Decision support for control structure selection during plant design

Oldenburg, Jan; Pallasch, Hans-Jürgen; Carroll, Colman P.; Hagenmeyer, Veit; Arora, Sachin; Jacobsen, K; Birk, J.; Polt, A.; Abeel, Peter van den

doi:10.1016/s1570-7946(08)80168-x

Cited by 5 publications

(5 citation statements)

References 6 publications

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“…Figure 9 shows how such projects can increase the competitiveness of a plant over its lifecycle [27]. Of course, an even better way is to use advanced process control from the very first startup of a new plant [47]. However, the design processes for chemical plants are not yet perfectly adapted to project advanced process control solution in parallel to creating the plant.…”

Section: Resultsmentioning

confidence: 99%

A discussion of the actual status of process control in theory and practice: a personal view from German process industry

Piechottka

Hagenmeyer

2014

At – Automatisierungstechnik

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The contribution aims at stimulating a dialogue between academia and industry: from an application point of view, the authors observe in the field of process control an ongoing drift between theory and practice. As engineers, the authors are concerned that this drift weakens the position of process control as a whole. Hence, a thorough analysis and a following discussion are at need. In order to contribute to the aforementioned dialogue, first the state of the art of process control in the Western European chemical industry is reported by displaying the results of a Western-European-wide survey. Thereafter, a discussion of the actual context of industrial applications of process control is led. Finally, the contribution is concluded in view of opening the field for the dialogue in need by some remarks fostering the future of process control as a whole.

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Section: Resultsmentioning

confidence: 99%

A discussion of the actual status of process control in theory and practice: a personal view from German process industry

Piechottka

Hagenmeyer

2014

At – Automatisierungstechnik

Self Cite

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“…Dynamic validation Major advantages of this approach are that the method is fairly intuitive and focuses on optimal economic plant operation, while trying to keep the control structure as simple as possible (preferably single-input single output controllers with constant setpoints). Controlled variable sets selection (step 3) is strictly systematic (see Section 2.1) and its basic principles have been tested successfully in industrial applications 18 . Screening criteria (see Section 2.2) for the search of promising controlled variables are also available.…”

Section: Methodsmentioning

confidence: 99%

“…Controlled variable sets selection (step 3) is strictly systematic (see section 2.1), and its basic principles have been tested successfully in industrial applications. 18 Screening criteria (see section 2.2) for the search of promising controlled variables are also available. Moreover, despite the fact that the search process represents a combinatorial problem, it can be solved with low computational effort (see section 2.3).…”

Section: Methodsmentioning

confidence: 99%

Adaptation of Control Structure Design Methods to an Industrial Plant Engineering Workflow

Hoeser¹,

Arora²,

Koitka³

et al. 2017

Ind. Eng. Chem. Res.

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Methods of systematic control structure design are adapted to suit industrial workflow of plant design and engineering in the chemical and process industry. The applied methods include a systematic step-wise design methodology and the concept of self-optimizing control. Implementation of these methods is performed in a commercial software framework that consists of Aspen Plus R and MATLAB R. The control structure design methodology of a sequence of heat-integrated distillation columns is presented as a case study.

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“…Investigating the impact of uncertainties on simulation results helps to unveil their variability, to identify parameters whose uncertainties have a large impact or to discern significant parameters for model adjustment or optimization. Furthermore, it can be used to investigate different control concepts for process fluctuations or to detect sensitive location for sensor placement . Finally, it helps to quantify the risks associated to uncertainties.…”

Section: From Single Simulation To a Multitude Of Solutions To Suppormentioning

confidence: 99%

Process Modeling, Simulation and Optimization: From Single Solutions to a Multitude of Solutions to Support Decision Making

Asprion

Bortz

2018

Chemie Ingenieur Technik

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Besides experimentation process simulation is a key technology in process development. Process simulation supports design, analysis and operation of chemical processes and plants. A systematic use of process simulation and optimization in the process development workflow is beneficial for both the process model and experiments and enables to be more efficient and effective in process design. In the following it will be discussed how the application of process simulation and optimization has to be broadened to provide decision support for process development.

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Decision support for control structure selection during plant design

Cited by 5 publications

References 6 publications

A discussion of the actual status of process control in theory and practice: a personal view from German process industry

A discussion of the actual status of process control in theory and practice: a personal view from German process industry

Adaptation of Control Structure Design Methods to an Industrial Plant Engineering Workflow

Process Modeling, Simulation and Optimization: From Single Solutions to a Multitude of Solutions to Support Decision Making

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