Simulation and Optimization in Process Engineering: The Benefit of Mathematical Methods in Applications of the Chemical Industry, Bortz Michael, Asprion Norbert
Автор: Dominic Foo Название: Chemical engineering process simulation ISBN: 0323901689 ISBN-13(EAN): 9780323901680 Издательство: Elsevier Science Рейтинг: Цена: 154960.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 145 miles of lush, ever-green walking in North East Wales: featuring fourteen routes within the Clwydian Range and Dee Valley Area of Outstanding Natural Beauty, embracing the Clwydian and Berwyn Hills and Llantysilio Mountain; three walks on the North Wales coast between Great Orme and Point of Ayr; eleven rambles to the east of the River Conwy.
Автор: Inamuddin; Rajender Boddula; Abdullah M Asiri Название: Green Sustainable Process For Chemical And Environmental Engineering And Science ISBN: 0128218851 ISBN-13(EAN): 9780128218853 Издательство: Elsevier Science Рейтинг: Цена: 202120.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Green Sustainable Process for Chemical and Environmental Engineering and Science: Solvents for the Pharmaceutical Industry aims at providing a detailed overview of applications of green solvents in pharmaceutical industries. It also focuses on providing a detailed literature survey on the green solvents for pharmaceutical analysis, drug design, synthesis, and production, etc. It summarizes the applications of various greens solvents such as water, cyrene, vegetable oils, ionic liquids, ethyl lactate, eutectic solvents, and glycerol in contrast to toxic solvents. This book provides an overview of the use of green solvents for the sustainable and environmentally friendly development of synthetic methodologies for biomedical and pharmaceutical industries.
Автор: Baris Burnak, Efstratios N. Pistikopoulos, Nikolaos A. Diangelakis Название: Integrated Process Design and Operational Optimization via Multiparametric Programming ISBN: 1681739542 ISBN-13(EAN): 9781681739540 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 75770.00 T Наличие на складе: Нет в наличии. Описание: 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.
Автор: Baris Burnak, Efstratios N. Pistikopoulos, Nikolaos A. Diangelakis Название: Integrated Process Design and Operational Optimization via Multiparametric Programming ISBN: 1681739569 ISBN-13(EAN): 9781681739564 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 95170.00 T Наличие на складе: Нет в наличии. Описание: 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.
Автор: Chang, Ai-Fu Название: Refinery Engineering ISBN: 3527333576 ISBN-13(EAN): 9783527333578 Издательство: Wiley Рейтинг: Цена: 105600.00 T Наличие на складе: Поставка под заказ. Описание: 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.
Автор: Maravelias Christos T. Название: Chemical Production Scheduling ISBN: 1107154758 ISBN-13(EAN): 9781107154759 Издательство: Cambridge Academ Рейтинг: Цена: 82370.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Understand common scheduling as well as other advanced operational problems with this valuable reference from a recognized leader in the field. Addressing a wide range of problems arising in diverse industrial sectors, this is a perfect resource for students and seasoned researchers and practitioners alike.
Автор: Dutta Binay Kanti Название: Mathematical Methods in Chemical and Biological Engineering ISBN: 036773673X ISBN-13(EAN): 9780367736736 Издательство: Taylor&Francis Рейтинг: Цена: 50010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book describes basic to moderately advanced mathematical techniques useful for shaping the model-based analysis of chemical and biological engineering systems. Covering an ideal balance of basic mathematical principles and applications to physico-chemical problems, the text presents examples drawn from recent literature on chemical engineer
Автор: Kravaris, Costas (texas A & M University) Kookos, Ioannis K. (university Of Patras, Greece) Название: Understanding process dynamics and control ISBN: 1107035589 ISBN-13(EAN): 9781107035584 Издательство: Cambridge Academ Рейтинг: Цена: 104550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A fresh look to a traditional course in chemical engineering for modern industry. Extensive use of MATLAB (R) and MAPLE supported numerous solved examples and over 240 problems. A valuable resource as a textbook or for self-study, it offers in-depth analysis of the underlying theory.
Автор: Grossmann, Ignacio E. (carnegie Mellon University, Pennsylvania) Название: Advanced optimization for process systems engineering ISBN: 1108831656 ISBN-13(EAN): 9781108831659 Издательство: Cambridge Academ Рейтинг: Цена: 82370.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A unique text covering basic and advanced concepts of optimization theory and methods for process systems engineers. With examples illustrating key concepts and algorithms, and exercises involving theoretical derivations, numerical problems and modeling systems, it is ideal for single-semester, graduate courses in process systems engineering.
Stochastic global optimization methods and applications to chemical, biochemical, pharmaceutical and environmental processes presents various algorithms that include the genetic algorithm, simulated annealing, differential evolution, ant colony optimization, tabu search, particle swarm optimization, artificial bee colony optimization, and cuckoo search algorithm. The design and analysis of these algorithms is studied by applying them to solve various base case and complex optimization problems concerning chemical, biochemical, pharmaceutical, and environmental engineering processes.
Design and implementation of various classical and advanced optimization strategies to solve a wide variety of optimization problems makes this book beneficial to graduate students, researchers, and practicing engineers working in multiple domains. This book mainly focuses on stochastic, evolutionary, and artificial intelligence optimization algorithms with a special emphasis on their design, analysis, and implementation to solve complex optimization problems and includes a number of real applications concerning chemical, biochemical, pharmaceutical, and environmental engineering processes.
Focusing on the application of mathematics to chemical engineering, Applied Mathematical Methods for Chemical Engineers addresses the setup and verification of mathematical models using experimental or other independently derived data. The book provides an introduction to differential equations common to chemical engineering, followed by examples of first-order and linear second-order ordinary differential equations. Later chapters examine Sturm-Liouville problems, Fourier series, integrals, linear partial differential equations, regular perturbation, combination of variables, and numerical methods emphasizing the method of lines with MATLAB(R) programming examples.
Fully revised and updated, this Third Edition
Includes additional examples related to process control, Bessel Functions, and contemporary areas such as drug delivery
Introduces examples of variable coefficient Sturm-Liouville problems both in the regular and singular types
Demonstrates the use of Euler and modified Euler methods alongside the Runge-Kutta order-four method
Inserts more depth on specific applications such as nonhomogeneous cases of separation of variables
Adds a section on special types of matrices such as upper- and lower-triangular matrices
Presents a justification for Fourier-Bessel series in preference to a complicated proof
Incorporates examples related to biomedical engineering applications
Illustrates the use of the predictor-corrector method
Expands the problem sets of numerous chapters
Applied Mathematical Methods for Chemical Engineers, Third Edition uses worked examples to expose several mathematical methods that are essential to solving real-world process engineering problems.
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