Optimizing the Tilt Angle and Direction of Solar Panels in Aceh with Genetic Algorithm Method

Yassir, - and Hasannuddin, Teuku and Fauzan, - (2017) Optimizing the Tilt Angle and Direction of Solar Panels in Aceh with Genetic Algorithm Method. International Conference of Applied Science on Engineering, Business, Linguistics and Information Technology . pp. 39-44. ISSN 2598-2532



Performance of photovoltaic (PV) that are installed fixed has strongly influenced the direction and tilt angle of the PV. Changes in the declination angle of the sun within a year Affect the total solar irradiance received by the PV. To Overcome obstacles in the fixed solar cell panel, it is Necessary to optimize the angle of inclination and the direction of the PV placement so that the electrical energy generated will be more optimally. Method Genetic Algorithm (GA) is used to optimize the direction and angle of the PV. The genetic algorithm initializes the PV tilt angle with the specified limits, then calculates to Obtain the total energy value in the inclined plane of PV by crossover, mutation and selection. The algorithm is limited to 50 generations. The results show that the optimization of the tilt angle can Increase the ability of solar panels to receive solar energy Compared to the placement of solar panels with the angle of the tilt without optimization. The angle and direction of the optimum panel with the genetic algorithm in the Aceh area are 4° - 6° with the orient direction to the south. Installation at an angle after the optimization of the energy received Increased solar panels to 9% Compared with tilt 20° direction to north without optimization. And an Increase of 8.9% Compared with tilt 30° direction to the south without optimization. As well as an Increase of 65.5% Compared with the installation of a 90° direction to the south.

Item Type:Article
Subjects:G Technology > GI Electrical engineering. Electronics Nuclear engineering
G Technology > GM Information Technology
Divisions:Luar PNP > Journal, Proceeding
ID Code:739
Deposited By:Rahmat Hidayat
Deposited On:23 Nov 2017 11:19
Last Modified:23 Dec 2018 08:48

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