Gemelo Digital para la predicción de fallas en Sistemas Fotovoltaicos conectados a red durante la vida útil

Based on the Research Strengthening Activity entitled “Reliability in photovoltaic systems in urban environments: development of a new line of research at the School of Industrial Production Engineering” during the period 2024, it was determined through the exhaustive bibliographic study that the main actors such as manufacturers, commercial service and installation organizations and government entities in the photovoltaic field do not have fault databases available to the general public and can be taken as a reference for estimating the reliability of photovoltaic systems (SFV). In effect, it is determined that researchers take scientific articles from databases that other researchers have referred to their studies and approaches of interest, generating a cycle of references to other references, where no objective evidence of the original fault databases was found.
The sources or fault databases are a critical factor for the success of the project. The databases found contain data on PV system operating variables such as location, date-time, input and output power, climatic and topographic conditions that affect the performance and degradation of photovoltaic systems. These represent variables or parameters in operating models in terms of system availability and maintainability. Based on this available information, it is proposed to develop a study focused on predictive models of useful life through a digital twin that allows comparability and achieves the characterization of photovoltaic systems connected to the grid, since this type of typology is applicable to any place in the world.
The expected results of the digital twin are to understand with greater accuracy and precision the behavior of the PV system through its predictive variables associated with the typology and configuration of the system in its main components. It is expected to establish the Useful Life Cycle of the system with respect to time through the analysis of stability, trends, patterns and peculiarities with the purpose of identifying aspects of degradation, possible failure modes and failure prediction during the useful life. These factors will provide inputs for designing contingency proposals for risk management of the expected results at each stage. However, there will be a special focus on the particular conditions of the country that contribute to the degradation of these systems. In addition, an expected product of the research process is the preparation of a scientific article to maximize the exchange of knowledge and the dissemination of results in prestigious scientific publications towards the knowledge society.

Desarrollo de un Gemelo digital para la predicción de fallas en Sistemas Fotovoltaicos conectados a red durante la vida útil.

Estadística aplicada y Gestión de la Calidad