Open AccessOptimization of tilt angle of a solar collector in Medan city using genetic algorithm
Author(s) -
Corryn Corinthia,
Himsar Ambarita
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1235/1/012098
Subject(s) - renewable energy , solar energy , sunlight , photovoltaics , environmental science , solar power , installation , solar irradiance , tilt (camera) , solar cell , photovoltaic system , power (physics) , engineering , optics , meteorology , electrical engineering , physics , mechanical engineering , quantum mechanics
Solar energy is one of the renewable energy resources that is not limited in its use and it does not cause pollution. One form of solar energy utilization that is often found is to produce electricity with the using of photovoltaics or solar panels. The main problem with solar energy is the instability of power which generated by the solar panels because it depends on the sunlight intensity which accepted by the solar panels. The intensity of sunlight received by the solar panels can be maximized by installing solar panels with a right angle so it will be obtained the maximum output power. In this study, the optimization of the slope angle of solar panels will be analysed using the Genetic Algorithm method. The results obtained are the optimal optimum slope of the panel from January, February, March, April, May, June, July, August, September, October, November and December are 53.839 55, 55.121°, 53.938°, 53.442°, 54.398°, 53.441°, 53.009°, 52.933°, 54.709°, 57.055°, 57.169°, 54, 632°.