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Accueil du site → Doctorat → Egypte → Optimal Design and Control of Renewable Energy Sources for Aquaculture System in Remote Area using Genetic Algorithm

Cairo University (2012)

Optimal Design and Control of Renewable Energy Sources for Aquaculture System in Remote Area using Genetic Algorithm

Doaa Mohamed Atia Hassanin

Titre : Optimal Design and Control of Renewable Energy Sources for Aquaculture System in Remote Area using Genetic Algorithm

Auteur : Doaa Mohamed Atia Hassanin

Etablissement de soutenance : Cairo University

Grade : Doctor of Philosophy (PhD) 2012

Résumé
The aim of this thesis is to design an integrated aquaculture system operated by renewable energy sources only. The aquaculture system consists of three different subsystems ; electrical subsystem, thermal subsystem, and aeration subsystem. Each subsystem is designed and controlled using artificial intelligent techniques. Water temperature and dissolved oxygen percentage are the most important water quality parameters want to be controlled. Neural network control and fuzzy logic control for the three subsystems were carried out. NNC proved its applicability than FLC. Also study the reliability and cost analysis of the system

Mots Clés : Renewable energy sources, Photovoltaic system, fuel cells, Solar water heating system, Hybrid energy system, Aquaculture, Genetic algorithm, Intelligent control technique

Présentation

Page publiée le 31 mars 2020