Intelligent Energy Management System for an all-electric ship based on adaptive neuro-fuzzy inference system

The International Marine Organization (IMO) regulations forcing shipbuilders to use electric ships to reducing pollution emitted from ship engines. Renewable energy resources are the perfect solution to solve this issue. The ship’s hybrid energy power system consists of several non-homogeneous energ...

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Autores principales:	Mohab Gaber, S.H. El-Banna, Mahmoud El-Dabah, M.S. Hamad
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Ship electric power system All-electric ship Energy management system Integrated power system Micro-grid Artificial intelligence Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/d4edc07587374b3b86d034d7f200bb5b
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spelling	oai:doaj.org-article:d4edc07587374b3b86d034d7f200bb5b2021-11-28T04:33:47ZIntelligent Energy Management System for an all-electric ship based on adaptive neuro-fuzzy inference system2352-484710.1016/j.egyr.2021.06.054https://doaj.org/article/d4edc07587374b3b86d034d7f200bb5b2021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352484721004170https://doaj.org/toc/2352-4847The International Marine Organization (IMO) regulations forcing shipbuilders to use electric ships to reducing pollution emitted from ship engines. Renewable energy resources are the perfect solution to solve this issue. The ship’s hybrid energy power system consists of several non-homogeneous energy resources diesel generator, renewable energy source or more, energy-storing system, and may hydrogen source as fuel cells. The EMS manages and controls the balance between the different types of sources and loads demand to ensure system stability and dependability. In this paper, energy management strategy (EMS) for fuel cell and battery hybrid systems is an essential property of controlling power flow between sources. A crucial ingredient of an intelligent control strategy is to manage the flow of a hybrid system corresponding to the changing of the load demand and battery state of charge (SoC) using the ANFIS/Simulink toolbox implements a case study architecture. This paper proposes a hybrid energy source for use in a naval ship’s silent mode of operation while looking for submarines with a low acoustic signature based on adaptive neuro-fuzzy procedures. The main objective of this analysis is to investigate the efficiency of the proposed system preserving compared with practical results obtained from previous work. These studies provide valuable understandings into hybrid power systems’ flow of EMS on the marine field.Mohab GaberS.H. El-BannaMahmoud El-DabahM.S. HamadElsevierarticleShip electric power systemAll-electric shipEnergy management systemIntegrated power systemMicro-gridArtificial intelligenceElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 7, Iss , Pp 7989-7998 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Ship electric power system All-electric ship Energy management system Integrated power system Micro-grid Artificial intelligence Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Ship electric power system All-electric ship Energy management system Integrated power system Micro-grid Artificial intelligence Electrical engineering. Electronics. Nuclear engineering TK1-9971 Mohab Gaber S.H. El-Banna Mahmoud El-Dabah M.S. Hamad Intelligent Energy Management System for an all-electric ship based on adaptive neuro-fuzzy inference system
description	The International Marine Organization (IMO) regulations forcing shipbuilders to use electric ships to reducing pollution emitted from ship engines. Renewable energy resources are the perfect solution to solve this issue. The ship’s hybrid energy power system consists of several non-homogeneous energy resources diesel generator, renewable energy source or more, energy-storing system, and may hydrogen source as fuel cells. The EMS manages and controls the balance between the different types of sources and loads demand to ensure system stability and dependability. In this paper, energy management strategy (EMS) for fuel cell and battery hybrid systems is an essential property of controlling power flow between sources. A crucial ingredient of an intelligent control strategy is to manage the flow of a hybrid system corresponding to the changing of the load demand and battery state of charge (SoC) using the ANFIS/Simulink toolbox implements a case study architecture. This paper proposes a hybrid energy source for use in a naval ship’s silent mode of operation while looking for submarines with a low acoustic signature based on adaptive neuro-fuzzy procedures. The main objective of this analysis is to investigate the efficiency of the proposed system preserving compared with practical results obtained from previous work. These studies provide valuable understandings into hybrid power systems’ flow of EMS on the marine field.
format	article
author	Mohab Gaber S.H. El-Banna Mahmoud El-Dabah M.S. Hamad
author_facet	Mohab Gaber S.H. El-Banna Mahmoud El-Dabah M.S. Hamad
author_sort	Mohab Gaber
title	Intelligent Energy Management System for an all-electric ship based on adaptive neuro-fuzzy inference system
title_short	Intelligent Energy Management System for an all-electric ship based on adaptive neuro-fuzzy inference system
title_full	Intelligent Energy Management System for an all-electric ship based on adaptive neuro-fuzzy inference system
title_fullStr	Intelligent Energy Management System for an all-electric ship based on adaptive neuro-fuzzy inference system
title_full_unstemmed	Intelligent Energy Management System for an all-electric ship based on adaptive neuro-fuzzy inference system
title_sort	intelligent energy management system for an all-electric ship based on adaptive neuro-fuzzy inference system
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/d4edc07587374b3b86d034d7f200bb5b
work_keys_str_mv	AT mohabgaber intelligentenergymanagementsystemforanallelectricshipbasedonadaptiveneurofuzzyinferencesystem AT shelbanna intelligentenergymanagementsystemforanallelectricshipbasedonadaptiveneurofuzzyinferencesystem AT mahmoudeldabah intelligentenergymanagementsystemforanallelectricshipbasedonadaptiveneurofuzzyinferencesystem AT mshamad intelligentenergymanagementsystemforanallelectricshipbasedonadaptiveneurofuzzyinferencesystem
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Intelligent Energy Management System for an all-electric ship based on adaptive neuro-fuzzy inference system

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