energy conversion systems.