Optimal sizing of a standalone photovoltaic system for remote housing electrification using numerical algorithm and improved system models

Ibrahim, IA; Khatib, T; Mohamed, A

Optimal sizing of a standalone photovoltaic system for remote housing electrification using numerical algorithm and improved system models

Ibrahim, IA Khatib, T Mohamed, A

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Publisher:: PERGAMON-ELSEVIER SCIENCE LTD
Publication Type:: Journal Article
Citation:: Energy, 2017, 126, pp. 392-403
Issue Date:: 2017-01-01

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Field	Value	Language
dc.contributor.author	Ibrahim, IA
dc.contributor.author	Khatib, T
dc.contributor.author	Mohamed, A
dc.date.accessioned	2022-10-28T06:29:47Z
dc.date.available	2022-10-28T06:29:47Z
dc.date.issued	2017-01-01
dc.identifier.citation	Energy, 2017, 126, pp. 392-403
dc.identifier.issn	0360-5442
dc.identifier.issn	1873-6785
dc.identifier.uri	http://hdl.handle.net/10453/162824
dc.description.abstract	This paper presents a size optimization method of the energy sources in a standalone photovoltaic system. The proposed technique implies improved photovoltaic array model, dynamic battery model, and accurate objective function as well as a fast simulation algorithm. The loss of load probability (LLP) is used to define the availability of the system. Different system's configurations with different availability levels are generated using the proposed algorithm. These configurations are evaluated based on system availability and cost. Hourly meteorological and load demand data are utilized in this research. A design example is done to show the application of the proposed method considering the weather profile of Malaysia. The result shows that the optimal sizing ratio of the photovoltaic array (CA) is 1.184, while the sizing ratio for storage battery (CB) is 0.613. In addition, the levelized cost of energy (LCE) for the unit generated of energy by the proposed system is 0.447 $/kWh.
dc.language	English
dc.publisher	PERGAMON-ELSEVIER SCIENCE LTD
dc.relation.ispartof	Energy
dc.relation.isbasedon	10.1016/j.energy.2017.03.053
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0913 Mechanical Engineering, 0914 Resources Engineering and Extractive Metallurgy, 0915 Interdisciplinary Engineering
dc.subject.classification	Energy
dc.title	Optimal sizing of a standalone photovoltaic system for remote housing electrification using numerical algorithm and improved system models
dc.type	Journal Article
utslib.citation.volume	126
utslib.for	0913 Mechanical Engineering
utslib.for	0914 Resources Engineering and Extractive Metallurgy
utslib.for	0915 Interdisciplinary Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2022-10-28T06:29:46Z
pubs.publication-status	Published
pubs.volume	126

Abstract:

This paper presents a size optimization method of the energy sources in a standalone photovoltaic system. The proposed technique implies improved photovoltaic array model, dynamic battery model, and accurate objective function as well as a fast simulation algorithm. The loss of load probability (LLP) is used to define the availability of the system. Different system's configurations with different availability levels are generated using the proposed algorithm. These configurations are evaluated based on system availability and cost. Hourly meteorological and load demand data are utilized in this research. A design example is done to show the application of the proposed method considering the weather profile of Malaysia. The result shows that the optimal sizing ratio of the photovoltaic array (CA) is 1.184, while the sizing ratio for storage battery (CB) is 0.613. In addition, the levelized cost of energy (LCE) for the unit generated of energy by the proposed system is 0.447 $/kWh.

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http://hdl.handle.net/10453/162824