THE USE OF GENETIC ALGORITHM IN DIMENSIONING HYBRID AUTONOMOUS SYSTEMS

THE USE OF GENETIC ALGORITHM IN DIMENSIONING HYBRID AUTONOMOUS SYSTEMS

In this paper is presented the working principle of genetic algorithms used to dimension autonomous hybrid systems. It is presented a study case in which is dimensioned and optimized an autonomous hybrid system for a residential house located in Cluj-Napoca. After the autonomous hybrid system...

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Main Authors: RUS T., MARE R.
Format: Article
Language:English
Published: University of Oradea 2016-03-01
Series:Journal of Sustainable Energy
Subjects:
genetic algorithms
wind turbines
photovoltaic panels
batteries
hydrogen
fuel cells
Online Access:http://www.energy-cie.ro/archives/2016/nr_1/v7-n1-4.pdf
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spelling doaj-baebabc3383a454eacaa153a532650832020-11-25T00:40:24ZengUniversity of OradeaJournal of Sustainable Energy2067-55342067-55342016-03-01712226THE USE OF GENETIC ALGORITHM IN DIMENSIONING HYBRID AUTONOMOUS SYSTEMSRUS T.0MARE R.1Technical University of Cluj-Napoca, Building Services FacultyTechnical University of Cluj-Napoca, Building Services FacultyIn this paper is presented the working principle of genetic algorithms used to dimension autonomous hybrid systems. It is presented a study case in which is dimensioned and optimized an autonomous hybrid system for a residential house located in Cluj-Napoca. After the autonomous hybrid system optimization is performed, it is achieved a reduction of the total cost of system investment, a reduction of energy produced in excess and a reduction of CO2 emissions. http://www.energy-cie.ro/archives/2016/nr_1/v7-n1-4.pdfgenetic algorithmswind turbinesphotovoltaic panelsbatterieshydrogenfuel cells
collection DOAJ
language English
format Article
sources DOAJ
author RUS T.
MARE R.
spellingShingle RUS T.
MARE R.
THE USE OF GENETIC ALGORITHM IN DIMENSIONING HYBRID AUTONOMOUS SYSTEMS
Journal of Sustainable Energy
genetic algorithms
wind turbines
photovoltaic panels
batteries
hydrogen
fuel cells
author_facet RUS T.
MARE R.
author_sort RUS T.
title THE USE OF GENETIC ALGORITHM IN DIMENSIONING HYBRID AUTONOMOUS SYSTEMS
title_short THE USE OF GENETIC ALGORITHM IN DIMENSIONING HYBRID AUTONOMOUS SYSTEMS
title_full THE USE OF GENETIC ALGORITHM IN DIMENSIONING HYBRID AUTONOMOUS SYSTEMS
title_fullStr THE USE OF GENETIC ALGORITHM IN DIMENSIONING HYBRID AUTONOMOUS SYSTEMS
title_full_unstemmed THE USE OF GENETIC ALGORITHM IN DIMENSIONING HYBRID AUTONOMOUS SYSTEMS
title_sort use of genetic algorithm in dimensioning hybrid autonomous systems
publisher University of Oradea
series Journal of Sustainable Energy
issn 2067-5534
2067-5534
publishDate 2016-03-01
description In this paper is presented the working principle of genetic algorithms used to dimension autonomous hybrid systems. It is presented a study case in which is dimensioned and optimized an autonomous hybrid system for a residential house located in Cluj-Napoca. After the autonomous hybrid system optimization is performed, it is achieved a reduction of the total cost of system investment, a reduction of energy produced in excess and a reduction of CO2 emissions.
topic genetic algorithms
wind turbines
photovoltaic panels
batteries
hydrogen
fuel cells
url http://www.energy-cie.ro/archives/2016/nr_1/v7-n1-4.pdf
work_keys_str_mv AT rust theuseofgeneticalgorithmindimensioninghybridautonomoussystems
AT marer theuseofgeneticalgorithmindimensioninghybridautonomoussystems
AT rust useofgeneticalgorithmindimensioninghybridautonomoussystems
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