Sergeant Nicholas P, Pincon Olivier, Agrawal Mukul, Peumans Peter
Dept. of Electrical Engineering, Stanford University, Stanford, CA 94305, USA.
Opt Express. 2009 Dec 7;17(25):22800-12. doi: 10.1364/OE.17.022800.
Spectral control of the emissivity of surfaces is essential in applications such as solar thermal and thermophotovoltaic energy conversion in order to achieve the highest conversion efficiencies possible. We investigated the spectral performance of planar aperiodic metal-dielectric multilayer coatings for these applications. The response of the coatings was optimized for a target operational temperature using needle-optimization based on a transfer matrix approach. Excellent spectral selectivity was achieved over a wide angular range. These aperiodic metal-dielectric stacks have the potential to significantly increase the efficiency of thermophotovoltaic and solar thermal conversion systems. Optimal coatings for concentrated solar thermal conversion were modeled to have a thermal emissivity <7% at 720K while absorbing >94% of the incident light. In addition, optimized coatings for solar thermophotovoltaic applications were modeled to have thermal emissivity <16% at 1750K while absorbing >85% of the concentrated solar radiation.
为了实现尽可能高的转换效率,表面发射率的光谱控制在太阳能热和热光伏能量转换等应用中至关重要。我们研究了用于这些应用的平面非周期性金属-电介质多层涂层的光谱性能。基于传输矩阵方法,使用针状优化针对目标工作温度对涂层的响应进行了优化。在很宽的角度范围内都实现了出色的光谱选择性。这些非周期性金属-电介质堆叠结构有潜力显著提高热光伏和太阳能热转换系统的效率。针对聚光太阳能热转换的最佳涂层经建模在720K时热发射率<7%,同时吸收>94%的入射光。此外,针对太阳能热光伏应用的优化涂层经建模在1750K时热发射率<16%,同时吸收>85%的聚光太阳辐射。