Wang Qixiang, Huang Zhequn, Li Jiazhou, Huang Guan-Yao, Wang Dewen, Zhang Heng, Guo Jiang, Ding Min, Chen Jintao, Zhang Zihan, Rui Zhenhua, Shang Wen, Xu Jia-Yue, Zhang Jian, Shiomi Junichiro, Fu Tairan, Deng Tao, Johnson Steven G, Xu Hongxing, Cui Kehang
School of Materials Science and Engineering, State Key Laboratory of Metal Matrix Composites, Center for Hydrogen Science, Shanghai Jiao Tong University, Shanghai200240, China.
Zhiyuan Innovative Research Center, Shanghai Jiao Tong University, Shanghai200240, China.
Nano Lett. 2023 Feb 22;23(4):1144-1151. doi: 10.1021/acs.nanolett.2c03476. Epub 2023 Feb 7.
Thermophotovoltaic (TPV) generators provide continuous and high-efficiency power output by utilizing local thermal emitters to convert energy from various sources to thermal radiation matching the bandgaps of photovoltaic cells. Lack of effective guidelines for thermal emission control at high temperatures, poor thermal stability, and limited fabrication scalability are the three key challenges for the practical deployment of TPV devices. Here we develop a hierarchical sequential-learning optimization framework and experimentally realize a 6″ module-scale polaritonic thermal emitter with bandwidth-controlled thermal emission as well as excellent thermal stability at 1473 K. The 300 nm bandwidth thermal emission is realized by a complex photon polariton based on the superposition of Tamm plasmon polariton and surface plasmon polariton. We experimentally achieve a spectral efficiency of 65.6% (wavelength range of 0.4-8 μm) with statistical deviation less than 4% over the 6″ emitter, demonstrating industrial-level reliability for module-scale TPV applications.
热光伏（TPV）发电机通过利用局部热发射器将来自各种来源的能量转换为与光伏电池带隙匹配的热辐射，从而提供连续且高效的功率输出。缺乏高温下热发射控制的有效指导方针、热稳定性差以及制造可扩展性有限，是TPV器件实际应用面临的三个关键挑战。在此，我们开发了一种分层顺序学习优化框架，并通过实验实现了一个6英寸模块规模的极化热发射器，其具有带宽可控的热发射以及在1473 K时出色的热稳定性。300 nm带宽的热发射是通过基于塔姆表面等离激元极化子和表面等离激元极化子叠加的复合光子极化激元实现的。我们通过实验在6英寸发射器上实现了65.6%的光谱效率（波长范围为0.4 - 8μm），统计偏差小于4%，证明了其在模块规模TPV应用中的工业级可靠性。
