Design of experiments approach for modeling the electrical response of a photovoltaic module

Abstract

<p>In the current paper, modeling and evaluation of the significant effect of<br />independent variables on the behavior of the electrical response of a multi-<br />crystalline photovoltaic (PV) module using design of experiments (DoE)<br />approach is simulated. The main purpose of this contribution is to evaluate<br />the maximum power response dependence within the indoor conditions of<br />both variations of solar irradiation and surface temperature and checking the<br />pertinent one on the defined response. The DoE approach is used for<br />estimating both main and combined effect of the two independents<br />considered variables. Multiple linear regression was been introduced to<br />justify the relationship between the independent input variables and<br />dependent output variable, also to determine which input factor is the most<br />significant on the output variable. The DoE model can be used for predicting<br />the response variable at different operating condition in a considered domain<br />study. In addition, DoE approach based on statistical tool for analyzing the<br />accuracy of the predictive model, then the significance of coefficients in the<br />predictive model using statistical and graphical analysis. Therefore, an<br />ANOVA Table can summarize the results, detect the parameters influences<br />on responses variations and determine the best predictive model then<br />reproduce the most possible the experimental data.</p>