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A generic reverse osmosis model for full-scale operation

Dorien Gaublomme (UGent) , Laurence Strubbe (UGent) , Marjolein Vanoppen (UGent) , Elena Torfs (UGent) , Séverine Mortier (UGent) , Emile Cornelissen (UGent) , Bart De Gusseme (UGent) , Arne Verliefde (UGent) and Ingmar Nopens (UGent)
(2020) DESALINATION. 490.
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Abstract
Mathematical models can be a powerful tool in the operation of reverse osmosis (RO) facilities which is often challenged by a varying feed water quality. Most models, however, do not consider both full-scale and good modelling practice, which makes them less suited in practice. In this paper, a generic steady state model for RO was set-up and applied to a unique three-year data set from a full-scale RO process according to state-of-the-art good modelling practice. It was found that the model outputs are most sensitive towards the water and the solute permeability, and the feed spacer channel height, and therefore, only these parameters were calibrated. Furthermore, manufacturer's tests do not always reflect the full-scale situation, which highlights the importance of calibration. The model was validated with online conductivity data as input taking into account the uncertainty originating from online sensors, and compared to the commercial software Winflows. Despite the lack of long-term predictive power since fouling was not included, the model with online conductivity data as input showed satisfactory results, i.e. an average deviation from the data of 2.7%, 12.7%, 34.1% and 18.7% for respectively the recovery, the concentrate pressure, the permeate and concentrate solute concentration.
Keywords
Mechanical Engineering, General Materials Science, General Chemistry, General Chemical Engineering, Water Science and Technology, BIOMATH, Reverse osmosis, Full-scale, Global sensitivity analysis, Calibration, Validation, OF-THE-ART, MEMBRANE, PERFORMANCE, MODULES

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MLA
Gaublomme, Dorien, et al. “A Generic Reverse Osmosis Model for Full-Scale Operation.” DESALINATION, vol. 490, 2020, doi:10.1016/j.desal.2020.114509.
APA
Gaublomme, D., Strubbe, L., Vanoppen, M., Torfs, E., Mortier, S., Cornelissen, E., … Nopens, I. (2020). A generic reverse osmosis model for full-scale operation. DESALINATION, 490. https://doi.org/10.1016/j.desal.2020.114509
Chicago author-date
Gaublomme, Dorien, Laurence Strubbe, Marjolein Vanoppen, Elena Torfs, Séverine Mortier, Emile Cornelissen, Bart De Gusseme, Arne Verliefde, and Ingmar Nopens. 2020. “A Generic Reverse Osmosis Model for Full-Scale Operation.” DESALINATION 490. https://doi.org/10.1016/j.desal.2020.114509.
Chicago author-date (all authors)
Gaublomme, Dorien, Laurence Strubbe, Marjolein Vanoppen, Elena Torfs, Séverine Mortier, Emile Cornelissen, Bart De Gusseme, Arne Verliefde, and Ingmar Nopens. 2020. “A Generic Reverse Osmosis Model for Full-Scale Operation.” DESALINATION 490. doi:10.1016/j.desal.2020.114509.
Vancouver
1.
Gaublomme D, Strubbe L, Vanoppen M, Torfs E, Mortier S, Cornelissen E, et al. A generic reverse osmosis model for full-scale operation. DESALINATION. 2020;490.
IEEE
[1]
D. Gaublomme et al., “A generic reverse osmosis model for full-scale operation,” DESALINATION, vol. 490, 2020.
@article{8669728,
  abstract     = {{Mathematical models can be a powerful tool in the operation of reverse osmosis (RO) facilities which is often challenged by a varying feed water quality. Most models, however, do not consider both full-scale and good modelling practice, which makes them less suited in practice. In this paper, a generic steady state model for RO was set-up and applied to a unique three-year data set from a full-scale RO process according to state-of-the-art good modelling practice. It was found that the model outputs are most sensitive towards the water and the solute permeability, and the feed spacer channel height, and therefore, only these parameters were calibrated. Furthermore, manufacturer's tests do not always reflect the full-scale situation, which highlights the importance of calibration. The model was validated with online conductivity data as input taking into account the uncertainty originating from online sensors, and compared to the commercial software Winflows. Despite the lack of long-term predictive power since fouling was not included, the model with online conductivity data as input showed satisfactory results, i.e. an average deviation from the data of 2.7%, 12.7%, 34.1% and 18.7% for respectively the recovery, the concentrate pressure, the permeate and concentrate solute concentration.}},
  articleno    = {{114509}},
  author       = {{Gaublomme, Dorien and Strubbe, Laurence and Vanoppen, Marjolein and Torfs, Elena and Mortier, Séverine and Cornelissen, Emile and De Gusseme, Bart and Verliefde, Arne and Nopens, Ingmar}},
  issn         = {{0011-9164}},
  journal      = {{DESALINATION}},
  keywords     = {{Mechanical Engineering,General Materials Science,General Chemistry,General Chemical Engineering,Water Science and Technology,BIOMATH,Reverse osmosis,Full-scale,Global sensitivity analysis,Calibration,Validation,OF-THE-ART,MEMBRANE,PERFORMANCE,MODULES}},
  language     = {{eng}},
  pages        = {{21}},
  title        = {{A generic reverse osmosis model for full-scale operation}},
  url          = {{http://dx.doi.org/10.1016/j.desal.2020.114509}},
  volume       = {{490}},
  year         = {{2020}},
}

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