Integrated Process Modeling Advanced Control And Data Analytics For Op

Integrated Process Modeling Advanced Control And Data Analytics For Optimizing Polyolefin Manufacturing 2 Volume Set Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Integrated Process Modeling Advanced Control And Data Analytics For Optimizing Polyolefin Manufacturing 2 Volume Set book. This book definitely worth reading, it is an incredibly well-written.

Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing, 2 Volume Set

Y. A. Liu,Niket Sharma

Author : Y. A. Liu,Niket Sharma
Publisher : Wiley-VCH
Page : 0 pages
File Size : 51,6 Mb
Release : 2023-07-24
Category : Technology & Engineering
ISBN : 3527352678

Get Book

Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing, 2 Volume Set by Y. A. Liu,Niket Sharma Pdf

Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing Detailed resource on the “Why,” “What,” and “How” of integrated process modeling, advanced control and data analytics explained via hands-on examples and workshops for optimizing polyolefin manufacturing. Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing discusses, as well as demonstrates, the optimization of polyolefin production by covering topics from polymer process modeling and advanced process control to data analytics and machine learning, and sustainable design and industrial practice. The text also covers practical problems, handling of real data streams, developing the right level of detail, and tuning models to the available data, among other topics, to allow for easy translation of concepts into practice. Written by two highly qualified authors, Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing includes information on: Segment-based modeling of polymer processes; selection of thermodynamic methods; estimation of physical properties for polymer process modeling Reactor modeling, convergence tips and data-fit tool; free radical polymerization (LDPE, EVA and PS), Ziegler-Natta polymerization (HDPE, PP, LLPDE, and EPDM) and ionic polymerization (SBS rubber) Improved polymer process operability and control through steady-state and dynamic simulation models Model-predictive control of polyolefin processes and applications of multivariate statistics and machine learning to optimizing polyolefin manufacturing Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing enables readers to make full use of advanced computer models and latest data analytics and machine learning tools for optimizing polyolefin manufacturing, making it an essential resource for undergraduate and graduate students, researchers, and new and experienced engineers involved in the polyolefin industry.

Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing

Yih An Liu,Niket Sharma

Author : Yih An Liu,Niket Sharma
Publisher : Unknown
Page : 0 pages
File Size : 45,7 Mb
Release : 2023
Category : Polyolefin industry
ISBN : 3527352694

Get Book

Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing by Yih An Liu,Niket Sharma Pdf

Detailed resource on the “Why,” “What,” and “How” of integrated process modeling, advanced control and data analytics explained via hands-on examples and workshops for optimizing polyolefin manufacturing. Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing discusses, as well as demonstrates, the optimization of polyolefin production by covering topics from polymer process modeling and advanced process control to data analytics and machine learning, and sustainable design and industrial practice. The text also covers practical problems, handling of real data streams, developing the right level of detail, and tuning models to the available data, among other topics, to allow for easy translation of concepts into practice. Written by two highly qualified authors, Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing includes information on: Segment-based modeling of polymer processes; selection of thermodynamic methods; estimation of physical properties for polymer process modeling; Reactor modeling, convergence tips and data-fit tool; free radical polymerization (LDPE, EVA and PS), Ziegler-Natta polymerization (HDPE, PP, LLPDE, and EPDM) and ionic polymerization (SBS rubber); Improved polymer process operability and control through steady-state and dynamic simulation models; Model-predictive control of polyolefin processes and applications of multivariate statistics and machine learning to optimizing polyolefin manufacturing. Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing enables readers to make full use of advanced computer models and latest data analytics and machine learning tools for optimizing polyolefin manufacturing, making it an essential resource for undergraduate and graduate students, researchers, and new and experienced engineers involved in the polyolefin industry.

Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing

Y. A. Liu,Niket Sharma

Author : Y. A. Liu,Niket Sharma
Publisher : John Wiley & Sons
Page : 1027 pages
File Size : 42,5 Mb
Release : 2023-07-25
Category : Technology & Engineering
ISBN : 9783527843824

Get Book

Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing by Y. A. Liu,Niket Sharma Pdf

Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing Detailed resource on the “Why,” “What,” and “How” of integrated process modeling, advanced control and data analytics explained via hands-on examples and workshops for optimizing polyolefin manufacturing. Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing discusses, as well as demonstrates, the optimization of polyolefin production by covering topics from polymer process modeling and advanced process control to data analytics and machine learning, and sustainable design and industrial practice. The text also covers practical problems, handling of real data streams, developing the right level of detail, and tuning models to the available data, among other topics, to allow for easy translation of concepts into practice. Written by two highly qualified authors, Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing includes information on: Segment-based modeling of polymer processes; selection of thermodynamic methods; estimation of physical properties for polymer process modeling Reactor modeling, convergence tips and data-fit tool; free radical polymerization (LDPE, EVA and PS), Ziegler-Natta polymerization (HDPE, PP, LLPDE, and EPDM) and ionic polymerization (SBS rubber) Improved polymer process operability and control through steady-state and dynamic simulation models Model-predictive control of polyolefin processes and applications of multivariate statistics and machine learning to optimizing polyolefin manufacturing Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing enables readers to make full use of advanced computer models and latest data analytics and machine learning tools for optimizing polyolefin manufacturing, making it an essential resource for undergraduate and graduate students, researchers, and new and experienced engineers involved in the polyolefin industry.

Introduction to Process Control

Jose A. Romagnoli,Ahmet Palazoglu

Author : Jose A. Romagnoli,Ahmet Palazoglu
Publisher : CRC Press
Page : 712 pages
File Size : 47,6 Mb
Release : 2020-07
Category : Science
ISBN : 0429351399

Get Book

Introduction to Process Control by Jose A. Romagnoli,Ahmet Palazoglu Pdf

Introduction to Process Control, Third Edition continues to provide a bridge between traditional and modern views of process control by blending conventional topics with a broader perspective of integrated process operation, control, and information systems. Updated and expanded throughout, this third edition addresses issues highly relevant to today's teaching of process control: Discusses smart manufacturing, new data preprocessing techniques, and machine learning and artificial intelligence concepts that are part of current smart manufacturing decisions Includes extensive references to guide the reader to the resources needed to solve modeling, classification, and monitoring problems Introduces the link between process optimization and process control (optimizing control), including the effect of disturbances on the optimal plant operation, the concepts of steady-state and dynamic back-off as ways to quantify the economic benefits of control, and how to determine an optimal transition policy during a planned production change Incorporates an introduction to the modern architectures of industrial computer control systems with real case studies and applications to pilot-scale operations Analyzes the expanded role of process control in modern manufacturing, including model-centric technologies and integrated control systems Integrates data processing/reconciliation and intelligent monitoring in the overall control system architecture Drawing on the authors' combined 60 years of teaching experiences, this classroom-tested text is designed for chemical engineering students but is also suitable for industrial practitioners who need to understand key concepts of process control and how to implement them. The text offers a comprehensive pedagogical approach to reinforce learning and presents a concept first followed by an example, allowing students to grasp theoretical concepts in a practical manner and uses the same problem in each chapter, culminating in a complete control design strategy. A vast number of exercises throughout ensure readers are supported in their learning and comprehension. Downloadable MATLAB® toolboxes for process control education as well as the main simulation examples from the book offer a user-friendly software environment for interactively studying the examples in the text. These can be downloaded from the publisher's website. Solutions manual is available for qualifying professors from the publisher.

Digitalization and Analytics for Smart Plant Performance

Frank (Xin X.) Zhu

Author : Frank (Xin X.) Zhu
Publisher : John Wiley & Sons
Page : 48 pages
File Size : 42,5 Mb
Release : 2021-04-06
Category : Technology & Engineering
ISBN : 9781119634102

Get Book

Digitalization and Analytics for Smart Plant Performance by Frank (Xin X.) Zhu Pdf

This book addresses the topic of integrated digitization of plants on an objective basis and in a holistic manner by sharing data, applying analytics tools and integrating workflows via pertinent examples from industry. It begins with an evaluation of current performance management practices and an overview of the need for a "Connected Plant" via digitalization followed by sections on "Connected Assets: Improve Reliability and Utilization," "Connected Processes: Optimize Performance and Economic Margin " and "Connected People: Digitalizing the Workforce and Workflows and Developing Ownership and Digital Culture," then culminating in a final section entitled "Putting All Together Into an Intelligent Digital Twin Platform for Smart Operations and Demonstrated by Application cases."

Practical Grey-box Process Identification

Torsten P. Bohlin

Author : Torsten P. Bohlin
Publisher : Springer Science & Business Media
Page : 363 pages
File Size : 50,6 Mb
Release : 2006-09-07
Category : Technology & Engineering
ISBN : 9781846284038

Get Book

Practical Grey-box Process Identification by Torsten P. Bohlin Pdf

This book reviews the theoretical fundamentals of grey-box identification and puts the spotlight on MoCaVa, a MATLAB-compatible software tool, for facilitating the procedure of effective grey-box identification. It demonstrates the application of MoCaVa using two case studies drawn from the paper and steel industries. In addition, the book answers common questions which will help in building accurate models for systems with unknown inputs.

Integrated Process Design and Operational Optimization Via Multiparametric Programming

Baris Burnak,Nikolaos A Diangelakis,Efstratios N Pistikopoulos

Author : Baris Burnak,Nikolaos A Diangelakis,Efstratios N Pistikopoulos
Publisher : Unknown
Page : 258 pages
File Size : 42,5 Mb
Release : 2020-09-04
Category : Electronic
ISBN : 1681739542

Get Book

Integrated Process Design and Operational Optimization Via Multiparametric Programming by Baris Burnak,Nikolaos A Diangelakis,Efstratios N Pistikopoulos Pdf

This book presents a comprehensive optimization-based theory and framework that exploits the synergistic interactions and tradeoffs between process design and operational decisions that span different time scales. Conventional methods in the process industry often isolate decision making mechanisms with a hierarchical information flow to achieve tractable problems, risking suboptimal, even infeasible operations. In this book, foundations of a systematic model-based strategy for simultaneous process design, scheduling, and control optimization is detailed to achieve reduced cost and improved energy consumption in process systems. The material covered in this book is well suited for the use of industrial practitioners, academics, and researchers. In Chapter 1, a historical perspective on the milestones in model-based design optimization techniques is presented along with an overview of the state-of-the-art mathematical tools to solve the resulting complex problems. Chapters 2 and 3 discuss two fundamental concepts that are essential for the reader. These concepts are (i) mixed integer dynamic optimization problems and two algorithms to solve this class of optimization problems, and (ii) developing a model based multiparametric programming model predictive control. These tools are used to systematically evaluate the tradeoffs between different time-scale decisions based on a single high-fidelity model, as demonstrated on (i) design and control, (ii) scheduling and control, and (iii) design, scheduling, and control problems. We present illustrative examples on chemical processing units, including continuous stirred tank reactors, distillation columns, and combined heat and power regeneration units, along with discussions of other relevant work in the literature for each class of problems.

Multivariable Predictive Control

Sandip K. Lahiri

Author : Sandip K. Lahiri
Publisher : John Wiley & Sons
Page : 309 pages
File Size : 50,7 Mb
Release : 2017-10-23
Category : Technology & Engineering
ISBN : 9781119243601

Get Book

Multivariable Predictive Control by Sandip K. Lahiri Pdf

A guide to all practical aspects of building, implementing, managing, and maintaining MPC applications in industrial plants Multivariable Predictive Control: Applications in Industry provides engineers with a thorough understanding of all practical aspects of multivariate predictive control (MPC) applications, as well as expert guidance on how to derive maximum benefit from those systems. Short on theory and long on step-by-step information, it covers everything plant process engineers and control engineers need to know about building, deploying, and managing MPC applications in their companies. MPC has more than proven itself to be one the most important tools for optimising plant operations on an ongoing basis. Companies, worldwide, across a range of industries are successfully using MPC systems to optimise materials and utility consumption, reduce waste, minimise pollution, and maximise production. Unfortunately, due in part to the lack of practical references, plant engineers are often at a loss as to how to manage and maintain MPC systems once the applications have been installed and the consultants and vendors’ reps have left the plant. Written by a chemical engineer with two decades of experience in operations and technical services at petrochemical companies, this book fills that regrettable gap in the professional literature. Provides a cost-benefit analysis of typical MPC projects and reviews commercially available MPC software packages Details software implementation steps, as well as techniques for successfully evaluating and monitoring software performance once it has been installed Features case studies and real-world examples from industries, worldwide, illustrating the advantages and common pitfalls of MPC systems Describes MPC application failures in an array of companies, exposes the root causes of those failures, and offers proven safeguards and corrective measures for avoiding similar failures Multivariable Predictive Control: Applications in Industry is an indispensable resource for plant process engineers and control engineers working in chemical plants, petrochemical companies, and oil refineries in which MPC systems already are operational, or where MPC implementations are being considering.

Profit Maximization Techniques for Operating Chemical Plants

Sandip K. Lahiri

Author : Sandip K. Lahiri
Publisher : John Wiley & Sons
Page : 432 pages
File Size : 45,8 Mb
Release : 2020-05-01
Category : Technology & Engineering
ISBN : 9781119532170

Get Book

Profit Maximization Techniques for Operating Chemical Plants by Sandip K. Lahiri Pdf

A systematic approach to profit optimization utilizing strategic solutions and methodologies for the chemical process industry In the ongoing battle to reduce the cost of production and increase profit margin within the chemical process industry, leaders are searching for new ways to deploy profit optimization strategies. Profit Maximization Techniques For Operating Chemical Plants defines strategic planning and implementation techniques for managers, senior executives, and technical service consultants to help increase profit margins. The book provides in-depth insight and practical tools to help readers find new and unique opportunities to implement profit optimization strategies. From identifying where the large profit improvement projects are to increasing plant capacity and pushing plant operations towards multiple constraints while maintaining continuous improvements—there is a plethora of information to help keep plant operations on budget. The book also includes information on: ● Take away methods and techniques for identifying and exploiting potential areas to improve profit within the plant ● Focus on latest Artificial Intelligence based modeling, knowledge discovery and optimization strategies to maximize profit in running plant. ● Describes procedure to develop advance process monitoring and fault diagnosis in running plant ● Thoughts on engineering design , best practices and monitoring to sustain profit improvements ● Step-by-step guides to identifying, building, and deploying improvement applications For leaders and technologists in the industry who want to maximize profit margins, this text provides basic concepts, guidelines, and step-by-step guides specifically for the chemical plant sector.

Refinery Engineering

Ai-Fu Chang,Kiran Pashikanti,Y. A. Liu

Author : Ai-Fu Chang,Kiran Pashikanti,Y. A. Liu
Publisher : John Wiley & Sons
Page : 521 pages
File Size : 40,5 Mb
Release : 2013-03-01
Category : Technology & Engineering
ISBN : 9783527666850

Get Book

Refinery Engineering by Ai-Fu Chang,Kiran Pashikanti,Y. A. Liu Pdf

A pioneering and comprehensive introduction to the complex subject of integrated refinery process simulation, using many of the tools and techniques currently employed in modern refineries. Adopting a systematic and practical approach, the authors include the theory, case studies and hands-on workshops, explaining how to work with real data. As a result, senior-level undergraduate and graduate students, as well as industrial engineers learn how to develop and use the latest computer models for the predictive modeling and optimization of integrated refinery processes. Additional material is available online providing relevant spreadsheets and simulation files for all the models and examples presented in the book.

Innovative Biosystems Engineering for Sustainable Agriculture, Forestry and Food Production

Antonio Coppola,Giovanni Carlo Di Renzo,Giuseppe Altieri,Paola D'Antonio

Author : Antonio Coppola,Giovanni Carlo Di Renzo,Giuseppe Altieri,Paola D'Antonio
Publisher : Springer Nature
Page : 860 pages
File Size : 44,5 Mb
Release : 2020-03-19
Category : Science
ISBN : 9783030392994

Get Book

Innovative Biosystems Engineering for Sustainable Agriculture, Forestry and Food Production by Antonio Coppola,Giovanni Carlo Di Renzo,Giuseppe Altieri,Paola D'Antonio Pdf

This book gathers the latest advances, innovations, and applications in the field of innovative biosystems engineering for sustainable agriculture, forestry and food production. Focusing on the challenges of implementing sustainability in various contexts in the fields of biosystems engineering, it shows how the research has addressed the sustainable use of renewable and non-renewable resources. It also presents possible solutions to help achieve sustainable production. The Mid-Term Conference of the Italian Association of Agricultural Engineering (AIIA) is part of a series of conferences, seminars and meetings that the AIIA organizes, together with other public and private stakeholders, to promote the creation and dissemination of new knowledge in the sector. The contributions included in the book were selected by means of a rigorous peer-review process, and offer an extensive and multidisciplinary overview of interesting solutions in the field of innovative biosystems engineering for sustainable agriculture.

Fault Detection and Diagnosis in Industrial Systems

L.H. Chiang,E.L. Russell,R.D. Braatz

Author : L.H. Chiang,E.L. Russell,R.D. Braatz
Publisher : Springer Science & Business Media
Page : 281 pages
File Size : 49,8 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781447103479

Get Book

Fault Detection and Diagnosis in Industrial Systems by L.H. Chiang,E.L. Russell,R.D. Braatz Pdf

Early and accurate fault detection and diagnosis for modern chemical plants can minimize downtime, increase the safety of plant operations, and reduce manufacturing costs. This book presents the theoretical background and practical techniques for data-driven process monitoring. It demonstrates the application of all the data-driven process monitoring techniques to the Tennessee Eastman plant simulator, and looks at the strengths and weaknesses of each approach in detail. A plant simulator and problems allow readers to apply process monitoring techniques.

Hybrid Modeling in Process Industries

Jarka Glassey,Moritz von Stosch

Author : Jarka Glassey,Moritz von Stosch
Publisher : CRC Press
Page : 183 pages
File Size : 48,8 Mb
Release : 2018-02-01
Category : Science
ISBN : 9781351184359

Get Book

Hybrid Modeling in Process Industries by Jarka Glassey,Moritz von Stosch Pdf

This title introduces the underlying theory and demonstrates practical applications in different process industries using hybrid modeling. It reviews hybrid modeling approach applicability in wide range of process industries, recommends how to increase hybrid model performance and throw Insights into cost efficient practices in modeling techniques Discusses advance process operation maximizing the benefits of available process knowledge and Includes real-life and practical case studies

Proceedings of the 6th International Conference and Exhibition on Sustainable Energy and Advanced Materials

Ubaidillah Sabino,Fitrian Imaduddin,Aditya Rio Prabowo

Author : Ubaidillah Sabino,Fitrian Imaduddin,Aditya Rio Prabowo
Publisher : Springer Nature
Page : 813 pages
File Size : 42,5 Mb
Release : 2020-06-01
Category : Technology & Engineering
ISBN : 9789811544811

Get Book

Proceedings of the 6th International Conference and Exhibition on Sustainable Energy and Advanced Materials by Ubaidillah Sabino,Fitrian Imaduddin,Aditya Rio Prabowo Pdf

This book gathers the proceedings of the 6th International Conference and Exhibition on Sustainable Energy and Advanced Materials (ICE-SEAM 2019), held on 16–17 October 2019 in Surakarta, Indonesia. It focuses on two relatively broad areas – advanced materials and sustainable energy – and a diverse range of subtopics: Advanced Materials and Related Technologies: Liquid Crystals, Semiconductors, Superconductors, Optics, Lasers, Sensors, Mesoporous Materials, Nanomaterials, Smart Ferrous Materials, Amorphous Materials, Crystalline Materials, Biomaterials, Metamaterials, Composites, Polymers, Design, Analysis, Development, Manufacturing, Processing and Testing for Advanced Materials. Sustainable Energy and Related Technologies: Energy Management, Storage, Conservation, Industrial Energy Efficiency, Energy-Efficient Buildings, Energy-Efficient Traffic Systems, Energy Distribution, Energy Modeling, Hybrid and Integrated Energy Systems, Fossil Energy, Nuclear Energy, Bioenergy, Biogas, Biomass Geothermal Power, Non-Fossil Energies, Wind Energy, Hydropower, Solar Photovoltaic, Fuel Cells, Electrification, and Electrical Power Systems and Controls.

Industrial Biotechnology

Christoph Wittmann,James C. Liao

Author : Christoph Wittmann,James C. Liao
Publisher : John Wiley & Sons
Page : 642 pages
File Size : 52,7 Mb
Release : 2017-03-06
Category : Science
ISBN : 9783527341818

Get Book

Industrial Biotechnology by Christoph Wittmann,James C. Liao Pdf

The latest volume in the Advanced Biotechnology series provides an overview of the main product classes and platform chemicals produced by biotechnological processes today, with applications in the food, healthcare and fine chemical industries. Alongside the production of drugs and flavors as well as amino acids, bio-based monomers and polymers and biofuels, basic insights are also given as to the biotechnological processes yielding such products and how large-scale production may be enabled and improved. Of interest to biotechnologists, bio and chemical engineers, as well as those working in the biotechnological, chemical, and food industries.

Integrated Process Modeling Advanced Control And Data Analytics For Optimizing Polyolefin Manufacturing 2 Volume Set

Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing, 2 Volume Set by Y. A. Liu,Niket Sharma Pdf

Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing by Yih An Liu,Niket Sharma Pdf

Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing by Y. A. Liu,Niket Sharma Pdf

Introduction to Process Control by Jose A. Romagnoli,Ahmet Palazoglu Pdf

Digitalization and Analytics for Smart Plant Performance by Frank (Xin X.) Zhu Pdf

Practical Grey-box Process Identification by Torsten P. Bohlin Pdf

Integrated Process Design and Operational Optimization Via Multiparametric Programming by Baris Burnak,Nikolaos A Diangelakis,Efstratios N Pistikopoulos Pdf

Multivariable Predictive Control by Sandip K. Lahiri Pdf

Profit Maximization Techniques for Operating Chemical Plants by Sandip K. Lahiri Pdf

Refinery Engineering by Ai-Fu Chang,Kiran Pashikanti,Y. A. Liu Pdf

Innovative Biosystems Engineering for Sustainable Agriculture, Forestry and Food Production by Antonio Coppola,Giovanni Carlo Di Renzo,Giuseppe Altieri,Paola D'Antonio Pdf

Fault Detection and Diagnosis in Industrial Systems by L.H. Chiang,E.L. Russell,R.D. Braatz Pdf

Hybrid Modeling in Process Industries by Jarka Glassey,Moritz von Stosch Pdf

Proceedings of the 6th International Conference and Exhibition on Sustainable Energy and Advanced Materials by Ubaidillah Sabino,Fitrian Imaduddin,Aditya Rio Prabowo Pdf

Industrial Biotechnology by Christoph Wittmann,James C. Liao Pdf

Recent Posts