A Novel and General Stochastic Model of Photovoltaic Devices

1033615 rocket intellectual meritit提出的研究将开发一种先进的数值模拟程序，用于模拟太阳能光伏（PV）设备，该程序依赖于一种新的随机方法来准确描述真实的设备环境。该模型还将实现对新型光伏结构器件性能的现实预测。这一功能将使太阳能光伏研究界能够更好地评估新设备概念的优点。所提出的建模活动旨在从根本上改进目前太阳能光伏装置的模拟方式。现有模型明确地同时求解描述载流子生成、输运和重组的方程。然而，提出的模型将是随机的，使用随机过程来填充和空状态，类似于真实的设备环境。随机方法应在模拟结果的稳定性和可靠性方面提供显著的改进，并且比现有的建模方法更适用于更复杂的物理和几何形状。建模程序还将包括一个自动数据拟合程序，以从常见的用户提供的性能数据（例如电压-光电流特性）中提取设备特性（例如缺陷水平的估计）。更广泛的影响完成的软件包将在开源环境中提供，可在网上访问，并包括一个模型输入参数（如材料属性）的公共数据库。它的设计目的是让普通行业用户可以访问一个复杂而强大的模型，用于从用户提供的数据中模拟或分析太阳能光伏设备的性能。将开发该软件包的教育版本，供本科和研究生课程使用。所有这些活动将由两名研究生和两名本科生组成的团队进行，他们将获得开发创新软件工具的专业知识，这些工具将支持太阳能光伏研究界和行业，并促进学生的学习。

1033615RockettIntellectual MeritThe proposed research will develop an advanced numerical modeling program for simulation of solar photovoltaic (PV) devices that relies on a new stochastic approach to accurately depict the real device environment. The model will also enable the realistic prediction of device performance for novel PV structures. This functionality will allow the solar PV research community to better assess the merits of new device concepts.The proposed modeling activities are designed to make fundamental improvements in the way solar PV devices are currently simulated. Existing models explicitly and simultaneously solve the equations that describe carrier generation, transport, and recombination. However, the proposed model will be stochastic, using random processes to fill and empty states, similar to the true device environment. The stochastic approach should provide a significant improvement in stability and reliability of the simulation results, and is adaptable to more complex physics and geometries than existing modeling approaches. The modeling program will also include an automated data fitting routine to extract device characteristics (e.g. estimation of defect levels) from common, user-supplied performance data (e.g. voltage-photocurrent characteristics).Broader ImpactsThe completed software package will be made available in an open source environment, be web accessible, and include a public database of model input parameters such as material properties. It will be designed so that casual industry users can access a sophisticated and robust model for simulation or analysis of solar PV device performance from user-supplied data. An educational version of the software package will be developed for use in undergraduate and graduate courses. All of these activities will be carried out by a team of two graduate and two undergraduate students, who will gain expertise in the development of innovative software tools that will support the solar PV research community, industry, and promote student learning.