2 research outputs found
Characterisation of hourly temperature of a thin-film module from weather conditions by artificial intelligence techniques
The aim of this paper is the use and validation of artificial intelligence techniques to predict the
temperature of a thin-film module based on tandem CdS/CdTe technology. The cell temperature of a module is
usually tens of degrees above the air temperature, so that the greater the intensity of the received radiation, the greater
the difference between these two temperature values. In practice, directly measuring the cell temperature is very
complicated, since cells are encapsulated between insulation materials that do not allow direct access. In the literature
there are several equations to obtain the cell temperature from the external conditions. However, these models use
some coefficients which do not appear in the specification sheets and must be estimated experimentally. In this work,
a support vector machine and a multilayer perceptron are proposed as alternative models to predict the cell
temperature of a module. These methods allow us to achieve an automatic way to learn only from the underlying
information extracted from the measured data, without proposing any previous equation. These proposed methods
were validated through an experimental campaign of measurements. From the obtained results, it can be concluded
that the proposed models can predict the cell temperature of a module with an error less than 1.5 °C.Universidad de Málaga. Campus de Excelencia Internacional AndalucĂa Tec
New software tool to characterize photovoltaic modules from commercial equipment
A software platform has been developed in order to unify the different measurements obtained from different manufacturers in the
photovoltaic system laboratory of the University of Malaga, Spain. These measurements include the current-voltage curve of PV
modules and several meteorological parameters such as global and direct irradiance, temperature and spectral distribution of solar irradiance. The measurements are performed in an automated way by a stand-alone application that is able to communicate with a pair of multimeters and a bipolar power supply that are controlled in order to obtain the current–voltage pairs. In addition, several magnitudes, that can be configured by the user, such as irradiance, module temperature or wind speed, are incorporated to register the conditions of each measurement. Moreover, it is possible to attach to each curve the spectral distribution of the solar radiation at each moment. Independently of the source of the information, all these measurements are stored in a uniform relational database. These data can be accessed through a public web site that can generate several graphics from the data.Universidad de Málaga. Campus de Excelencia Internacional AndalucĂa Tech. Junta de AndalucĂa. Proyecto de Excelencia P11-RNM-711