23 European Symposium On Computer Aided Process Engineering PDF Book

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23rd European Symposium on Computer Aided Process Engineering

Author : Anonim
Publisher : Elsevier
Release : 2013-06-10
Category : Technology & Engineering
ISBN : 9780444632418
File Size : 12,9 Mb
Total Download : 689

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Book Summary: 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

Author : Laurence Tock,François Maréchal
Publisher : Elsevier Inc. Chapters
Release : 2013-06-10
Category : Science
ISBN : 9780128085608
File Size : 38,8 Mb
Total Download : 632

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Book Summary: In the context of greenhouse gas emissions mitigation, CO2 capture and storage is regarded as a promising alternative for fossil fuel fed power plants. In order to design and evaluate the competitiveness of such complex integrated energy conversion systems, a systematic comparison including thermodynamic, economic and environmental considerations is necessary. From a process engineering perspective, it is important to evaluate the impact of CO2 capture not only on the efficiency but also on the costs and on the environmental impacts, and to assess the trade-offs. This paper presents the development of a systematic thermo-environomic optimisation strategy for the consistent modelling, comparison and optimisation of fuel decarbonisation options. In particular, it is highlighted how the economic scenario influences the competitiveness and hence the optimal process design.

23 European Symposium on Computer Aided Process Engineering

Author : Jian-Guo Wang,Jia-Lin Kang,Shyan-Shu Shieh,Shi-Shang Jang,David Shan-Hill Wong
Publisher : Elsevier Inc. Chapters
Release : 2013-06-10
Category : Science
ISBN : 9780128085431
File Size : 55,9 Mb
Total Download : 196

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Book Summary: The plant input variables are transformed into the derived variables, which are physically and statistically meaningful for modeling. Then, this study proposed an adaptive modeling approach by employing nonnegative garrote variable selection and auto-regression integrated moving average correction. The high accuracy of the proposed modeling approaches makes the implementation of the model-based control of ratio of air to fuel for improving boiler's efficiency readily practicable.

23 European Symposium on Computer Aided Process Engineering

Author : Marina Fedorova,Gurkan Sin,Rafiqul Gani
Publisher : Elsevier Inc. Chapters
Release : 2013-06-10
Category : Science
ISBN : 9780128086285
File Size : 25,8 Mb
Total Download : 775

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Book Summary: 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 models systematically, efficiently and reliably. In this way, development of products and processes can be made faster, cheaper and more efficient. In this contribution, as part of the framework a generic modeling template for the systematic derivation of problem specific catalytic membrane fixed bed reactor models is presented. The application of the modeling template is highlighted with a case study related to the modeling of a catalytic membrane reactor coupling dehydrogenation of ethylbenzene with hydrogenation of nitrobenzene.

23 European Symposium on Computer Aided Process Engineering

Author : Yuan-Jui Liu,Tao Chen,Yuan Yao
Publisher : Elsevier Inc. Chapters
Release : 2013-06-10
Category : Science
ISBN : 9780128086674
File Size : 54,9 Mb
Total Download : 564

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Book Summary: In order to monitor nonlinear processes, kernel principal component analysis (KPCA) has become a popular technique. Nevertheless, KPCA suffers from two major disadvantages. First, the underlying manifold structure of data is not considered in process modeling. Second, the selection of kernel function and kernel parameters is always problematic. To avoid such deficiencies, an integrating method of manifolding learning and Gaussian process is proposed in this paper, which extends the utilization of maximum variance unfolding (MVU) to online process monitoring and fault isolation. The proposed method is named as extendable MVU (EMVU), whose effectiveness is verified by the case studies on the benchmark Tennessee Eastman (TE) process.

23 European Symposium on Computer Aided Process Engineering

Author : Jialin Liu,Shu Jie Liu,David Shan Hill Wong
Publisher : Elsevier Inc. Chapters
Release : 2013-06-10
Category : Science
ISBN : 9780128086247
File Size : 33,9 Mb
Total Download : 856

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Book Summary: 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 limits of the contributions cannot be used to isolate faulty variables, since the control limits are obtained from the normal operating data, which lack any information about the faults. In chemical processes, process faults rarely show a random behavior; on the contrary, they will be propagated to varying variables due to the actions of the process controllers. During the evolution of a fault, the task of isolating faulty variables needs to be concerned with the faulty variables decided in the previous data; in addition, the current decisions should influence the isolation results for the next sample when the fault is constantly occurring. In the presented work, an unsupervised data-driven fault isolation method was developed based on Bayesian decision theory. The Tennessee Eastman (TE) process was used as a benchmark example to demonstrate how the different faulty variables were isolated when the fault was evolving.

23 European Symposium on Computer Aided Process Engineering

Author : Johannes Jung,Niklas von der Assen,André Bardow
Publisher : Elsevier Inc. Chapters
Release : 2013-06-10
Category : Science
ISBN : 9780128086551
File Size : 30,8 Mb
Total Download : 817

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Book Summary: Environmental process design methods often incorporate life-cycle assessment (LCA) as a deterministic black-box methodology. However, LCA suffers from several sources of ambiguity and uncertainty. These limitations are particularly severe for the multi-functional processes typical for the chemical industry. This work introduces a rigorous uncertainty assessment framework. The framework quantifies data uncertainties and also uncertainties that result from fixing multi-functionality in LCA by allocation. The method is derived from a matrix-framework for LCA and applied to a comparison of alternative chlorine electrolysis technologies.

23 European Symposium on Computer Aided Process Engineering

Author : Kazuhiro Takeda,Hideo Saito,Yukiyasu Shiamad,Teiji Kitajima,Tetsuo Fuchino,Yuji Naka
Publisher : Elsevier Inc. Chapters
Release : 2013-06-10
Category : Science
ISBN : 9780128086001
File Size : 47,9 Mb
Total Download : 347

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Book Summary: 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.