The DoE method as an efficient tool for modeling the behavior of monocrystalline Si-PV module

Abstract

Abstract. The objective of this paper is to apply the Design of Experiments (DoE) method to study and to obtain a predictive model of any marketed monocrystalline photovoltaic (mc-PV) module. This technique allows us to have a mathematical model that represents the predicted responses depending upon input factors and experimental data. Therefore, the DoE model for characterization and modeling of mc-PV module behavior can be obtained by just performing a set of experimental trials. The DoE model of the mc-PV panel evaluates the predictive maximum power, as a function of irradiation and temperature in a bounded domain of study for inputs. For the mc-PV panel, the predictive model for both one level and two levels were developed taking into account both influences of the main effect and the interactive effects on the considered factors. The DoE method is then implemented by developing a code under Matlab software. The code allows us to simulate, characterize, and validate the predictive model of the mc-PV panel. The calculated results were compared to the experimental data, errors were estimated, and an accurate validation of the predictive models was evaluated by the surface response. Finally, we conclude that the predictive models reproduce the experimental trials and are defined within a good accuracy.

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

“…The DoE leads to deduce a mathematical model of complete factorial design of the response according to the factors that can vary in a bonded study domain limiting the input parameters variations [28][29][30]. In the absence of any experimental data connecting the response to the factors , the DoE method makes it easy to establish predictive mathematical relationships of the response as follows:…”

Effect of Polyolefin Elastomers’ Characteristics and Natural Magnesium Hydroxide Content on the Properties of Halogen-Free Flame-Retardant Polyolefin Composites

“…In the DoE, the domain of the study was limited between two levels: "lower level" and "upper level" (levels −1 and 1, respectively) [22,23]. The intersection of these factor levels gives an "experimental point" [24,25].…”