Photovoltaic Panel Performance Study

Photovoltaic Panel Performance Study

Extraction of the parameters of the single-diode photovoltaic model to determine the behaviour of a photovoltaic panel under specific environmental conditions. The data used may come from actual measurements or from the information provided by the manufacturer in the solar panel datasheet.

TECHNOLOGY DESCRIPTION

Different parameter extraction methods published in internationally renowned scientific journals are available. One of them achieves the best results to date in two case studies commonly used for comparing methods. This method is available on the website https://pvmodel.umh.es/

TECHNOLOGY APPLICATIONS

It is possible to obtain essential information for the construction and subsequent real-time monitoring of a solar panel’s performance, and the quality of this information improves as the accuracy of the parameters obtained increases. This knowledge can be made available both to photovoltaic panel installation companies, to identify the panel’s maximum performance point, and to panel manufacturers, to identify the best materials and initial settings for maximising panel performance.

ADVANTAGES AND INNOVATIVE ASPECTS

The methods developed are the most accurate to date, operate automatically without user intervention, are fast and can be easily programmed. Based on the results obtained using the method, panel performance can be improved by applying different calculation methods and considering temperature and cell-related parameters.

DEVELOPMENT STAGE

Fully operational. The knowledge has been consolidated and is ready for immediate implementation. The tool is already available in a functional form to the technical community through the university’s web platform (pvmodel.umh.es).

APPLICATION SECTORS

  • Energy and Utilities (Renewable Energy).
  • Energy Engineering and Consultancy.
  • Electronic and Photovoltaic Component Manufacturing.
  • Smart Cities and Industrial Self-Consumption.

PRINCIPAL INVESTIGATOR

Francisco Javier Toledo Melero – Centre for Operations Research