December 5, 2020

Download Ebook Free 23 European Symposium On Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering
Author : Alireza Hosseini,Milad Oshaghi,Sebastian Engell
Publisher : Elsevier Inc. Chapters
Release Date : 2013-06-10
Category : Science
Total pages :1088
GET BOOK

In this paper, a new control strategy that employs a mid-course correction to control the particle size distribution in emulsion polymerization is developed. In this approach, online and infrequent measurements are used to obtain the states of the system at the mid-course of the process. Then an optimization is performed to obtain the optimal trajectory of the input from the mid-course up to the end of the process. For this optimization, a hybrid model is used. This hybrid model consists of the Fokker-Planck particle size distribution model of emulsion polymerization and a data-driven component which corrects the predictions of the Fokker-Planck model based upon the estimated states of the system at the mid-course of the process.

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering
Author : Georgios M. Kopanos,Efstratios N. Pistikopoulos
Publisher : Elsevier Inc. Chapters
Release Date : 2013-06-10
Category : Science
Total pages :1088
GET BOOK

This work introduces a methodology for the solution of reactive scheduling problems in small-scale fuel cell systems that cogenerate heat and power. The proposed approach successfully transforms the on-line optimization problem into a closed-loop control problem. In brief, a multiparametric programming problem is formulated and solved once and off-line, and afterwards a receding horizon-like approach is applied for the online scheduling by performing just function evaluations and avoiding on-line optimization. The proposed concept is promising and extensions can involve: large-scale optimization problems and process scheduling problems under uncertainty.

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering
Author : Agustín F. Montagna,Diego C. Cafaro,Jaime Cerdá
Publisher : Elsevier Inc. Chapters
Release Date : 2013-06-10
Category : Science
Total pages :1088
GET BOOK

Among the refined petroleum products obtained in an oil refinery, gasoline contributes with more than half of the total profits. This work is focused on the last stage of the gasoline processing in which different "cuts" are blended together with additives and oil fractions in order to fulfill customers' demands with the right product at the right time. The short-term planning of these operations becomes a complex task due to the need of managing a large number of orders, delivery time-windows, blending equipments, intermediate and final product tanks, quality specifications, and variable product recipes. Early works have adopted mixed-integer linear programming (MILP) models, based on unit-specific time slots, requiring extremely large CPU times to obtain the optimal solution. This work introduces an alternative formulation using the General Precedence sequencing concept for the integrated short-term planning of gasoline blending and distribution operations in order to minimize production costs, inventory levels and quality giveaways; improve customer satisfaction and avoid ship demurrage. Six industry-scale examples have been solved. Compared to previous works, results show similar solutions with reductions in CPU times of up to three orders of magnitude.

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering
Author : Claudio Carletti,Henrik Grénman,Cataldo De Blasio,Tapio Westerlund
Publisher : Elsevier Inc. Chapters
Release Date : 2013-06-10
Category : Science
Total pages :1088
GET BOOK

Anthropogenic sulfur dioxide (SO2) is principally the product of energy conversion through combustion of fossil fuel sources. This pollutant causes acidic rain and can also be harmful for human health. Many means for controlling sulfur dioxide emission are available in the market and have been extensively applied. Among these techniques, wet flue gas desulfurization is one of the most widely used methods because of its reliability and high efficiency. Nonetheless, high energy and water consumption are among its principal drawbacks. Limestone dissolution has been accounted as one of the main controlling steps of the process (). Even though limestone is dissolved in acidic media in many industrial processes worldwide, no commonly accepted mathematical models exist for the dissolution kinetics at the moment. The reasons for the contradictory results in literature dwell, at least to considerable extent, from the varying influence of mass transfer limitations and the influence of CO2 on the pH. Experimental equipment and a methodology for evaluating the kinetic regime of a high grade limestone commercially used for desulfurization was developed in the current study. The results show that the kinetic regime, necessary to properly characterize the dissolution rate, can be reached even with small particle size and high temperatures with the help of severe agitation to overcome solid-liquid mass transfer and powerful purging to minimize the influence of carbonic acid on the pH. The method can be directly applied for investigating and comparing the reactivities of various limestone samples for industrial purposes.

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering
Author : Matylda Jabłońska,Robert Sitarz,Andrzej Kraslawski
Publisher : Elsevier Inc. Chapters
Release Date : 2013-06-10
Category : Science
Total pages :1088
GET BOOK

The increasing costs of research and the decreasing lifetime of products and processes make the decisions on allocation of R&D funds strategically important. Therefore, ability to predict research trends is crucial in minimizing risks of R&D expenditure planning. The purpose of this paper is to propose a model for efficient prediction of research trends in a chosen branch of science. The approach is based on population dynamics with Burgers' type global interaction and selective neighborhood. The model is estimated based on a training set and an out-of-sample forecast is performed. The research trends of filtration processes were analysed in this paper. The simulation results show that the model is able to predict the trends with a considerable accuracy and should, therefore, be tested on a wider range of research fields.

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering
Author : Michele Mattei,Michael Hill,Georgios M. Kontogeorgis,Rafiqul Gani
Publisher : Elsevier Inc. Chapters
Release Date : 2013-06-10
Category : Science
Total pages :1088
GET BOOK

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 is obtained, the stability of which as en emulsion is finally checked with appropriate models. Structured databases, appropriate pure component as well as mixture property models, rule-based selection criteria and CAMD techniques are employed together to obtain one or more candidate formulations. A conceptual case-study representing a personal detergent is presented to highlight the methodology.

23rd European Symposium on Computer Aided Process Engineering

23rd European Symposium on Computer Aided Process Engineering
Author : Anonim
Publisher : Elsevier
Release Date : 2013-06-10
Category : Technology & Engineering
Total pages :1088
GET BOOK

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
Author : Nor Alafiza Yunus,Krist V. Gernaey,John M. Woodley,Rafiqul Gani
Publisher : Elsevier Inc. Chapters
Release Date : 2013-06-10
Category : Science
Total pages :1088
GET BOOK

This paper presents a systematic methodology for designing blended products consisting of three stages; product design, process identification and experimental verification. The product design stage is considered in this paper. The objective of this stage is to screen and select suitable chemicals to be used as building blocks in the mixture design, and then to propose the blend formulations that fulfill the desired product attributes. The result is a set of blends that match the constraints, the compositions, values of the target properties and information about their miscibility. The methodology has been applied to design several blended products. A case study on design of blended lubricants is highlighted. The objective is to identify blended products that satisfy the product attributes with at least similar or better performance compared to conventional products.

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering
Author : Sebastian Recker,Nimet Kerimoglu,Andreas Harwardt,Olga Tkacheva,Wolfgang Marquardt
Publisher : Elsevier Inc. Chapters
Release Date : 2013-06-10
Category : Science
Total pages :1088
GET BOOK

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.

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering
Author : Vasile-Mircea Cristea,Elisabeta-Cristina Ani,Paul Serban Agachi
Publisher : Elsevier Inc. Chapters
Release Date : 2013-06-10
Category : Science
Total pages :1088
GET BOOK

Based on a previously developed dynamic simulator, aimed to predict the distribution of a pollutant accidental discharge in a river segment, the present work investigated the way automatic measures may be implemented for counteracting their negative effects. The complex time and space distribution of the pollutant concentration in the downstream region of the pollutant release is revealed by the k-ε turbulence model of the flow, associated to the convection-diffusion-reaction processes. This information is used by the model based predictive control strategy for adding a neutralizing agent in certain points of the river segment in order to reduce the downstream pollutant concentration. Both feedback and combined feeedback-feedforward model predictive control structures are considered and the results are presented for the case study of a River Somes segment, in the scenario of the continuous pollutant release.

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering
Author : Nikolaos Trokanas,Tara Raafat,Franjo Cecelja,Antonis Kokossis
Publisher : Elsevier Inc. Chapters
Release Date : 2013-06-10
Category : Science
Total pages :1088
GET BOOK

This paper proposes an ontological framework to support Industrial Symbiosis (IS) operation. The framework exploits semantic knowledge modeling and enables structural data transformation for identification of potential synergies between various industries and hence formation of one to one and complex symbiotic networks.

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering
Author : Elisabet Capón-García,Stavros Papadokonstantakis,Konrad Hungerbühler
Publisher : Elsevier Inc. Chapters
Release Date : 2013-06-10
Category : Science
Total pages :1088
GET BOOK

This work presents a multi-period waste management multi-objective optimization, considering economic and environmental issues. The specific behavior of the considered waste management treatments is included in the optimization problem as black-box models based on practical industrial practice computing utility requirements and emissions. To achieve more realistic solutions, the estimation of waste treatment costs and environmental impacts has been explicitly added to the assessment scheme, as well as the constraints of the operating conditions in the treatment units and the fulfillment of environmental regulations for water and air emissions. This framework is applied to an industrial based case study and used to analyze the waste mixing potential. Two main strategies are proposed to tackle the problem using a rigorous mathematical problem formulation. The performance of both strategies is compared in terms of solution quality and computational complexity with the final aim of finding an efficient methodology for posing the heat and waste management integration problem in a future work.

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering
Author : Cecilia Fortunatti,Claudia Sarmoria,Adriana Brandolin,Mariano Asteasuain
Publisher : Elsevier Inc. Chapters
Release Date : 2013-06-10
Category : Science
Total pages :1088
GET BOOK

In this work, a model for the RAFT polymerization was developed in order to obtain the full molecular weight distribution (MWD) using probability generating functions (pgf). For comparison purposes, the population balances were solved by direct integration of the resulting equations. Our results show that the pgf technique allows obtaining an accurate solution while drastically reducing the required computational time.

23 European Symposium on Computer Aided Process Engineering

23 European Symposium on Computer Aided Process Engineering
Author : Johannes Jung,Niklas von der Assen,André Bardow
Publisher : Elsevier Inc. Chapters
Release Date : 2013-06-10
Category : Science
Total pages :1088
GET BOOK

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

23 European Symposium on Computer Aided Process Engineering
Author : Anshu Gupta,Aran Giridhar,Ginataras V. Reklaitis,Venkat Venkatasubramanian
Publisher : Elsevier Inc. Chapters
Release Date : 2013-06-10
Category : Science
Total pages :1088
GET BOOK

One of the important challenges in effective real time process management is the implementation of intelligent systems that can assist human operators in making supervisory control decisions, instead of simply sounding an alarm when process variables go out of range. Operator failures to exercise the appropriate mitigation actions often have an adverse effect on product quality, process safety, occupational health and environment. The challenges and opportunities for improvements are even greater in the pharmaceutical manufacturing domain because of the characteristic features of solid processing. An Intelligent Alarm System (IAS) is developed for monitoring of a continuous dry granulation line. The application of the framework is demonstrated through a case study on a roller compactor. The framework provides information to the operator regarding the detection and diagnosis of exceptional events along with relevant mitigation strategies, with the goal of avoiding the progression of the process to emergency shutdown.