Implementing Improved Model Predictive Control of Selective Catalytic Reduction

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ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (141 download)

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Book Synopsis Implementing Improved Model Predictive Control of Selective Catalytic Reduction by : Jonathan A. Sowman

Download or read book Implementing Improved Model Predictive Control of Selective Catalytic Reduction written by Jonathan A. Sowman and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Implementing Improved Model Predictive Control of Selective Catalytic Reduction

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ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (133 download)

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Book Synopsis Implementing Improved Model Predictive Control of Selective Catalytic Reduction by : Jonathan Sowman

Download or read book Implementing Improved Model Predictive Control of Selective Catalytic Reduction written by Jonathan Sowman and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Distributed Parameter Control of Selective Catalytic Reduction (SCR) for Diesel-powered Vehicles

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ISBN 13 :
Total Pages : 71 pages
Book Rating : 4.:/5 (871 download)

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Book Synopsis Distributed Parameter Control of Selective Catalytic Reduction (SCR) for Diesel-powered Vehicles by : Hallas Pakravesh

Download or read book Distributed Parameter Control of Selective Catalytic Reduction (SCR) for Diesel-powered Vehicles written by Hallas Pakravesh and published by . This book was released on 2013 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main scope of this work is to design a distributed parameter control for SCR, which is modelled by using coupled hyperbolic and parabolic partial differential equations (PDEs). This is a boundary control problem where the control objectives are to reduce the amount of NO[subscript x] emissions and ammonia slip as far as possible. Two strategies are used to control SCR. The first strategy includes using the direct transcription (DT) as the open-loop control technique. The second strategy includes the design of a closed-loop control technique that uses a new numerical method developed in this work, which combines the method of characteristics and spectral decomposition, and the characteristic-based nonlinear model predictive control (CBNMPC) as the control algorithm. The results show that the designed advanced controllers are able to achieve very high control performance in terms of NO[subscript x] and ammonia slip reduction.

Selective Catalytic Reduction of NOx

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Publisher : MDPI
ISBN 13 : 3038973645
Total Pages : 281 pages
Book Rating : 4.0/5 (389 download)

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Book Synopsis Selective Catalytic Reduction of NOx by : Oliver Kröcher

Download or read book Selective Catalytic Reduction of NOx written by Oliver Kröcher and published by MDPI. This book was released on 2018-12-14 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Selective Catalytic Reduction of NOx" that was published in Catalysts

23 European Symposium on Computer Aided Process Engineering

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Publisher : Elsevier Inc. Chapters
ISBN 13 : 0128086653
Total Pages : 17 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis 23 European Symposium on Computer Aided Process Engineering by : Mihaela Iancu

Download or read book 23 European Symposium on Computer Aided Process Engineering written by Mihaela Iancu and published by Elsevier Inc. Chapters. This book was released on 2013-06-10 with total page 17 pages. Available in PDF, EPUB and Kindle. Book excerpt: The environment safety and climate changes reduction are two important aspects which partially can be achieved by lowering gaseous emissions emerged from chemical industry. These emissions are characterized by low pollutant concentration, high volumes of gases and low temperatures. Their treatment could emerge in economical sustainable technologies only if the reactors used are capable of high yields, high selectivity and autothermal behavior. The forced unsteady-state reactors are an excellent choice for treating this type of emissions because allow trapping of the moving heat wave inside the catalytic bed when exothermic reactions take place; the catalytic bed acts as a regenerative heat exchanger creating the premises of a sustain autothermal behavior even if the temperature of the feed is low. Nevertheless, the forced unsteady state reactors are characterized by a remarkable complex dynamic behavior, as a consequence of the complex interaction between heat and mass transport phenomena inside the reactor. This dynamic behavior gives rise to a set of spatial-temporal patterns, chaotic changes in concentration and traveling waves of heat and chemical reactivity, difficult to deal with. Therefore, an advance control strategy is needed to be applied in order to tackle with all issues that characterize reactors with improved contact between reactants, in which the thermal wave is stored and which allow improved kinetic activity of the catalyst used. The catalytic activity is the main operation concern for processes with low feed temperatures and constraints related to low emissions of unconverted reactants. Therefore, predictions of reactor pseudo or steady-state performances regarding conversion, selectivity and thermal behavior and the dynamic reactor response during exploitation are important aspects in finding the optimal control strategy. Moreover, the switching time and the reagents concentrations in the feeding zone are the main operating parameters that may be adapted or changed to fulfill the condition of zero emissions when using forced unsteady-state reactors. Nevertheless, due to unsteady state reactors characteristics, the adaptation of these parameters to process requirements reveals important control design problems. Therefore, in this paper the possibility of using an advanced control strategy, combining model predictive control (MPC) with an on-off control was studied in order to handle with problems that arise when using a forced unsteady-state catalytic reactor network (RN) in case of selective catalytic reduction of NOx with ammonia. The RN system consists of a network of three plug-flow reactors in series, operated in a closed loop configuration. The RN dynamic model was developed using MatLab/Simulink software. The results revealed that the proposed control strategy (i.e. the on-off control and MPC) can successfully handle the NOx emissions of this kind of reactors.

Robust and Fault-Tolerant Control

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Publisher : Springer
ISBN 13 : 303011869X
Total Pages : 209 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Robust and Fault-Tolerant Control by : Krzysztof Patan

Download or read book Robust and Fault-Tolerant Control written by Krzysztof Patan and published by Springer. This book was released on 2019-03-16 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robust and Fault-Tolerant Control proposes novel automatic control strategies for nonlinear systems developed by means of artificial neural networks and pays special attention to robust and fault-tolerant approaches. The book discusses robustness and fault tolerance in the context of model predictive control, fault accommodation and reconfiguration, and iterative learning control strategies. Expanding on its theoretical deliberations the monograph includes many case studies demonstrating how the proposed approaches work in practice. The most important features of the book include: a comprehensive review of neural network architectures with possible applications in system modelling and control; a concise introduction to robust and fault-tolerant control; step-by-step presentation of the control approaches proposed; an abundance of case studies illustrating the important steps in designing robust and fault-tolerant control; and a large number of figures and tables facilitating the performance analysis of the control approaches described. The material presented in this book will be useful for researchers and engineers who wish to avoid spending excessive time in searching neural-network-based control solutions. It is written for electrical, computer science and automatic control engineers interested in control theory and their applications. This monograph will also interest postgraduate students engaged in self-study of nonlinear robust and fault-tolerant control.

Model Predictive Control

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Publisher : Springer
ISBN 13 : 9811300836
Total Pages : 143 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Model Predictive Control by : Ridong Zhang

Download or read book Model Predictive Control written by Ridong Zhang and published by Springer. This book was released on 2018-08-14 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph introduces the authors’ work on model predictive control system design using extended state space and extended non-minimal state space approaches. It systematically describes model predictive control design for chemical processes, including the basic control algorithms, the extension to predictive functional control, constrained control, closed-loop system analysis, model predictive control optimization-based PID control, genetic algorithm optimization-based model predictive control, and industrial applications. Providing important insights, useful methods and practical algorithms that can be used in chemical process control and optimization, it offers a valuable resource for researchers, scientists and engineers in the field of process system engineering and control engineering.

Handbook of Model Predictive Control

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Publisher : Springer
ISBN 13 : 3319774891
Total Pages : 693 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Handbook of Model Predictive Control by : Saša V. Raković

Download or read book Handbook of Model Predictive Control written by Saša V. Raković and published by Springer. This book was released on 2018-09-01 with total page 693 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent developments in model-predictive control promise remarkable opportunities for designing multi-input, multi-output control systems and improving the control of single-input, single-output systems. This volume provides a definitive survey of the latest model-predictive control methods available to engineers and scientists today. The initial set of chapters present various methods for managing uncertainty in systems, including stochastic model-predictive control. With the advent of affordable and fast computation, control engineers now need to think about using “computationally intensive controls,” so the second part of this book addresses the solution of optimization problems in “real” time for model-predictive control. The theory and applications of control theory often influence each other, so the last section of Handbook of Model Predictive Control rounds out the book with representative applications to automobiles, healthcare, robotics, and finance. The chapters in this volume will be useful to working engineers, scientists, and mathematicians, as well as students and faculty interested in the progression of control theory. Future developments in MPC will no doubt build from concepts demonstrated in this book and anyone with an interest in MPC will find fruitful information and suggestions for additional reading.

Model Based Control

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Publisher : John Wiley & Sons
ISBN 13 : 3527609229
Total Pages : 290 pages
Book Rating : 4.5/5 (276 download)

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Book Synopsis Model Based Control by : Paul Serban Agachi

Download or read book Model Based Control written by Paul Serban Agachi and published by John Wiley & Sons. This book was released on 2007-09-24 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Filling a gap in the literature for a practical approach to the topic, this book is unique in including a whole section of case studies presenting a wide range of applications from polymerization reactors and bioreactors, to distillation column and complex fluid catalytic cracking units. A section of general tuning guidelines of MPC is also present.These thus aid readers in facilitating the implementation of MPC in process engineering and automation. At the same time many theoretical, computational and implementation aspects of model-based control are explained, with a look at both linear and nonlinear model predictive control. Each chapter presents details related to the modeling of the process as well as the implementation of different model-based control approaches, and there is also a discussion of both the dynamic behaviour and the economics of industrial processes and plants. The book is unique in the broad coverage of different model based control strategies and in the variety of applications presented. A special merit of the book is in the included library of dynamic models of several industrially relevant processes, which can be used by both the industrial and academic community to study and implement advanced control strategies.

Practical Design and Application of Model Predictive Control

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Publisher : Butterworth-Heinemann
ISBN 13 : 0128139196
Total Pages : 264 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Practical Design and Application of Model Predictive Control by : Nassim Khaled

Download or read book Practical Design and Application of Model Predictive Control written by Nassim Khaled and published by Butterworth-Heinemann. This book was released on 2018-05-04 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Design and Application of Model Predictive Control is a self-learning resource on how to design, tune and deploy an MPC using MATLAB® and Simulink®. This reference is one of the most detailed publications on how to design and tune MPC controllers. Examples presented range from double-Mass spring system, ship heading and speed control, robustness analysis through Monte-Carlo simulations, photovoltaic optimal control, and energy management of power-split and air-handling control. Readers will also learn how to embed the designed MPC controller in a real-time platform such as Arduino®. The selected problems are nonlinear and challenging, and thus serve as an excellent experimental, dynamic system to show the reader the capability of MPC. The step-by-step solutions of the problems are thoroughly documented to allow the reader to easily replicate the results. Furthermore, the MATLAB® and Simulink® codes for the solutions are available for free download. Readers can connect with the authors through the dedicated website which includes additional free resources at www.practicalmpc.com. Illustrates how to design, tune and deploy MPC for projects in a quick manner Demonstrates a variety of applications that are solved using MATLAB® and Simulink® Bridges the gap in providing a number of realistic problems with very hands-on training Provides MATLAB® and Simulink® code solutions. This includes nonlinear plant models that the reader can use for other projects and research work Presents application problems with solutions to help reinforce the information learned

Urea-SCR Technology for deNOx After Treatment of Diesel Exhausts

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Publisher : Springer Science & Business Media
ISBN 13 : 1489980717
Total Pages : 715 pages
Book Rating : 4.4/5 (899 download)

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Book Synopsis Urea-SCR Technology for deNOx After Treatment of Diesel Exhausts by : Isabella Nova

Download or read book Urea-SCR Technology for deNOx After Treatment of Diesel Exhausts written by Isabella Nova and published by Springer Science & Business Media. This book was released on 2014-03-14 with total page 715 pages. Available in PDF, EPUB and Kindle. Book excerpt: Urea-SCR Technology for deNOx After Treatment of Diesel Exhausts presents a complete overview of the selective catalytic reduction of NOx by ammonia/urea. The book starts with an illustration of the technology in the framework of the current context (legislation, market, system configurations), covers the fundamental aspects of the SCR process (catalysts, chemistry, mechanism, kinetics) and analyzes its application to useful topics such as modeling of full scale monolith catalysts, control aspects, ammonia injections systems and integration with other devices for combined removal of pollutants.

Model-based Control of Selective Catalytic Reduction Systems

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (925 download)

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Book Synopsis Model-based Control of Selective Catalytic Reduction Systems by : Mu Wang

Download or read book Model-based Control of Selective Catalytic Reduction Systems written by Mu Wang and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Periodic Operation of Chemical Reactors

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Publisher : Butterworth-Heinemann
ISBN 13 : 0123918669
Total Pages : 793 pages
Book Rating : 4.1/5 (239 download)

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Book Synopsis Periodic Operation of Chemical Reactors by : P. L. Silveston

Download or read book Periodic Operation of Chemical Reactors written by P. L. Silveston and published by Butterworth-Heinemann. This book was released on 2012-12-04 with total page 793 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive review, prepared by 24 experts, many of whom are pioneers of the subject, brings together in one place over 40 years of research in this unique publication. This book will assist R & D specialists, research chemists, chemical engineers or process managers harnessing periodic operations to improve their process plant performance. Periodic Operation of Reactors covers process fundamentals, research equipment and methods and provides "the state of the art" for the periodic operation of many industrially important catalytic reactions. Emphasis is on experimental results, modeling and simulation. Combined reaction and separation are dealt with, including simulated moving bed chromatographic, pressure and temperature swing and circulating bed reactors. Thus, Periodic Operation of Reactors offers readers a single comprehensive source for the broad and diverse new subject. This exciting new publication is a "must have" for any professional working in chemical process research and development. A comprehensive reference on the fundamentals, development and applications of periodic operation Contributors and editors include the pioneers of the subject as well as the leading researchers in the field Covers both fundamentals and the state of the art for each operation scenario, and brings all types of periodic operation together in a single volume Discussion is focused on experimental results rather than theoretical ones; provides a rich source of experimental data, plus process models Accompanying website with modelling data

Advances in Green Energy Systems and Smart Grid

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Publisher : Springer
ISBN 13 : 981132381X
Total Pages : 340 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Advances in Green Energy Systems and Smart Grid by : Kang Li

Download or read book Advances in Green Energy Systems and Smart Grid written by Kang Li and published by Springer. This book was released on 2018-09-04 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set CCIS 923, CCIS 924, and CCIS 925 constitutes the thoroughly refereed proceedings of the First International Conference on Intelligent Manufacturing and Internet of Things, and of the 5th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2018, held in Chongqing, China, in September 2018.The 135 revised full papers presented were carefully reviewed and selected from over 385 submissions.The papers of this volume are organized in topical sections on: clean energy; electric vehicles; energy saving; energy storages; power system analysis.

Design and Evaluation of an Improved Mixer for a Selective Catalytic Reduction System

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Design and Evaluation of an Improved Mixer for a Selective Catalytic Reduction System by : David Stelzer

Download or read book Design and Evaluation of an Improved Mixer for a Selective Catalytic Reduction System written by David Stelzer and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Tube-enhanced Multi-stage Model Predictive Control

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Publisher :
ISBN 13 : 9783844079043
Total Pages : 0 pages
Book Rating : 4.0/5 (79 download)

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Book Synopsis Tube-enhanced Multi-stage Model Predictive Control by : Sankaranarayanan Subramanian

Download or read book Tube-enhanced Multi-stage Model Predictive Control written by Sankaranarayanan Subramanian and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Optimal Control in Selective Catalytic Reduction Using Linear Quadratic Regulator

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Publisher :
ISBN 13 :
Total Pages : 60 pages
Book Rating : 4.:/5 (114 download)

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Book Synopsis Optimal Control in Selective Catalytic Reduction Using Linear Quadratic Regulator by : Aishvarya Hariharan

Download or read book Optimal Control in Selective Catalytic Reduction Using Linear Quadratic Regulator written by Aishvarya Hariharan and published by . This book was released on 2016 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: In current scenario, it is significant to have harmful emissions under control and supervision by deploying control technology is indispensable. In the thermal power plants, diesel engine industries hazardous gases are being emitted and Nitric Oxide gases (represented by NOx) are one among them. Thus, (EPA) Environmental Protection Agency has set standards where the industry has to pertain to it in order to minimize the level of NOx to a certain level. Selective Catalytic Reduction (SCR) means converting nitrogen oxides [NOx] with the aid of a catalyst into nitrogen and water using a reducing agent ammonia (NH3) in this example. In the existing system, the two classical Proportional Integral Derivative controllers (cascade controller) is employed to reduce the NOx value by predicting the set point of ammonia. In this process, we get higher cost, increased peak overshoot and more settling time, which caused time delay affecting the process to a certain extent. In the proposed system, we are incorporating Linear Quadratic Regulator in place of two PID controllers, where we optimize the system to get a constant feedback which overcomes the existing disadvantages of the existing system. The LQR technique minimizes the energy of the system by giving minimum cost which is lesser than that of nominal cost of the system. This also gives low cost, faster setting time and less peak overshoot when compared to PID controller.