A generic framework for distributed multi-generation and multi-storage energy systems

Khalilpour, KR; Vassallo, A

A generic framework for distributed multi-generation and multi-storage energy systems

Khalilpour, KR Vassallo, A

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Publisher:: PERGAMON-ELSEVIER SCIENCE LTD
Publication Type:: Journal Article
Citation:: Energy, 2016, 114, (C), pp. 798-813
Issue Date:: 2016-11-01

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Field	Value	Language
dc.contributor.author	Khalilpour, KR
dc.contributor.author	Vassallo, A
dc.date.accessioned	2022-08-14T04:01:24Z
dc.date.available	2022-08-14T04:01:24Z
dc.date.issued	2016-11-01
dc.identifier.citation	Energy, 2016, 114, (C), pp. 798-813
dc.identifier.issn	0360-5442
dc.identifier.issn	1873-6785
dc.identifier.uri	http://hdl.handle.net/10453/160120
dc.description.abstract	We have introduced a generic decision support tool for concurrent optimal selection, sizing, and operation scheduling of grid-connected or off-grid multi-generation/multi-storage distributed generation and storage (DGS) systems with respect to the dynamics of historical/projected periodical weather data, electricity price, DGS system cost, DGS aging, and the major critical design and operational parameters. This decision support program enables the consumer (ranging from a small house to large-scale industrial plants) to implement the most efficient electricity management strategy while achieving the goal of minimizing the electricity bill.
dc.language	English
dc.publisher	PERGAMON-ELSEVIER SCIENCE LTD
dc.relation.ispartof	Energy
dc.relation.isbasedon	10.1016/j.energy.2016.08.029
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	A generic framework for distributed multi-generation and multi-storage energy systems
dc.type	Journal Article
utslib.citation.volume	114
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 Professional Practice and Leadership
utslib.copyright.status	closed_access	*
dc.date.updated	2022-08-14T04:01:21Z
pubs.issue	C
pubs.publication-status	Published
pubs.volume	114
utslib.citation.issue	C

Abstract:

We have introduced a generic decision support tool for concurrent optimal selection, sizing, and operation scheduling of grid-connected or off-grid multi-generation/multi-storage distributed generation and storage (DGS) systems with respect to the dynamics of historical/projected periodical weather data, electricity price, DGS system cost, DGS aging, and the major critical design and operational parameters. This decision support program enables the consumer (ranging from a small house to large-scale industrial plants) to implement the most efficient electricity management strategy while achieving the goal of minimizing the electricity bill.

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http://hdl.handle.net/10453/160120