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Thermodynamic optimization of Multistage Pressure Retarded Osmosis (MPRO) with variable feed pressures for hypersaline solutions

Nidal Hilal, Sarper Sarp Orcid Logo

Desalination, Volume: 477, Start page: 114245

Swansea University Authors: Nidal Hilal, Sarper Sarp Orcid Logo

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Abstract

Salinity gradient processes, such as Forward Osmosis and Pressure Retarded Osmosis, have been proven to be promising technologies for reducing the energy consumption in water treatment processes, for energy production, and for energy recovery. In such processes higher power densities can be achieved...

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Published in: Desalination
ISSN: 0011-9164
Published: Elsevier BV 2020
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URI: https://cronfa.swan.ac.uk/Record/cronfa52858
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spelling 2020-11-06T17:45:00.2052847 v2 52858 2019-11-25 Thermodynamic optimization of Multistage Pressure Retarded Osmosis (MPRO) with variable feed pressures for hypersaline solutions 3acba771241d878c8e35ff464aec0342 Nidal Hilal Nidal Hilal true false ca341f0a3e516f888e12d2710d06e043 0000-0003-3866-1026 Sarper Sarp Sarper Sarp true false 2019-11-25 FGSEN Salinity gradient processes, such as Forward Osmosis and Pressure Retarded Osmosis, have been proven to be promising technologies for reducing the energy consumption in water treatment processes, for energy production, and for energy recovery. In such processes higher power densities can be achieved by applying higher hydraulic pressures on the draw solution, this requires greater mechanical stability of the membrane to be able to withstand these higher hydraulic pressures. Therefore, there is a limitation to the salinity of the draw solution which can be used in the PRO processes. This being dependent on the concentration of the hypersaline solution and hence overall hydraulic pressure, necessitating the use of an ultra-thick support layer for maximum energy production and/or recovery. In this theoretical and simulative optimization of the PRO process, we achieved the optimum energy recovery from a hypersaline solution (TDS ~ 300,000 mg/L) by using a multistage PRO (MPRO) system which included implementing variable applied feed pressures to each stage. The results showed that the volumetric flow rate of the hypersaline draw solution increased by up to a factor of 10 during the MPRO process in single pass, and the concentration of the hypersaline draw solution diluted up to 10x accordingly. Journal Article Desalination 477 114245 Elsevier BV 0011-9164 1 3 2020 2020-03-01 10.1016/j.desal.2019.114245 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University 2020-11-06T17:45:00.2052847 2019-11-25T04:37:23.1360688 Professional Services ISS - Uncategorised Nidal Hilal 1 Sarper Sarp 0000-0003-3866-1026 2 52858__15944__c84c5c5c8f1e432b9c58ec01baac2a69.pdf Accepted.pdf 2019-11-25T04:39:11.5633585 Output 2297828 application/pdf Accepted Manuscript true 2020-12-27T00:00:00.0000000 Distributed under the terms of a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC-BY-NC-ND) License. true eng http://creativecommons.org/licenses/by-nc-nd/4.0/
title Thermodynamic optimization of Multistage Pressure Retarded Osmosis (MPRO) with variable feed pressures for hypersaline solutions
spellingShingle Thermodynamic optimization of Multistage Pressure Retarded Osmosis (MPRO) with variable feed pressures for hypersaline solutions
Nidal Hilal
Sarper Sarp
title_short Thermodynamic optimization of Multistage Pressure Retarded Osmosis (MPRO) with variable feed pressures for hypersaline solutions
title_full Thermodynamic optimization of Multistage Pressure Retarded Osmosis (MPRO) with variable feed pressures for hypersaline solutions
title_fullStr Thermodynamic optimization of Multistage Pressure Retarded Osmosis (MPRO) with variable feed pressures for hypersaline solutions
title_full_unstemmed Thermodynamic optimization of Multistage Pressure Retarded Osmosis (MPRO) with variable feed pressures for hypersaline solutions
title_sort Thermodynamic optimization of Multistage Pressure Retarded Osmosis (MPRO) with variable feed pressures for hypersaline solutions
author_id_str_mv 3acba771241d878c8e35ff464aec0342
ca341f0a3e516f888e12d2710d06e043
author_id_fullname_str_mv 3acba771241d878c8e35ff464aec0342_***_Nidal Hilal
ca341f0a3e516f888e12d2710d06e043_***_Sarper Sarp
author Nidal Hilal
Sarper Sarp
author2 Nidal Hilal
Sarper Sarp
format Journal article
container_title Desalination
container_volume 477
container_start_page 114245
publishDate 2020
institution Swansea University
issn 0011-9164
doi_str_mv 10.1016/j.desal.2019.114245
publisher Elsevier BV
college_str Professional Services
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hierarchy_top_title Professional Services
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hierarchy_parent_title Professional Services
department_str ISS - Uncategorised{{{_:::_}}}Professional Services{{{_:::_}}}ISS - Uncategorised
document_store_str 1
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description Salinity gradient processes, such as Forward Osmosis and Pressure Retarded Osmosis, have been proven to be promising technologies for reducing the energy consumption in water treatment processes, for energy production, and for energy recovery. In such processes higher power densities can be achieved by applying higher hydraulic pressures on the draw solution, this requires greater mechanical stability of the membrane to be able to withstand these higher hydraulic pressures. Therefore, there is a limitation to the salinity of the draw solution which can be used in the PRO processes. This being dependent on the concentration of the hypersaline solution and hence overall hydraulic pressure, necessitating the use of an ultra-thick support layer for maximum energy production and/or recovery. In this theoretical and simulative optimization of the PRO process, we achieved the optimum energy recovery from a hypersaline solution (TDS ~ 300,000 mg/L) by using a multistage PRO (MPRO) system which included implementing variable applied feed pressures to each stage. The results showed that the volumetric flow rate of the hypersaline draw solution increased by up to a factor of 10 during the MPRO process in single pass, and the concentration of the hypersaline draw solution diluted up to 10x accordingly.
published_date 2020-03-01T04:05:28Z
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score 11.037275