A Generic Framework for Systematic Design of Process Monitoring and Control System for Crystallization Processes

Publication: ResearchConference abstract for conference – Annual report year: 2012

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A Generic Framework for Systematic Design of Process Monitoring and Control System for Crystallization Processes. / Abdul Samad, Noor Asma Fazli Bin; Meisler, Kresten Troelstrup; Sin, Gürkan; Gernaey, Krist; Gani, Rafiqul.

2012. Abstract from 22nd European Symposium on Computer Aided Process Engineering, London, United Kingdom.

Publication: ResearchConference abstract for conference – Annual report year: 2012

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Abdul Samad, NAFB, Meisler, KT, Sin, G, Gernaey, K & Gani, R 2012, 'A Generic Framework for Systematic Design of Process Monitoring and Control System for Crystallization Processes' 22nd European Symposium on Computer Aided Process Engineering, London, United Kingdom, 17/06/12 - 22/06/12,

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Abdul Samad, Noor Asma Fazli Bin; Meisler, Kresten Troelstrup; Sin, Gürkan; Gernaey, Krist; Gani, Rafiqul / A Generic Framework for Systematic Design of Process Monitoring and Control System for Crystallization Processes.

2012. Abstract from 22nd European Symposium on Computer Aided Process Engineering, London, United Kingdom.

Publication: ResearchConference abstract for conference – Annual report year: 2012

Bibtex

@misc{20599db971f345c3b91ea586c06527fc,
title = "A Generic Framework for Systematic Design of Process Monitoring and Control System for Crystallization Processes",
keywords = "Process monitoring and control, Analytical estimator, Crystal distribution, Crystal shape",
author = "{Abdul Samad}, {Noor Asma Fazli Bin} and Meisler, {Kresten Troelstrup} and Gürkan Sin and Krist Gernaey and Rafiqul Gani",
note = "Oral presentation. Reference: [1] Samad, N.AF.A., Singh, R., Sin, G., Gernaey, K.V. & Gani, R. (2011). Computers and Chemical Engineering, 35, 828-843. [2] Singh, R., Gernaey, K.V. & Gani, R. (2009). Computers and Chemical Engineering, 33, 22-42.",
year = "2012",
type = "ConferencePaper <importModel: ConferenceImportModel>",

}

RIS

TY - ABST

T1 - A Generic Framework for Systematic Design of Process Monitoring and Control System for Crystallization Processes

A1 - Abdul Samad,Noor Asma Fazli Bin

A1 - Meisler,Kresten Troelstrup

A1 - Sin,Gürkan

A1 - Gernaey,Krist

A1 - Gani,Rafiqul

AU - Abdul Samad,Noor Asma Fazli Bin

AU - Meisler,Kresten Troelstrup

AU - Sin,Gürkan

AU - Gernaey,Krist

AU - Gani,Rafiqul

PY - 2012

Y1 - 2012

N2 - Crystallization processes have a wide range of application as a solid-liquid separation technique in the chemical, the pharmaceutical and the food industries, due to the fact that high quality crystalline products can be produced. The main specifications of the crystal product are usually given in terms of crystal size, size distribution, shape and purity. However, the main difficulty in crystallization processes is to obtain a uniform and reproducible crystal size distribution (CSD). To this end, supersaturation control is often applied to drive the process within the metastable zone in order to enhance the control of the CSD. Although this approach has been shown to produce high quality crystals, the set point operating policies for the controller are usually chosen arbitrarily or by trial-and-error. Therefore a systematic procedure to generate operational policies that guarantee that a targeted CSD can be achieved, can be very useful. For such a procedure to be generic i.e. applicable to many case studies of different chemical systems, it needs to be model-based, preferably linked to a modelling framework with a model generation option to allow a wide application range. Furthermore, for control and monitoring purposes, an appropriate Process Analytical Technology (PAT) system ensuring that the critical process variables are measured and maintained within the design limits also needs to be integrated. <br/>The objectives of this work are to develop a generic systematic design framework for monitoring and control systems applicable to a wide range of crystallization processes and operational scenarios. This framework contains a generic multi-dimensional modelling framework and features for design of operational scenarios and for design of PAT systems. The generality of this approach allows the users to generate a wide range of problem-system specific models through the generic multi-dimensional modelling framework [1]. In order to obtain the desired crystal products, an analytical CSD estimator and a response surface method are employed to generate the operational policy needed to match the desired target CSD. The generated operational policies provide the supersaturation set point and by maintaining the operation at this point, the targeted CSD is achieved. The resulting problem-system specific models and the operational policies become ready for use in model-based design and control/analysis of crystallization operations within a model-based process monitoring and control system (PAT system) [2]. The application of the systematic design framework will be highlighted through a potassium dihydrogen phosphate (KDP) crystallization process case study where the objective is to obtain a desired two-dimensional CSD and crystal shape. Also, integrated visualization tools are used together with the generated data for process control and for product (crystal) property monitoring, illustrating, thereby, the power and unique features of this systematic model-based design procedure.

AB - Crystallization processes have a wide range of application as a solid-liquid separation technique in the chemical, the pharmaceutical and the food industries, due to the fact that high quality crystalline products can be produced. The main specifications of the crystal product are usually given in terms of crystal size, size distribution, shape and purity. However, the main difficulty in crystallization processes is to obtain a uniform and reproducible crystal size distribution (CSD). To this end, supersaturation control is often applied to drive the process within the metastable zone in order to enhance the control of the CSD. Although this approach has been shown to produce high quality crystals, the set point operating policies for the controller are usually chosen arbitrarily or by trial-and-error. Therefore a systematic procedure to generate operational policies that guarantee that a targeted CSD can be achieved, can be very useful. For such a procedure to be generic i.e. applicable to many case studies of different chemical systems, it needs to be model-based, preferably linked to a modelling framework with a model generation option to allow a wide application range. Furthermore, for control and monitoring purposes, an appropriate Process Analytical Technology (PAT) system ensuring that the critical process variables are measured and maintained within the design limits also needs to be integrated. <br/>The objectives of this work are to develop a generic systematic design framework for monitoring and control systems applicable to a wide range of crystallization processes and operational scenarios. This framework contains a generic multi-dimensional modelling framework and features for design of operational scenarios and for design of PAT systems. The generality of this approach allows the users to generate a wide range of problem-system specific models through the generic multi-dimensional modelling framework [1]. In order to obtain the desired crystal products, an analytical CSD estimator and a response surface method are employed to generate the operational policy needed to match the desired target CSD. The generated operational policies provide the supersaturation set point and by maintaining the operation at this point, the targeted CSD is achieved. The resulting problem-system specific models and the operational policies become ready for use in model-based design and control/analysis of crystallization operations within a model-based process monitoring and control system (PAT system) [2]. The application of the systematic design framework will be highlighted through a potassium dihydrogen phosphate (KDP) crystallization process case study where the objective is to obtain a desired two-dimensional CSD and crystal shape. Also, integrated visualization tools are used together with the generated data for process control and for product (crystal) property monitoring, illustrating, thereby, the power and unique features of this systematic model-based design procedure.

KW - Process monitoring and control

KW - Analytical estimator

KW - Crystal distribution

KW - Crystal shape

ER -