Cooled and uncooled photovoltaic panels modeling by using genetic expression programming

Abstract

The aim of this paper is to estimate the efficiency of photovoltaic (PV) panels with and without active cooling by using genetic expression programming (GEP). An active cooling system has been developed based on water spraying (non-uniformly) of PV panels, and we provide to increase the efficiency of PV panels. Panels is not cooled, the temperature of the panel is increased and the efficiency was calculated as 16.81%. When the panels are cooled, the panel temperature fell and the efficiency was calculated as 18.83%. GEP is preferred since it generates a mathematical function which fits to given experimental data. The test results indicate that for the model equations obtained, the determination coefficients (R2) are very high. These good agreements confirm the validity of the developed GEP models.