Experimental Application of Methods to Compute Solar Irradiance and Cell Temperature of Photovoltaic Modules

• Published in: Sensors (Basel, Switzerland) Switzerland), 2020-04, Vol.20 (9), p.2490
• Main Authors: Abe, Caio Felippe, Dias, João Batista, Notton, Gilles, Faggianelli, Ghjuvan Antone
• Format: Article
• Language: English
• Subjects: Accuracy; Alternative energy sources; Costs; Electric power; Electrical measurement; Engineering Sciences; estimation of PV cell temperature; estimation of solar irradiance; Irradiance; Iterative methods; Mean square errors; Methods; Parameter estimation; Photovoltaic cells; PV modeling; PV module as a sensor; Sensors; Solar Energy; Sunlight; Temperature; Temperature effects
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s20092490

solar irradiance and cell temperature are the most significant aspects when assessing the production of a photovoltaic system. To avoid the need of specific sensors for quantifying such parameters, recent literature presents methods to estimate them through electrical measurements, using the photovoltaic module itself as a sensor. This work presents an application of such methods to data recorded using a research platform at University of Corsica, in France. The methods and the platform are briefly presented and the results are shown and discussed in terms of normalized mean absolute errors (nMAE) and root mean square errors (nRMSE) for various irradiance and cell temperature levels. The nMAE (and nRMSE) for solar irradiance are respectively between 3.5% and 3.9% (4.2% and 4.7%). Such errors on computed irradiance are in the same order of magnitude as those found in the literature, with a simple implementation. For cell temperatures estimation, the nMAE and nRMSE were found to be in the range 3.4%-8.2% and 4.3%-10.7%. These results show that using such methods could provide an estimation for the values of irradiance and cell temperature, even if the modules are not new and are not regularly cleaned, but of course not partially shaded.