Gade Pandu Rangaiah – författare

The use of control systems is necessary for safe and optimal operation of industrial processes in the presence of inevitable disturbances and uncertainties. Plant-wide control (PWC) involves the systems and strategies required to control an entire chemical plant consisting of many interacting unit operations. Over the past 30 years, many tools and methodologies have been developed to accommodate increasingly larger and more complex plants. This book provides a state-of-the-art of techniques for the design and evaluation of PWC systems. Various applications taken from chemical, petrochemical, biofuels and mineral processing industries are used to illustrate the use of these approaches. This book contains 20 chapters organized in the following sections: Overview and Industrial Perspective Tools and Heuristics Methodologies Applications Emerging Topics With contributions from the leading researchers and industrial practitioners on PWC design, this book is key reading for researchers, postgraduate students, and process control engineers interested in PWC.

This textbook for advanced undergraduate and graduate students provides a clear and practical guide to the principles and methods for structuring and solving complex problems that include multiple, often conflicting criteria.The book introduces the foundations of multi-criteria decision-making (MCDM) and its relationship with complementary approaches such as multi-objective optimization and goal programming. It then presents three major MCDM methods: reference-type methods such as TOPSIS, aggregation-type methods such as AHP, and outranking-type methods such as ELECTRE. Each method is explained with numerical examples, and strengths and limitations discussed. Preprocessing techniques are also covered. The book highlights user-friendly software tools, including Microsoft Excel-based programs and open-source Python libraries. End-of-chapter exercises are also provided to ensure that readers can consolidate their knowledge and apply this to real-world applications.This textbook is vital for advanced undergraduate and graduate students taking decision science and optimization courses in disciplines such as engineering, business, finance, and management. Its focus on recent methods and developments will ensure that students are well prepared for employment in their field or for further research alike.

This textbook for advanced undergraduate and graduate students provides a clear and practical guide to the principles and methods for structuring and solving complex problems that include multiple, often conflicting criteria.The book introduces the foundations of multi-criteria decision-making (MCDM) and its relationship with complementary approaches such as multi-objective optimization and goal programming. It then presents three major MCDM methods: reference-type methods such as TOPSIS, aggregation-type methods such as AHP, and outranking-type methods such as ELECTRE. Each method is explained with numerical examples, and strengths and limitations discussed. Preprocessing techniques are also covered. The book highlights user-friendly software tools, including Microsoft Excel-based programs and open-source Python libraries. End-of-chapter exercises are also provided to ensure that readers can consolidate their knowledge and apply this to real-world applications.This textbook is vital for advanced undergraduate and graduate students taking decision science and optimization courses in disciplines such as engineering, business, finance, and management. Its focus on recent methods and developments will ensure that students are well prepared for employment in their field or for further research alike.

This textbook for advanced undergraduate and graduate students provides a clear and practical guide to the principles and methods for structuring and solving complex problems that include multiple, often conflicting criteria.The book introduces the foundations of multi-criteria decision-making (MCDM) and its relationship with complementary approaches such as multi-objective optimization and goal programming. It then presents three major MCDM methods: reference-type methods such as TOPSIS, aggregation-type methods such as AHP, and outranking-type methods such as ELECTRE. Each method is explained with numerical examples, and strengths and limitations discussed. Preprocessing techniques are also covered. The book highlights user-friendly software tools, including Microsoft Excel-based programs and open-source Python libraries. End-of-chapter exercises are also provided to ensure that readers can consolidate their knowledge and apply this to real-world applications.This textbook is vital for advanced undergraduate and graduate students taking decision science and optimization courses in disciplines such as engineering, business, finance, and management. Its focus on recent methods and developments will ensure that students are well prepared for employment in their field or for further research alike.

For reasons both financial and environmental, there is a perpetual need to optimize the design and operating conditions of industrial process systems in order to improve their performance, energy efficiency, profitability, safety and reliability. However, with most chemical engineering application problems having many variables with complex inter-relationships, meeting these optimization objectives can be challenging. This is where Multi-Objective Optimization (MOO) is useful to find the optimal trade-offs among two or more conflicting objectives.

This book provides an overview of the recent developments and applications of MOO for modeling, design and operation of chemical, petrochemical, pharmaceutical, energy and related processes. It then covers important theoretical and computational developments as well as specific applications such as metabolic reaction networks, chromatographic systems, CO2 emissions targeting for petroleum refining units, ecodesign of chemical processes, ethanol purification and cumene process design.

Multi-Objective Optimization in Chemical Engineering: Developments and Applications is an invaluable resource for researchers and graduate students in chemical engineering as well as industrial practitioners and engineers involved in process design, modeling and optimization.

For reasons both financial and environmental, there is a perpetual need to optimize the design and operating conditions of industrial process systems in order to improve their performance, energy efficiency, profitability, safety and reliability. However, with most chemical engineering application problems having many variables with complex inter-relationships, meeting these optimization objectives can be challenging. This is where Multi-Objective Optimization (MOO) is useful to find the optimal trade-offs among two or more conflicting objectives.

This book provides an overview of the recent developments and applications of MOO for modeling, design and operation of chemical, petrochemical, pharmaceutical, energy and related processes. It then covers important theoretical and computational developments as well as specific applications such as metabolic reaction networks, chromatographic systems, CO2 emissions targeting for petroleum refining units, ecodesign of chemical processes, ethanol purification and cumene process design.

Multi-Objective Optimization in Chemical Engineering: Developments and Applications is an invaluable resource for researchers and graduate students in chemical engineering as well as industrial practitioners and engineers involved in process design, modeling and optimization.

The proposed book will be divided into three parts. The chapters in Part I provide an overview of certain aspect of process retrofitting. The focus of Part II is on computational techniques for solving process retrofit problems. Finally, Part III addresses  retrofit applications from diverse process industries.

Some chapters in the book are contributed by practitioners whereas others are from academia. Hence, the book includes both new developments from research and also practical considerations. Many chapters include examples with realistic data. All these feature make the book useful to industrial engineers, researchers and students.

The proposed book will be divided into three parts. The chapters in Part I provide an overview of certain aspect of process retrofitting. The focus of Part II is on computational techniques for solving process retrofit problems. Finally, Part III addresses  retrofit applications from diverse process industries.

Some chapters in the book are contributed by practitioners whereas others are from academia. Hence, the book includes both new developments from research and also practical considerations. Many chapters include examples with realistic data. All these feature make the book useful to industrial engineers, researchers and students.

The proposed book will be divided into three parts. The chapters in Part I provide an overview of certain aspect of process retrofitting. The focus of Part II is on computational techniques for solving process retrofit problems. Finally, Part III addresses  retrofit applications from diverse process industries. Some chapters in the book are contributed by practitioners whereas others are from academia. Hence, the book includes both new developments from research and also practical considerations. Many chapters include examples with realistic data. All these feature make the book useful to industrial engineers, researchers and students.

A comprehensive overview of current developments and applications in biofuels productionProcess Systems Engineering for Biofuels Development brings together the latest and most cutting-edge research on the production of biofuels. As the first book specifically devoted to process systems engineering for the production of biofuels, Process Systems Engineering for Biofuels Development covers theoretical, computational and experimental issues in biofuels process engineering.Written for researchers and postgraduate students working on biomass conversion and sustainable process design, as well as industrial practitioners and engineers involved in process design, modeling and optimization, this book is an indispensable guide to the newest developments in areas including: Enzyme-catalyzed biodiesel productionProcess analysis of biodiesel production (including kinetic modeling, simulation and optimization)The use of ultrasonification in biodiesel productionThermochemical processes for biomass transformation to biofuelsProduction of alternative biofuelsIn addition to the comprehensive overview of the subject of biofuels found in the Introduction of the book, the authors of various chapters have provided extensive discussions of the production and separation of biofuels via novel applications and techniques.

A comprehensive overview of current developments and applications in biofuels production

Process Systems Engineering for Biofuels Development brings together the latest and most cutting-edge research on the production of biofuels. As the first book specifically devoted to process systems engineering for the production of biofuels, Process Systems Engineering for Biofuels Development covers theoretical, computational and experimental issues in biofuels process engineering.

Written for researchers and postgraduate students working on biomass conversion and sustainable process design, as well as industrial practitioners and engineers involved in process design, modeling and optimization, this book is an indispensable guide to the newest developments in areas including:

Enzyme-catalyzed biodiesel production Process analysis of biodiesel production (including kinetic modeling, simulation and optimization) The use of ultrasonification in biodiesel production Thermochemical processes for biomass transformation to biofuels Production of alternative biofuels

In addition to the comprehensive overview of the subject of biofuels found in the Introduction of the book, the authors of various chapters have provided extensive discussions of the production and separation of biofuels via novel applications and techniques.

A comprehensive overview of current developments and applications in biofuels production

Process Systems Engineering for Biofuels Development brings together the latest and most cutting-edge research on the production of biofuels. As the first book specifically devoted to process systems engineering for the production of biofuels, Process Systems Engineering for Biofuels Development covers theoretical, computational and experimental issues in biofuels process engineering.

Written for researchers and postgraduate students working on biomass conversion and sustainable process design, as well as industrial practitioners and engineers involved in process design, modeling and optimization, this book is an indispensable guide to the newest developments in areas including:

Enzyme-catalyzed biodiesel production Process analysis of biodiesel production (including kinetic modeling, simulation and optimization) The use of ultrasonification in biodiesel production Thermochemical processes for biomass transformation to biofuels Production of alternative biofuels

In addition to the comprehensive overview of the subject of biofuels found in the Introduction of the book, the authors of various chapters have provided extensive discussions of the production and separation of biofuels via novel applications and techniques.

The use of control systems is necessary for safe and optimal operation of industrial processes in the presence of inevitable disturbances and uncertainties. Plant-wide control (PWC) involves the systems and strategies required to control an entire chemical plant consisting of many interacting unit operations. Over the past 30 years, many tools and methodologies have been developed to accommodate increasingly larger and more complex plants.

This book provides a state-of-the-art of techniques for the design and evaluation of PWC systems. Various applications taken from chemical, petrochemical, biofuels and mineral processing industries are used to illustrate the use of these approaches. This book contains 20 chapters organized in the following sections:

Overview and Industrial Perspective Tools and Heuristics Methodologies Applications Emerging Topics

With contributions from the leading researchers and industrial practitioners on PWC design, this book is key reading for researchers, postgraduate students, and process control engineers interested in PWC.

The use of control systems is necessary for safe and optimal operation of industrial processes in the presence of inevitable disturbances and uncertainties. Plant-wide control (PWC) involves the systems and strategies required to control an entire chemical plant consisting of many interacting unit operations. Over the past 30 years, many tools and methodologies have been developed to accommodate increasingly larger and more complex plants.

This book provides a state-of-the-art of techniques for the design and evaluation of PWC systems. Various applications taken from chemical, petrochemical, biofuels and mineral processing industries are used to illustrate the use of these approaches. This book contains 20 chapters organized in the following sections:

Overview and Industrial Perspective Tools and Heuristics Methodologies Applications Emerging Topics

With contributions from the leading researchers and industrial practitioners on PWC design, this book is key reading for researchers, postgraduate students, and process control engineers interested in PWC.

Resource on the control and safety analysis of intensified chemical processes, ranging from general methods to specific applications Control and Safety Analysis of Intensified Chemical Processes covers the basic principles of and recent developments in control and safety analysis of intensified chemical processes, ranging from dynamic simulations and safety analysis to the design and control of important processes. The text discusses general methods and tools such as dynamic simulation, control and safety analysis as well as design aspects and analysis of important applications in order to provide scientists and engineers with an understanding of the design, control and safety considerations involved in intensified chemical processes. Sample topics covered in Control and Safety Analysis of Intensified Chemical Processes include: Simulation and optimization methods, common programs and simulators for simulation and optimization, and interfacing of simulators and optimizersPrograms/simulators for dynamic simulation and control, tuning of controllers, and popular criteria for control assessmentControl of a hybrid reactive-extractive distillation systems for ternary azeotropic mixtures, reactive distillation in recycle systems, and middle vessel batch distillation with vapor recompressionSafety analysis of intensified processes (e.g. extractive distillation, dividing wall column, dividing wall column with mechanical vapor recompression, and algal biodiesel process)A comprehensive resource on the subject, Control and Safety Analysis of Intensified Chemical Processes is a highly valuable reference for researchers, students and practitioners interested in process intensification and their applications. The text can be adopted by instructors for use in advanced courses on process control and safety.

Resource on the control and safety analysis of intensified chemical processes, ranging from general methods to specific applications

Control and Safety Analysis of Intensified Chemical Processes covers the basic principles of and recent developments in control and safety analysis of intensified chemical processes, ranging from dynamic simulations and safety analysis to the design and control of important processes. The text discusses general methods and tools such as dynamic simulation, control and safety analysis as well as design aspects and analysis of important applications in order to provide scientists and engineers with an understanding of the design, control and safety considerations involved in intensified chemical processes.

Sample topics covered in Control and Safety Analysis of Intensified Chemical Processes include:

Simulation and optimization methods, common programs and simulators for simulation and optimization, and interfacing of simulators and optimizers Programs/simulators for dynamic simulation and control, tuning of controllers, and popular criteria for control assessment Control of a hybrid reactive-extractive distillation systems for ternary azeotropic mixtures, reactive distillation in recycle systems, and middle vessel batch distillation with vapor recompression Safety analysis of intensified processes (e.g. extractive distillation, dividing wall column, dividing wall column with mechanical vapor recompression, and algal biodiesel process)

A comprehensive resource on the subject, Control and Safety Analysis of Intensified Chemical Processes is a highly valuable reference for researchers, students and practitioners interested in process intensification and their applications. The text can be adopted by instructors for use in advanced courses on process control and safety.

Resource on the control and safety analysis of intensified chemical processes, ranging from general methods to specific applications

Control and Safety Analysis of Intensified Chemical Processes covers the basic principles of and recent developments in control and safety analysis of intensified chemical processes, ranging from dynamic simulations and safety analysis to the design and control of important processes. The text discusses general methods and tools such as dynamic simulation, control and safety analysis as well as design aspects and analysis of important applications in order to provide scientists and engineers with an understanding of the design, control and safety considerations involved in intensified chemical processes.

Sample topics covered in Control and Safety Analysis of Intensified Chemical Processes include:

Simulation and optimization methods, common programs and simulators for simulation and optimization, and interfacing of simulators and optimizers Programs/simulators for dynamic simulation and control, tuning of controllers, and popular criteria for control assessment Control of a hybrid reactive-extractive distillation systems for ternary azeotropic mixtures, reactive distillation in recycle systems, and middle vessel batch distillation with vapor recompression Safety analysis of intensified processes (e.g. extractive distillation, dividing wall column, dividing wall column with mechanical vapor recompression, and algal biodiesel process)

A comprehensive resource on the subject, Control and Safety Analysis of Intensified Chemical Processes is a highly valuable reference for researchers, students and practitioners interested in process intensification and their applications. The text can be adopted by instructors for use in advanced courses on process control and safety.

This book presents a comprehensive coverage of fundamentals, latest technologies and industrial applications of Waste Heat Recovery (WHR) in process industries. Simple and effective WHR techniques are illustrated with industrial examples, to help readers to identify, calculate and develop heat recovery potential in their processes. Key benefits of WHR projects, which are useful for developing successful WHR business cases, are demonstrated. Special emphasis is given towards major technical risks and mitigation plans, for implementing sound WHR projects. Techniques for reaping benefits of WHR projects for longer periods are also outlined. Applying these techniques with an understanding of the principles explained in this book, and taking cues from the examples and suggestions, the reader will be able to realise sustained benefits in their process.Solution manual is provided for free to instructors who adopt this textbook. Please send your request to sales@wspc.com.

Optimization is now essential in the design, planning and operation of chemical and related processes. Although process optimization for multiple objectives was studied in the 1970s and 1980s, it has attracted active research in the last 15 years, spurred by the new and effective techniques for multi-objective optimization (MOO). To capture this renewed interest, this monograph presents recent research in MOO techniques and applications in chemical engineering.Following a brief introduction and review of MOO applications in chemical engineering since 2000, the book presents selected MOO techniques and many chemical engineering applications in detail. In this second edition, several chapters from the first edition have been updated, one chapter is completely revised and three new chapters have been added. One of the new chapters describes three MS Excel programs useful for MOO of application problems. All the chapters will be of interest to researchers in MOO and/or chemical engineering. Several exercises are included at the end of many chapters, for use by both practicing engineers and students.

Optimization plays a key role in the design, planning and operation of chemical and related processes for several decades. Techniques for solving optimization problems are of deterministic or stochastic type. Of these, stochastic techniques can solve any type of optimization problems and can be adapted for multiple objectives. Differential evolution (DE), proposed about two decades ago, is one of the stochastic techniques. Its algorithm is simple to understand and use. DE has found many applications in chemical engineering.This unique compendium focuses on DE, its recent developments and applications in chemical engineering. It will cover both single and multi-objective optimization. The book contains a number of chapters from experienced editors, and also several chapters from active researchers in this area.

Optimization has played a key role in the design, planning and operation of chemical and related processes, for several decades. Global optimization has been receiving considerable attention in the past two decades. Of the two types of techniques for global optimization, stochastic global optimization is applicable to any type of problems having non-differentiable functions, discrete variables and/or continuous variables. It, thus, shows significant promise and potential for process optimization.So far, there are no books focusing on stochastic global optimization and its applications in chemical engineering. Stochastic Global Optimization — a monograph with contributions by leading researchers in the area — bridges the gap in this subject, with the aim of highlighting and popularizing stochastic global optimization techniques for chemical engineering applications. The book, with 19 chapters in all, is broadly categorized into two sections that extensively cover the techniques and the chemical engineering applications.