Using full factorial experiment to simulate electricity generation by solar batteries

A. A. Yefimenko, O. Logvinov, L. I. Prisyazhniuk
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Abstract

The amount of electrical energy generated by solar batteries (SB) depends significantly on their position relative to the Sun. The presence of dependencies of the initial parameter of the SB on the factors determining this position allows finding the optimal orientation of fixed or partially fixed SBs. This paper presents the results of the study on the conditions of using a full factorial experiment for creating mathematical models — regression equations — to simulate the operation of solar batteries under the condition of reducing the amount of field tests necessary for this. It is shown that the simulation accuracy significantly depends on the range of factor values. The conducted study demonstrates that the use of a full factorial experiment in the range of factor values approaching all possible is appropriate for preliminary simulation of the solar battery operation and an approximate assessment of the simulation results in connection with significant errors. Narrowing the range of factor values significantly reduces the deviations of simulation results from experimental data, which in many cases can be accepted, especially if the simulation results are used for specific operating conditions of the solar cell. In order to create mathematical models that would more accurately approach the actual ones obtained experimentally, it is necessary to use dependencies for concretized values of factors.
利用全因子实验模拟太阳能电池发电
太阳能电池(SB)产生的电能的数量在很大程度上取决于它们相对于太阳的位置。SB的初始参数对决定该位置的因素的依赖关系的存在允许找到固定或部分固定SB的最佳方向。本文介绍了在减少必要的实地试验次数的条件下,利用全析因试验建立数学模型——回归方程——来模拟太阳能电池的运行情况的研究结果。仿真结果表明,仿真精度与因子值的取值范围有很大关系。所进行的研究表明,在接近所有可能的因子值范围内使用全因子实验适合于太阳能电池运行的初步模拟和与重大误差有关的模拟结果的近似评估。缩小因子值的范围大大减少了模拟结果与实验数据的偏差,这在许多情况下是可以接受的,特别是当模拟结果用于太阳能电池的特定工作条件时。为了建立更接近实验结果的数学模型,有必要对因子的具体值使用依赖关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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