Work

Neural Network Modeling and Experimental Evaluation of Organic Solar Panel Performance in Algerian Sahara

Year: 2019

Type: article

Abstract: In this paper, the characterization and modeling results of the electrical parameters of the tendem organic photovoltaic cells (infinityPV) are presented.The electrical performances of this organic cell's module (I-V and P-V) are characterized and analyzed in the weather condition of southwest Algeria (Adrar site).A program in MATLAB language is developed locally for modeling the organic cell, using artificial intelligence.The multilayer feed forward perception type ANN is used for extraction of the organic photovoltaic model performances, and the back-propagation algorithm is used for the program training.The ANN obtained results by the simulation showed a good conformity with the results obtained experimentally in the saharan climate (MAPE:0.68%,MBE:4.5018e-09A and RMSE:1.8062e-04A).

Source: European Journal of Electrical Engineering

DOI: 10.18280/ejee.210206

Authors: Touhami Ghaitaoui, Ali Benatiallah, Hamid Khachab, Youcef Sahli, Khaled Koussa

Institutions: Renewable Energy Development Center, Ahmed Draia University, University of Bechar

Language: English

Topic: Photovoltaic System Optimization Techniques

Subfield: Renewable Energy, Sustainability and the Environment

Field: Energy

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: bronze

OpenAlex ID: W2957230786

FWCI: 0.056

Cites: 19

Cited by: 2

Related to: 10