Journal article

Real-time emulation of a pressure-retarded osmotic power generation system


Research Areas

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Publication Details

Author list: Kaarthik RS, Maisonneuve J, Pillay P

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

Publication year: 2017

Journal: IEEE Transactions on Industry Applications

Journal name: IEEE Transactions on Industry Applications

Volume number: 53

Issue number: 6

Start page: 5768

End page: 5776

Total number of pages: 9

ISSN: 0093-9994

URL: https://api.elsevier.com/content/abstract/scopus_id/85040565674


Abstract

Power production by conversion of salt gradient en-ergy (osmotic power production) has the potential for global com-mercialization. Research on the net-power output and osmoticpower plant configurations could result in viable methods for im-provement of plant efficiency. In this paper, a novel equivalentelectric-circuit model of the pressure-retarded osmosis (PRO) pro-cess is described and is used to develop a power-hardware-in-the-loop (PHIL) emulator to represent the osmotic power plant. Themodel considers many dynamics involved with PRO including re-verse salt leakage, concentration polarization, and the salt storagecapacity of water. The proposed model facilitates real-time dy-namic simulation and analysis of the PRO power plant, and itsinteraction with the rest of the PRO power system, namely the im-pulse turbine and the synchronous generator supplying power tooff-grid or isolated loads. The response of the multidomain systemincluding hydraulic, mechanical, and electrical components of thesystem is observed, given changes in the input parameters such assource flow rate. The proposed PHIL emulator provides insightinto the operational dynamics and behavior of the PRO system.The proposed real-time emulator serves as a powerful tool thatcan advance research and development of PRO power generationsystems. Simulation and experimental results are presented in thispaper to validate the PRO plant model and the operation of theproposed real-time PHIL PRO emulator.


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Keywords

modeling, Renewable energy, Water resources


Last updated on 2018-22-03 at 08:32