Título: Modeling of PV-based Energy Systems from Devices to Renewable Energy Communities
Ponente: Antonino Laudani (Università di Catania)
Fecha y hora: 29/10/2024, 12:30
Inscripción online (cierre 30 minutos antes del inicio): https://forms.gle/VniTAiJ1BEnKmdjT8
Lugar: Sala de Seminarios del Edificio Torretamarit (CIO) y online
Organizador:Francisco Javier Toledo Melero
Abstract:
In recent years, the energy sector has undergone a rapid transformation aimed at minimizing the environmental impact associated with energy production. This change is largely driven by climate and social crises, the limited nature of fossil fuel resources and concerns over energy security. All this involves the creation of a new social framework focused on the production and consumption of energy from renewable energy sources (RES). It has therefore become increasingly important to redefine the structure and concept of energy production and consumption on a global scale. The main objective of this seminar is to present models for the production and consumption of energy from renewable sources, in particular solar energy, from various perspectives and levels. Translating physical phenomena into models can be useful for understanding and predicting the complexities of the natural world. By representing real scenarios through relationships between different physical quantities, it is possible to analyse and predict the behaviour of systems on different scales, from the microscopic to the macroscopic. Numerical models provide a framework for testing hypotheses and conducting virtual experiments, thus reducing dependence on expensive and time-consuming physical tests. In the renewable energy sector, these models are widely used to simulate and optimise various processes, serving as important tools for national energy planning and the promotion of global growth. In particular, in the context of solar energy, models are able to predict the expected output of photovoltaic (PV) systems based on factors such as sunlight intensity, panel orientation and temperature. These models are useful for designing efficient solar parks, predicting the optimal placement and configuration of panels to maximise energy capture. In addition, the prediction of photovoltaic energy production and electrical load demand optimises the energy balance between production and consumption within smart grids, including Renewable Energy Communities (RECs).