Modeling and optimization of a sequence of chemical cleaning cycles in dead-end ultrafiltration

Zondervan, Edwin; Betlem, Bernardus H.L.; Blankert, Bastiaan; Roffel, Brian

doi:10.1016/j.memsci.2007.09.066

Cited by 25 publications

(16 citation statements)

References 22 publications

(24 reference statements)

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“…The cost calculation is quite extensive, and perhaps out of the scope of this paper. However, in a paper recently published [5], we discuss in detail how operational costs can be calculated and optimized. Using these models, we have evaluated how operational costs change when the maximum allowed fouling level (resistance) is changed.…”

Section: Lifetime Optimizationmentioning

confidence: 99%

“…In refs. [4,5] a detailed description can be found on how the operational costs as function of the average membrane irreversible fouling state were calculated using a fouling model and cost function, based on energy consumption, material costs (feed water, waste water, coagulant, cleaning chemicals, etc.) and depreciation costs, over multiple chemical cleaning cycles.…”

Section: Lifetime Optimizationmentioning

confidence: 99%

“…Intermediate term optimization, where membrane performance is optimized over multiple production cycles was also reported [4,5]. Long term optimization of UF membranes, where membrane ageing/lifetime is incorporated, is another area of research interest.…”

Section: Introductionmentioning

confidence: 97%

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Modeling and optimization of membrane lifetime in dead-end ultra filtration

Zondervan

Roffel

2008

Journal of Membrane Science

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a b s t r a c tIn this paper, a membrane lifetime model is developed and experimentally validated. The lifetime model is based on the Weibull probability density function. The lifetime model can be used to determine an unambiguous characteristic membrane lifetime. Experimental results showed that membrane lifetime shortens if the average membrane fouling status increases. The lifetime modeling results are then used to determine the economic lifetime of membranes. Subsequently, the economic lifetime of a membrane is used to optimize membrane lifetime, i.e. minimizing the total costs. Based on the experimental results it can be concluded that the total costs are minimal if the average membrane fouling status is approximately 1.7× the membrane resistance.

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Section: Lifetime Optimizationmentioning

confidence: 99%

Section: Lifetime Optimizationmentioning

confidence: 99%

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Modeling and optimization of membrane lifetime in dead-end ultra filtration

Zondervan

Roffel

2008

Journal of Membrane Science

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“…Some chemicals are preferred over others depending upon the type of fouling to be removed. The most commonly used are sodium hypochlorite (NaOCl), citric acid (C 6 H 8 O 7 ), phosphoric acid (H 3 PO 4 ) and hydrogen peroxide (H 2 O 2 ) [12]. Among these chemicals, NaOCl is the agent most used and is applied primarily when organic fouling occurs.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Ultrafiltration Cleaning Protocols in Drinking Water Treatment Processes

Vera¹,

Martín-Alonso²,

Mesa³

et al. 2017

J Chem Eng Process Technol

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Membrane-based processes efforts are focused on mitigating membrane fouling by optimizing operating conditions, especially when low quality surface waters are treated. The study conducted here was driven to evaluate the current measures applied to mitigate fouling in Ultrafiltration (UF) stages when integrated as a pre-treatment of the Reverse Osmosis (RO) in a Drinking Water Treatment Plant (DWTP). First, the effect of coagulants in fouling and water quality was evaluated by using synthetic and surface waters in bench-scale. Both aluminum and ironbased coagulants rejected the organic compounds when dosed above 1 mg·L -1 . Also, micro-coagulation with FeCl 3 previous to the UF impacted positively the membrane performance. Then, two modes of operation were proposed and tested in bench-scale to improve the cleaning strategies when filtering waters from different sources. The results highlighted the feasibility to apply a different cleaning protocol when groundwater was filtered as it would improve the water yield and production by elongating the filtration times. To conclude, an exploratory analysis reviewed the membrane performance and cleaning strategies in the Ultrafiltration stage at full-scale during 1 year of operation. The results showed high variations in Specific flux (Js) throughout the year and, also, suggested that chemical cleaning procedures were being applied in excess.

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“…The first attempt to describe the fouling behavior in a unified model was presented by Hermia [3] who developed four types of fouling behavior. Few works have then been devoted to model-based optimal control of membrane-assisted processes [4,5] and membrane fouling and cleaning [6,7]. However, optimal control requires knowledge of process model parameters.…”

Section: Introductionmentioning

confidence: 99%

Combined Estimation and Optimal Control of Batch Membrane Processes

et al. 2016

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Abstract:In this paper, we deal with the model-based time-optimal operation of a batch diafiltration process in the presence of membrane fouling. Membrane fouling poses one of the major problems in the field of membrane processes. We model the fouling behavior and estimate its parameters using various methods. Least-squares, least-squares with a moving horizon, recursive least-squares methods and the extended Kalman filter are applied and discussed for the estimation of the fouling behavior on-line during the process run. Model-based optimal non-linear control coupled with parameter estimation is applied in a simulation case study to show the benefits of the proposed approach.

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Modeling and optimization of a sequence of chemical cleaning cycles in dead-end ultrafiltration

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Cited by 25 publications

References 22 publications

Modeling and optimization of membrane lifetime in dead-end ultra filtration

Modeling and optimization of membrane lifetime in dead-end ultra filtration

Assessment of Ultrafiltration Cleaning Protocols in Drinking Water Treatment Processes

Combined Estimation and Optimal Control of Batch Membrane Processes

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