Cooled and uncooled photovoltaic panels modeling by using genetic expression programming

Year 2017, Volume: 1 Issue: 1, 13 - 22, 30.06.2017

Hikmet Esen , Abdullah Kapıcıoğlu , Onur Özsolak

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.

Keywords

Active cooling; photovoltaic; genetic expression programming; efficiency, GEP

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