Modelling and optimization of modular system for power generation from a salinity gradient

Altaee, A; Cippolina, A

Modelling and optimization of modular system for power generation from a salinity gradient

Altaee, A

Cippolina, A

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Publication Type:: Journal Article
Citation:: Renewable Energy, 2019, 141 pp. 139 - 147
Issue Date:: 2019-10-01

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Field	Value	Language
dc.contributor.author	Altaee, A https://orcid.org/0000-0001-9764-3974	en_US
dc.contributor.author	Cippolina, A	en_US
dc.date.issued	2019-10-01	en_US
dc.identifier.citation	Renewable Energy, 2019, 141 pp. 139 - 147	en_US
dc.identifier.issn	0960-1481	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133386
dc.description.abstract	© 2019 Elsevier Ltd Pressure retarded osmosis has been proposed for power generation from a salinity gradient resource. The process has been promoted as a promising technology for power generation from renewable resources, but most of the experimental work has been done on a laboratory size units. To date, pressure retarded osmosis optimization and operation is based on parametric studies performed on laboratory scale units, which leaves a gap in our understanding of the process behaviour in a full-scale modular system. A computer model has been developed to predict the process performance. Process modelling was performed on a full-scale membrane module and impact of key operating parameters such as hydraulic feed pressure and feed and draw solution rates were evaluated. Results showed that the optimum fraction of feed/draw solution in a mixture is less than what has been earlier proposed ratio of 50% and it is entirely dependent on the salinity gradient resource concentration. Furthermore, the optimized pressure retarded osmosis process requires a hydraulic pressure less than that in the normal (unoptimized) process. The results here demonstrate that the energy output from the optimized pressure regarded osmosis process is up to 54% higher than that in the normal (unoptimized) process.	en_US
dc.relation.ispartof	Renewable Energy	en_US
dc.relation.isbasedon	10.1016/j.renene.2019.03.138	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject.classification	Energy	en_US
dc.title	Modelling and optimization of modular system for power generation from a salinity gradient	en_US
dc.type	Journal Article
utslib.citation.volume	141	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	0913 Mechanical Engineering	en_US
utslib.for	0915 Interdisciplinary Engineering	en_US
pubs.embargo.period	Not known	en_US
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 Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CTWW - Centre for Technology in Water and Wastewater Treatment
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2021-10-01T00:00:00+1000
pubs.publication-status	Published	en_US
pubs.volume	141	en_US

Abstract:

© 2019 Elsevier Ltd Pressure retarded osmosis has been proposed for power generation from a salinity gradient resource. The process has been promoted as a promising technology for power generation from renewable resources, but most of the experimental work has been done on a laboratory size units. To date, pressure retarded osmosis optimization and operation is based on parametric studies performed on laboratory scale units, which leaves a gap in our understanding of the process behaviour in a full-scale modular system. A computer model has been developed to predict the process performance. Process modelling was performed on a full-scale membrane module and impact of key operating parameters such as hydraulic feed pressure and feed and draw solution rates were evaluated. Results showed that the optimum fraction of feed/draw solution in a mixture is less than what has been earlier proposed ratio of 50% and it is entirely dependent on the salinity gradient resource concentration. Furthermore, the optimized pressure retarded osmosis process requires a hydraulic pressure less than that in the normal (unoptimized) process. The results here demonstrate that the energy output from the optimized pressure regarded osmosis process is up to 54% higher than that in the normal (unoptimized) process.

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http://hdl.handle.net/10453/133386