Assessment of the Operating Temperature of Crystalline PV Modules Based on Real Use Conditions

Abstract

Determining the operating temperatureTcof photovoltaic panelsPVis important in evaluating the actual performance of these systems. In the literature, different correlations exist, in either explicit or implicit forms, which often do not account for the electrical behaviour of panels; in this way, estimatingTcis based only on the passive behaviour of thePV. In this paper, the authors propose a new implicit correlation that takes into account the standard weather variables and the electricity production regimes of aPVpanel in terms of the proximity to the maximum power points. To validate its reliability, the new correlation was tested on two different PV panels (Sanyo and Kyocera panels) and the results were compared with values obtained from other common correlations already available in the literature. The data show that the quality of the new correlation drastically improves the estimation of the photovoltaic operating temperature.

A New Dynamic Model to Predict Transient and Steady State PV Temperatures Taking into Account the Environmental Conditions

“…Therefore, the effect of the characteristics of the layers of the module on the time constant is expressed mainly through (mc) ef in Equations (32) and (34), which proportionally affects τ. For example, the effect of the EVA encapsulant alone is significant as may be estimated using Equation (30) for the modules used in the study the EVA has 15% contribution in the module (mc) ef value, leading to a larger time constant (by 15%) and more pronounced transient phenomena.…”

“…A comparison among the models is necessary as to conclude on the conditions T pv is predicted effectively and consistently. It is, therefore, necessary to compare T pv models extensively to examine their validity in any PV configuration as the ones studied in [20,[26][27][28][29].A time dependent temperature profile is developed in a PV cell when under solar irradiance, I T , [8,30]. The latter is the main factor contributing to the development of the temperature profile in which the ambient temperature T a and the wind speed play a role too.…”

“…A time dependent temperature profile is developed in a PV cell when under solar irradiance, I T , [8,30]. The latter is the main factor contributing to the development of the temperature profile in which the ambient temperature T a and the wind speed play a role too.…”

Prediction of Solar Irradiance Based on Artificial Neural Networks

“…This paper proposes an ANN to predict solar irradiance based on real measurements of I-V curve parameters for a PV module. These essential parameters change with irradiance and PV cell temperature [8]. Therefore, measurement of these parameters can be used as input data for pretrained neural network (NN) to predict the irradiance value.…”

A Multicriteria Analysis of Photovoltaic Systems: Energetic, Environmental, and Economic Assessments

“…PV power is currently one of the fastest growing power-generation technologies at the worldwide level, mostly driven by technological improvements that reduced costs and government policies supportive of renewable energy [7,8]. PV energy is a sustainable choice for the future and there were 37 GW of PV systems installed in 2013 at the worldwide level, which represents an increase of 36% with respect to previous year [9].…”