EVALUATION OF HYBRID SOLAR PHOTOVOLTAIC-GAS TURBINE SYSTEM USING ARTIFICIAL NEURAL NETWORK

Solar energy one of the most available power source in Malaysia. The economic impact was the main target of this investigation with the fulfilment of the technical requirements of the Universiti Teknologi PETRONAS (UTP) Microgrid (MG). Since hybrid Solar Photovoltaic (SPV) and Gas Turbine Generator...

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Main Author:	MOHAMED SHAABAN KHAMIS, MOHAMED ATEF
Format:	Thesis
Language:	English
Published:	2020
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://utpedia.utp.edu.my/20513/1/Mohamed%20Atef%20Mohamed%20Shaaban_15002244.pdf http://utpedia.utp.edu.my/20513/
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Institution:	Universiti Teknologi Petronas
Language:	English

id	my-utp-utpedia.20513
record_format	eprints
spelling	my-utp-utpedia.205132021-08-30T16:29:56Z http://utpedia.utp.edu.my/20513/ EVALUATION OF HYBRID SOLAR PHOTOVOLTAIC-GAS TURBINE SYSTEM USING ARTIFICIAL NEURAL NETWORK MOHAMED SHAABAN KHAMIS, MOHAMED ATEF TK Electrical engineering. Electronics Nuclear engineering Solar energy one of the most available power source in Malaysia. The economic impact was the main target of this investigation with the fulfilment of the technical requirements of the Universiti Teknologi PETRONAS (UTP) Microgrid (MG). Since hybrid Solar Photovoltaic (SPV) and Gas Turbine Generator (GTG) (H-PVGTGs) will be considered in this research, the former models’ accuracy (in hybrid SPV optimization techniques) is very important. The least error for the existing mathematical models for SPV is 5.5% and this figure hypothetically can be further improved by using Artificial Intelligent (AI) method. There is always potential Annualized Total Life Cycle Cost (ATLCC) to be improved for the feasibility options. 2020-06 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/20513/1/Mohamed%20Atef%20Mohamed%20Shaaban_15002244.pdf MOHAMED SHAABAN KHAMIS, MOHAMED ATEF (2020) EVALUATION OF HYBRID SOLAR PHOTOVOLTAIC-GAS TURBINE SYSTEM USING ARTIFICIAL NEURAL NETWORK. Masters thesis, Universiti Teknologi PETRONAS.
institution	Universiti Teknologi Petronas
building	UTP Resource Centre
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Petronas
content_source	UTP Electronic and Digitized Intellectual Asset
url_provider	http://utpedia.utp.edu.my/
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering MOHAMED SHAABAN KHAMIS, MOHAMED ATEF EVALUATION OF HYBRID SOLAR PHOTOVOLTAIC-GAS TURBINE SYSTEM USING ARTIFICIAL NEURAL NETWORK
description	Solar energy one of the most available power source in Malaysia. The economic impact was the main target of this investigation with the fulfilment of the technical requirements of the Universiti Teknologi PETRONAS (UTP) Microgrid (MG). Since hybrid Solar Photovoltaic (SPV) and Gas Turbine Generator (GTG) (H-PVGTGs) will be considered in this research, the former models’ accuracy (in hybrid SPV optimization techniques) is very important. The least error for the existing mathematical models for SPV is 5.5% and this figure hypothetically can be further improved by using Artificial Intelligent (AI) method. There is always potential Annualized Total Life Cycle Cost (ATLCC) to be improved for the feasibility options.
format	Thesis
author	MOHAMED SHAABAN KHAMIS, MOHAMED ATEF
author_facet	MOHAMED SHAABAN KHAMIS, MOHAMED ATEF
author_sort	MOHAMED SHAABAN KHAMIS, MOHAMED ATEF
title	EVALUATION OF HYBRID SOLAR PHOTOVOLTAIC-GAS TURBINE SYSTEM USING ARTIFICIAL NEURAL NETWORK
title_short	EVALUATION OF HYBRID SOLAR PHOTOVOLTAIC-GAS TURBINE SYSTEM USING ARTIFICIAL NEURAL NETWORK
title_full	EVALUATION OF HYBRID SOLAR PHOTOVOLTAIC-GAS TURBINE SYSTEM USING ARTIFICIAL NEURAL NETWORK
title_fullStr	EVALUATION OF HYBRID SOLAR PHOTOVOLTAIC-GAS TURBINE SYSTEM USING ARTIFICIAL NEURAL NETWORK
title_full_unstemmed	EVALUATION OF HYBRID SOLAR PHOTOVOLTAIC-GAS TURBINE SYSTEM USING ARTIFICIAL NEURAL NETWORK
title_sort	evaluation of hybrid solar photovoltaic-gas turbine system using artificial neural network
publishDate	2020
url	http://utpedia.utp.edu.my/20513/1/Mohamed%20Atef%20Mohamed%20Shaaban_15002244.pdf http://utpedia.utp.edu.my/20513/
_version_	1739832762720845824

EVALUATION OF HYBRID SOLAR PHOTOVOLTAIC-GAS TURBINE SYSTEM USING ARTIFICIAL NEURAL NETWORK

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