The use of Artificial Intelligence in evaluation of heat extracted from a PVT panel

In an ever-changing world and in a geopolitical environment troubled by the struggle for resources, the field of civil engineering and building services plays one of the primary roles, it is one of the main actors in achieving the concept of nZEB. To achieve this goal, green buildings require minimal energy consumption, and photovoltaic thermal panels (PVT) represent an important chapter of study, their improvement and the increase of electrical and thermal efficiency being one of the main concerns. Passive or active cooling systems, with air or water, have several advantages. From a technical and economical point of view it represents the optimal solution for dimensioning and production. Artificial Intelligence (AI), through algorithms of maximum efficiency and access to a huge database, supported by an increasing computing power of computer systems, can make a major contribution to their efficiency by generating, analysing and synthesizing data and information obtained with the help of the mathematical model or experimentally. Artificial Intelligence can also make a decisive contribution to the optimization of a photovoltaic thermal system, by determining the variant with the maximum efficiency from a constructive point of view.