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23 European Symposium On Computer Aided Process Engineering

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23rd European Symposium on Computer Aided Process Engineering

23rd European Symposium on Computer Aided Process Engineering Book
Author : Anonim
Publisher : Elsevier
Release : 2013-06-10
ISBN : 0444632417
Language : En, Es, Fr & De

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Book Description :

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

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering Book
Author : Afshin Sadrieh,Parisa A. Bahri
Publisher : Elsevier Inc. Chapters
Release : 2013-06-10
ISBN : 0128086084
Language : En, Es, Fr & De

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Book Description :

This study seeks to pave the way of designing and implementing a Domain-Specific Language (DSL) for controllability analysis of a chemical process design. Chemical processes are nonlinear continuous/discrete dynamic systems that are subject to considerable uncertainties and variations during their design and operation. These systems are designed to operate at an economically optimal steady-state. However, changing the value of the process parameters may cause deviations and elicit dynamic responses from processes. Generally, the ability of holding a process within a specified operating regime is called controllability. In this study a Petri net based DSL is designed specifically for controllability evaluation of process designs with an application to a flowsheet case study.

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering Book
Author : N. Meneghetti,E. Tomba,P. Facco,F. Lince,D.L. Marchisio,A.A. Barresi,F. Bezzo,M. Barolo
Publisher : Elsevier Inc. Chapters
Release : 2013-06-10
ISBN : 0128085843
Language : En, Es, Fr & De

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Book Description :

Product transfer is a problem commonly encountered in industry when a production has to be transferred from a source plant to a target plant. In this paper a strategy to assist product transfer is proposed. The strategy is based on latent variable models (LVMs) to relate the data available from one or more source plants with the (usually scarce) data available from the target plant, and on LVM inversion to estimate the target plant operating conditions. The inversion is performed within an optimization framework, which can handle constraints for both product quality variables and input variables. An experimental nanoparticle production process is used as a test bed to illustrate the benefits of the proposed strategy.

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering Book
Author : Emanuele Martelli,Edoardo Amaldi
Publisher : Elsevier Inc. Chapters
Release : 2013-06-10
ISBN : 0128085487
Language : En, Es, Fr & De

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Book Description :

Process engineering applications often lead to non-smooth constrained optimization problems in which the objective function and/or the constraints have non-differentiabilities and step discontinuities. Since the objective function is often the outcome of a complex simulation or the outcome of a lower level optimization problem, it may also be noisy and not defined in some point. In this work we propose and test a new hybrid direct search method for constrained non-smooth discontinuous problems which combines the positive features of Particle Swarm, Generating Set Search, and Complex, that we refer to as PGS-COM. Computational results show that PGS-COM outperforms the main available methods and exhibits considerable robustness to non-smoothness, unrelaxable constraints, evaluation failures and numerical noise.

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering Book
Author : Mariano Martín,Alberto Martínez
Publisher : Elsevier Inc. Chapters
Release : 2013-06-10
ISBN : 0128086181
Language : En, Es, Fr & De

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Book Description :

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 add a number of nonlinearities related to the modeling of the different aspects of the process and customer acceptance. Furthermore, the problem becomes a multiobjective optimization problem, when environmental constraints are considered, that is solved using the e-constraint method with global optimization techniques to minimize of the environmental impact while minimizing the production cost for a couple of case studies. Finally, ingredients price uncertainty is also addressed using a scenario reduction technique.

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering Book
Author : Edward Close,Daniel G Bracewell,Eva Sorensen
Publisher : Elsevier Inc. Chapters
Release : 2013-06-10
ISBN : 0128085185
Language : En, Es, Fr & De

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Book Description :

We demonstrate an approach to construct an adaptive design space in the face of process variability, for an industrial hydrophobic interaction chromatography (HIC) with resin lot-to-lot variability. The step has a complex mixture of impurities in the feed stream and a multi component product. The step must deliver a specific distribution of product forms in the elution peak whilst maintaining product recovery and impurity removal. In our approach, a mechanistic model is used which gives a good representation of the system, and has been validated experimentally. The model is used to quickly and efficiently explore the impact of process parameters on process performance, utilizing stochastic simulation to generate probabilistic design spaces for different resin lots. The results indicate that significant increases in process robustness can be made by adapting the design space based on the resin lot in use, rather than fixing the design space for all resin lots. An adaptive design space enables operation further away from high risk regions, increases the size of operating regions and improves flexibility to variations in process inputs.

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering Book
Author : Miguel Zamarripa,Kefah Hjaila,Javier Silvente,Antonio Espuña
Publisher : Elsevier Inc. Chapters
Release : 2013-06-10
ISBN : 0128085908
Language : En, Es, Fr & De

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Book Description :

The scope of any Supply Chain management strategy usually takes into account the few single echelons directly linked to the process of interest (raw materials acquisition, market distribution,...) which are assumed to present a previously known behaviour (even this behaviour may include some uncertainty). Decisions based on this limited picture disregard the important information associated to the interaction among different cooperative SCs. This work aims to optimize the overall performance of several SC's in a cooperative scenario acting as an “entire SC”. Accordingly, the main features of this entire SC (raw materials SC, production-distribution SC, products and wastes) have been considered. The approach is demonstrated using a case study which integrates an energy poligeneration SC model (RM acquisition, and different production systems in a competitive situation) and the traditional production-distribution SC model (RM acquisition, distribution to production plants, production, and distribution to markets) in a mixed integer non-linear programming model.

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering Book
Author : Kazuhiro Takeda,Hideo Saito,Yukiyasu Shiamad,Teiji Kitajima,Tetsuo Fuchino,Yuji Naka
Publisher : Elsevier Inc. Chapters
Release : 2013-06-10
ISBN : 0128086009
Language : En, Es, Fr & De

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Book Description :

Uncontrolled changes caused many accidents or disasters. Management of change (MOC) has been a very important issue in process safety management. In this paper, it is considered that MOC is divided to two parts: one is individual change management and the other is management of them. Individual change management is an instance of engineering over the plant lifecycle (Plant-LCE), however a business flow of MOC has been hardly discussed. A business flow of MOC is expected to be based on a business process model (BPM) of Plant-LCE. The logical process safety management based on a BPM of Plant-LCE has been proposed. However the BPM is dispersed and too detailed for precisely. Therefore, an overview for the BPM of Plant-LCE has been proposed. Using an individual change management example, this paper shows that a business flow of the MOC can be described in the overview of the BPM of Plant-LCE.

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering Book
Author : Katrin Sulzbacher,Peter Balling,Gerhard Schembecker
Publisher : Elsevier Inc. Chapters
Release : 2013-06-10
ISBN : 0128086432
Language : En, Es, Fr & De

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Book Description :

Process performance and efficiency depend predominantly on decisions made in early phases of process development. At this stage, however, the center of interest is often just the minimization of the time to market. Process alternatives, systematic experimental surveys, simulation studies, and process optimization are often cut down, which leads to processes more expensive and pollutive than their optimum. Therefore, this contribution presents a new bioprocess simulation and optimization tool. It was designed to assist bioprocess development from the first process idea to the final process. With its key features - an adaptive model library and innovative optimization strategy, it enables a holistic view and evaluation of all process alternatives over all phases of process development.

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering Book
Author : Davide Manca
Publisher : Elsevier Inc. Chapters
Release : 2013-06-10
ISBN : 0128086122
Language : En, Es, Fr & De

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Book Description :

The Electric Energy (EE) price plays a significant role in the economic assessment of chemical and more in general of industrial processes. As far as both short-term and long-term economic predictions are required (such as in planning, scheduling, supply chain, on-line optimization, and conceptual design) the estimation of future prices of EE calls for a mathematical model capable of forecasting the price values according to the intrinsic features of the electric market. The paper presents and discusses a methodology to deploy a quantitative econometric model that describes the deterministic dynamic attributes of EE price.

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering Book
Author : Salman Nazir,Simone Colombo,Davide Manca
Publisher : Elsevier Inc. Chapters
Release : 2013-06-10
ISBN : 0128086106
Language : En, Es, Fr & De

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Book Description :

Process industry is known for its complexity and sensitivity with critical procedures saturated with demanding human-machine interfaces that may induce human errors thus resulting in abnormal situations. Abnormal situations may lead to near misses and even to severe accidents, which can result in loss of production and even in casualties and fatalities. This paper aims at abridging the gap between the highly demanding human machine interfaces and the training methods employed in the process industry by experimentally analyzing the effectiveness of distinct training methods in a virtually simulated abnormal situation. The performance of operators is measured by means of suitable Key Performance Indicators (KPIs) applied to the specific case study. In particular, we analyze experimentally two distinct training methods based respectively on a Power Point presentation and a 3D virtual environment. The positive outcomes of this approach consist in increasing the reliability, cost effectiveness, environmental friendliness, and safety of the process. This work is the result of the interaction between chemical engineers and experimental psychologists, which may open new horizons to scientific research.

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering Book
Author : Germán Campetelli,Mercedes Lombarte,Marta S. Basualdo,Alfredo Rigalli
Publisher : Elsevier Inc. Chapters
Release : 2013-06-10
ISBN : 0128085231
Language : En, Es, Fr & De

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Book Description :

As a common laboratory practice rats are studied as biological models for understanding several human’s diseases. This work is focused on studying the endocrine behavior to obtain a proper in silico healthy and diabetic rat which would be able to compare well with the experimental data. After this, the expectations are to get valuable insight to quantify the analogies with humans and to determine a realistic scale-up between both, humans and rats. With this purpose the scale-up procedure proposed in Hall et al. [2012] is taken into account. In this context, the well-known model of healthy subject given by Sorensen [1985] was proper to implement the scale-up methodology. Therefore, the main contribution of this work is to present the preliminary procedure of the scale-up focused on the specific problem of diabetes Mellitus. An intensive search in the literature had to be done to perform the simulations. Hence, several results are included and confronted with experimental data. These results will be useful to the pre-clinical testing of control algorithms with rats to be extrapolated to human beings.

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering Book
Author : Pablo Garcia-Herreros,Ignacio E. Grossmann,John Wassick
Publisher : Elsevier Inc. Chapters
Release : 2013-06-10
ISBN : 0128085959
Language : En, Es, Fr & De

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Book Description :

The design of efficient supply chains is a major challenge for companies in the process industry. Supply chain performance is subject to different sources of uncertainty including reliability of the facilities. Facility disruptions are among the most critical events that supply chains can experience. In order to reduce the undesirable effects of disruptions, these events must be anticipated at the design phase of the supply chain. This work addresses the design of supply chains under the risk of facility disruptions by simultaneously considering decisions on the facility location and the inventory management. The proposed formulation is based on a two-stage stochastic programming framework where the scenarios are determined by the possible combinations of facility disruptions. The first stage decisions include the location of distribution centers and their storage capacity. The second stage decisions involve assigning customer demands to the distribution centers that are available in every scenario. The objective is to minimize the sum of investment cost and the expected cost of distribution during a finite time horizon. The formulation is implemented and compared with the optimal solution of the deterministic design problem though an illustrative example. The results show that the proposed formulation generates supply chain designs with the capability to adjust to adverse scenarios. This flexibility translates into significant savings when disruptions occur in the operation of supply chains.

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering Book
Author : Grégoire Léonard,Bruno Cabeza Mogador,Ségolène Belletante,Georges Heyen
Publisher : Elsevier Inc. Chapters
Release : 2013-06-10
ISBN : 0128085746
Language : En, Es, Fr & De

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Book Description :

A dynamic model of a post-combustion capture pilot plant is developed using Aspen Plus Dynamics. An innovative process control strategy is studied for regulating the water balance of the process. A washing section where the flue gas from the absorber is washed with cold water is included to the process in order to reduce the emissions of amine to the air. Control of the water balance in the solvent loop is successfully achieved by changing the washing water temperature. In previous publications regarding CO2 capture pilot plants, the regulation of the water balance always required a water make-up flow which appears here as unnecessary. Rejection of disturbances and different load reduction scenarios are tested to confirm the efficiency of this strategy. Potential operational problems of this control strategy are identified and solved.

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering Book
Author : Siyu Yang,Xiaoping Jia,Chen Yun,Yu Qian
Publisher : Elsevier Inc. Chapters
Release : 2013-06-10
ISBN : 0128086475
Language : En, Es, Fr & De

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Book Description :

A framework is proposed for sustainability study of coal based chemical and energy processes. Comprehensive analysis from efficiency, energy, economic, and environment perspectives. Process modelling, synthesis, and life cycle analysis, are conducted. Based on these multi-layer analyses, optimization is applied to explore for new process innovation and existing process modification. The analysis is illustrated with two case studies. The first case is the coal based methanol production process, which environmental impacts were investigated in a life cycle assessment. The second case is the co-production of electricity and methanol, in which key parameters are designed by mutual optimisation of energy efficiency and economic cost.

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering Book
Author : Ergys Pahija,Flavio Manenti,Iqbal M. Mujtaba
Publisher : Elsevier Inc. Chapters
Release : 2013-06-10
ISBN : 0128086335
Language : En, Es, Fr & De

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Book Description :

This work investigates in detail several methodologies to improve the optimal control of discontinuous processes. It shows that whenever a batch dynamic optimization is solved, the optimum is related to the control methodology adopted and the result is a sub-optimum since other more (or apparently less!) appealing control methodologies might lead to “better” optimal solutions. The selection of the best control methodology for the dynamic optimization is broached for batch reactors using gPROMS models builder 3.5.2 for dynamic modeling and BzzMath 6.0 optimizers to handle control and optimization issues.

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering Book
Author : Lukas Eberle,Hirokazu Sugiyama,Rainer Schmidt
Publisher : Elsevier Inc. Chapters
Release : 2013-06-10
ISBN : 0128086130
Language : En, Es, Fr & De

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Book Description :

Reliable product supply is one of the most critical missions of the pharmaceutical industry. The lead time, i.e. the duration between start and end of an activity, needs to be managed in any production facility in order to make scheduling predictable' agile and flexible. We present a method for measuring and improving production lead time of pharmaceutical processes with a primary focus on Parenterals (i.e. injectables) production processes. Monte Carlo simulation (MCS) is applied for quantifying the total lead time (TLT) of a batch production as a probability distribution and sensitivity analysis reveals the ranking of sub-processes by impact on TLT. Based on these results, what-if analyses are performed to evaluate effects of investments, resource allocations and process improvements on TLT. An industrial case study was performed at a production site for Parenterals of F. Hoffmann-La Roche in Kaiseraugst, Switzerland, where the presented method supported analysis and decision-making of production enhancements.

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering Book
Author : Pedro Chainho,Ana Carvalho,Henrique A Matos
Publisher : Elsevier Inc. Chapters
Release : 2013-06-10
ISBN : 012808636X
Language : En, Es, Fr & De

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Book Description :

Due to the increase competition in the global markets, companies are increasingly receptive to new tools, which help them to improve their processes in terms of economic, environmental and social aspects. This paper aims to analyze an already existent retrofit tool called SustainPro in order to assess the level of input detail required for the analysis. Three scenarios with an increased level of input detail were analyzed. SustainPro was run to all the scenarios and conclusions were taken about the achieved output: indicators sensitivity and the design outcome suggested by the methodology. This work presents a new approach to simplify the input data used in this retrofit analysis (SustainPro) when used by industrial companies, which usually present very complex flowsheets. This study will be based on a formaldehyde production process accomplished by a Portuguese company.

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering Book
Author : Tetsuo Fuchino,Yukiyasu Shimada,Teiji Kitajima,Kazuhiro Takeda,Masazumi Miyazawa
Publisher : Elsevier Inc. Chapters
Release : 2013-06-10
ISBN : 0128085991
Language : En, Es, Fr & De

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Book Description :

The technology of a company is represented by its technology standards, and their exhaustiveness and consistency are important for competitiveness of the company. We have developed the systematized business process model for plant maintenance as IDEF0 (Integration Definition for Function) activity model, and the requirements of technology standards have been defined. In this study, framework to generate engineering standards is proposed. The requirements for engineering standards are analyzed on the basis of the developed IDEF0 model, and two types of standards are found to be necessary for each required engineering standard. From the property of these standards, IDEF0 activity model to generate engineering standards is developed.

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering Book
Author : Sebastian Recker,Nimet Kerimoglu,Andreas Harwardt,Olga Tkacheva,Wolfgang Marquardt
Publisher : Elsevier Inc. Chapters
Release : 2013-06-10
ISBN : 0128086696
Language : En, Es, Fr & De

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Book Description :

Reliable models for rate-based phenomena are the backbone of model-based process design. These models are often unknown in the early design phase and need to be determined from laboratory experiments. Although model-based experimental analysis and process design are often executed sequentially, the kinetic models might not be suitable to reliably design a process. In this paper, we address this problem and present a first step on the integration of model identification and process optimization. Rather than decoupling model identification and process optimization, we use information from process optimization to design optimal experiments for improving the quality of the kinetic model given the intended use of the model. Sensitivities, which describe the influence of parametric uncertainties on the economic objective used in process optimization, are used as weights for optimal experimental design. This way, the confidence in the parameter values is maximized to reduce their influence on the process optimization objective. This first step on the integration of model identification and process optimization improves the predictive quality of a reaction kinetic model for process design without any further experimental effort.