Random rough textures can increase the absorbing efficiency of solar cells by trapping the optical light and increasing the optical path of photons, and in turn increases the effectiveness of solar panels.
In this talk, I will briefly describe the mechanism and the mathematical modeling of thin film solar cells to start with. Then I will describe how to use mathematical shape control methods to optimally design of random rough surfaces in thin-film solar cells. Finally I will use numerical experiments to show that optimally obtained random textures yield an enormous absorption enhancement, and thus increase the solar panel's energy efficiency. In addition, I will show how the stochastic gradient descent method can significantly save the computing cost.
曹延昭,美国Auburn University数学与统计学系教授。主要从事偏微分方程数值解、随机偏微分方程数值解等方面的研究。 1996年获弗吉尼亚理工学院数学博士学位。现为数值分析方面的顶级刊物《SIAM Journal on Numerical Analysis》编委。其随机计算方面的研究得到美国自然基金的长期资助。