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Effect of membrane performance including fouling on cost optimization in brackish water desalination process

W.L. Ang, D. Nordin, A.W. Mohammad, A. Benamor, N. Hilal, Nidal Hilal

Chemical Engineering Research and Design, Volume: 117, Pages: 401 - 413

Swansea University Author: Nidal Hilal

Abstract

Membrane selection is a crucial step that will affect the economic feasibility of the membrane water treatment process. A comprehensive evaluation consisting of Verberne Cost Model, assessment of membrane performance and fouling propensity, osmotic pressure differential (OPD) and specific energy con...

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Published in: Chemical Engineering Research and Design
ISSN: 0263-8762
Published: 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa30874
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first_indexed 2016-10-31T14:14:20Z
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spelling 2016-11-18T09:17:31.0546521 v2 30874 2016-10-31 Effect of membrane performance including fouling on cost optimization in brackish water desalination process 3acba771241d878c8e35ff464aec0342 Nidal Hilal Nidal Hilal true false 2016-10-31 FGSEN Membrane selection is a crucial step that will affect the economic feasibility of the membrane water treatment process. A comprehensive evaluation consisting of Verberne Cost Model, assessment of membrane performance and fouling propensity, osmotic pressure differential (OPD) and specific energy consumption (SEC) was employed to determine the potential of nanofiltration (NF 270, NF 90 and TS 80) and low pressure reverse osmosis (XLE) membranes to be used in brackish water desalination process. The aim was to save costs by replacing the typical brackish water reverse osmosis (BW 30) membrane. Verberne Cost Model showed that higher flux NF membranes resulted in lower overall costs. However, after assessing the membrane performance, NF 270 and TS 80 were excluded due to their high fouling propensity and their failure to reduce total dissolved solids (TDS) in the solution. Instead, NF 90 membrane which produced water with acceptable TDS and has moderate permeability ended up to be more cost competitive compared to BW 30 membrane, with 17%-21% lower total costs and 13%-17% lower water costs. Apart from this, OPD and SEC were applied to justify the selection of optimal membrane recovery rate based on the water costs calculated. It was determined that the optimal recovery rate was 80% where the SEC and water costs were close to available water treatment plants. Overall, this study showed that the selection of membrane can be carried out by using Verberne Cost Model assisted by assessment of membrane performance and fouling propensity, OPD and SEC. Journal Article Chemical Engineering Research and Design 117 401 413 0263-8762 1 3 2017 2017-03-01 10.1016/j.cherd.2016.10.041 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University 2016-11-18T09:17:31.0546521 2016-10-31T09:31:06.9015934 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised W.L. Ang 1 D. Nordin 2 A.W. Mohammad 3 A. Benamor 4 N. Hilal 5 Nidal Hilal 6 0030874-31102016093237.pdf ang2016.pdf 2016-10-31T09:32:37.8970000 Output 2535122 application/pdf Accepted Manuscript true 2017-10-29T00:00:00.0000000 false
title Effect of membrane performance including fouling on cost optimization in brackish water desalination process
spellingShingle Effect of membrane performance including fouling on cost optimization in brackish water desalination process
Nidal Hilal
title_short Effect of membrane performance including fouling on cost optimization in brackish water desalination process
title_full Effect of membrane performance including fouling on cost optimization in brackish water desalination process
title_fullStr Effect of membrane performance including fouling on cost optimization in brackish water desalination process
title_full_unstemmed Effect of membrane performance including fouling on cost optimization in brackish water desalination process
title_sort Effect of membrane performance including fouling on cost optimization in brackish water desalination process
author_id_str_mv 3acba771241d878c8e35ff464aec0342
author_id_fullname_str_mv 3acba771241d878c8e35ff464aec0342_***_Nidal Hilal
author Nidal Hilal
author2 W.L. Ang
D. Nordin
A.W. Mohammad
A. Benamor
N. Hilal
Nidal Hilal
format Journal article
container_title Chemical Engineering Research and Design
container_volume 117
container_start_page 401
publishDate 2017
institution Swansea University
issn 0263-8762
doi_str_mv 10.1016/j.cherd.2016.10.041
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
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description Membrane selection is a crucial step that will affect the economic feasibility of the membrane water treatment process. A comprehensive evaluation consisting of Verberne Cost Model, assessment of membrane performance and fouling propensity, osmotic pressure differential (OPD) and specific energy consumption (SEC) was employed to determine the potential of nanofiltration (NF 270, NF 90 and TS 80) and low pressure reverse osmosis (XLE) membranes to be used in brackish water desalination process. The aim was to save costs by replacing the typical brackish water reverse osmosis (BW 30) membrane. Verberne Cost Model showed that higher flux NF membranes resulted in lower overall costs. However, after assessing the membrane performance, NF 270 and TS 80 were excluded due to their high fouling propensity and their failure to reduce total dissolved solids (TDS) in the solution. Instead, NF 90 membrane which produced water with acceptable TDS and has moderate permeability ended up to be more cost competitive compared to BW 30 membrane, with 17%-21% lower total costs and 13%-17% lower water costs. Apart from this, OPD and SEC were applied to justify the selection of optimal membrane recovery rate based on the water costs calculated. It was determined that the optimal recovery rate was 80% where the SEC and water costs were close to available water treatment plants. Overall, this study showed that the selection of membrane can be carried out by using Verberne Cost Model assisted by assessment of membrane performance and fouling propensity, OPD and SEC.
published_date 2017-03-01T03:37:38Z
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