23rd European Symposium on Computer Aided Process Engineering

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23rd European Symposium on Computer Aided Process Engineering
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Publisher : Elsevier
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ISBN : 9780444632418
Pages : 1088 pages
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Computer-aided process engineering (CAPE) plays a key design and operations role in the process industries, from the molecular scale through managing complex manufacturing sites. The research interests cover a wide range of interdisciplinary problems related to the current needs of society and industry. ESCAPE 23 brings together researchers and practitioners of computer-aided process engineering interested in modeling, simulation and optimization, synthesis and design, automation and control, and education. The proceedings present and evaluate emerging as well as established research methods and concepts, as well as industrial case studies. Contributions from the international community using computer-based methods in process engineering Reviews the latest developments in process systems engineering Emphasis on industrial and societal challenges

23rd European Symposium on Computer Aided Process Engineering

Computer-aided process engineering (CAPE) plays a key design and operations role in the process industries, from the molecular scale through managing complex manufacturing sites. The research interests cover a wide range of interdisciplinary problems related to the current needs of society and industry. ESCAPE 23 brings together researchers and practitioners of

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23 European Symposium on Computer Aided Process Engineering

This work focuses on the development of a computer-aided modeling framework. The framework is a knowledge-based system that is built on a generic modeling language and structured on workflows for different modeling tasks. The overall objective of this work is to support model developers and users to generate and test

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23 European Symposium on Computer Aided Process Engineering

Isolating faulty variables is a crucial step during the determination of the root causes of a process fault. Contribution plots, with their corresponding control limits, are the most popular tools used for isolating faulty variables. However, the isolation results may be misled by the smearing effect. In addition, the control

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23 European Symposium on Computer Aided Process Engineering

Virtual commissioning of chemical plants often involves a dynamic simulator and an optimization method. This paper demonstrates the integration of APROS, a dynamic process simulator and IND-NIMBUS, an interactive multiobjective optimization software. We implement a multiobjective concentration control problem in APROS involving conflicting objectives and employ a decision maker to

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23 European Symposium on Computer Aided Process Engineering

A bioreactor, integrated with an anoxic reactor and a settler for waste water treatment from a paper production plant is under investigation to implement a control system for enhancing effluent quality. In order to reveal the operation of the integrated process to achieve a specific goal, a methodology for control

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23 European Symposium on Computer Aided Process Engineering

In the current work a mathematical and a simulation study on a three – stage metal hydride hydrogen compressor (MHHC) is presented. Multistage MHHC uses a combination of different materials acting as metal hydrides in order to increase the final compression ratio, while maximizing the absorption capacity of every single stage

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23 European Symposium on Computer Aided Process Engineering

In this work, to understand the separation behavior of the flash column chromatography during purification of artemisinin from the crude extract of Artemisia annua, multivariate data analysis technique PARAFAC (Parallel factorization) is used to mine the relevant chemical information from analytical chromatograms of 9 artemisinin containing fractions. The size of three

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23 European Symposium on Computer Aided Process Engineering

In this work we present a mathematical optimization based methodology for simultaneous formulae and process design in the consumer product business applied to the case of laundry detergents. The design of a new detergent is formulated as a modified pooling problem including process, performance, processability and environmental constraints. This features

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23 European Symposium on Computer Aided Process Engineering

The direct compaction continuous pharmaceutical tablet manufacturing process considered in this study is highly interactive and has time delays for several process variables due to sensor placements, that indicate that a simple feedback regulatory control system (e.g. PI(D)) by itself may not be sufficient to achieve the tight

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23 European Symposium on Computer Aided Process Engineering

In this paper, we introduce robust optimization and stochastic programming strategies for addressing demand uncertainty in steelmaking continuous casting operations. Robust optimization framework was first employed to develop a deterministic robust counterpart optimization model and to guarantee that the production schedule be feasible for the varying demands. Then, a two-stage

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23 European Symposium on Computer Aided Process Engineering

Multiscale process modeling is very appealing methodology for process optimization since it highlights certain issues that remain unexplored with conventional methodologies and debottlenecks certain potentialities that remain unexploited in chemical plants. In this work, a kinetic model with 2400 reactions and 140 species is implemented in a proper reactor network to characterize

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23 European Symposium on Computer Aided Process Engineering

Mathematical modelling and optimization of the natural gas based Distributed Energy Supply System (DESS), both at the building level and the overall energy supply network level was carried out for three types of micro-CHP – solid oxide fuel cells, Stirling engines, internal combustion engines – and for two operating strategies – cost-driven and

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23 European Symposium on Computer Aided Process Engineering

An extended systematic methodology for the design of emulsion-based chemical products is presented. The methodology consists of a model-based framework involving seven sequential hierarchical steps: starting with the identification of the needs to be satisfied by the product and then adding one-by-one the different classes of chemicals, until a formulation

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23 European Symposium on Computer Aided Process Engineering

This paper introduces a mathematical programming approach to systematically find optimal designs of experiments for linear algebraic models. The method assumes that we have a fully specified parametric model with unknown parameters and the design criterion is convex. To address the problem we use a semi-definite programming formulation, originally developed

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23 European Symposium on Computer Aided Process Engineering

In this work a multi-objective hybrid optimization strategy was developed considering genetic algorithms (GA) in series with sequential quadratic programming (SQP). This methodology is used to minimize carbon monoxide emissions of regenerator dense phase at the same time that maximize process conversion in Fluid Catalytic Cracking (FCC). The process is

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