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Integrated Process Design and Operational Optimization via Multiparametric Programming, Baris Burnak, Efstratios N. Pistikopoulos, Nikolaos A. Diangelakis


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Автор: Baris Burnak, Efstratios N. Pistikopoulos, Nikolaos A. Diangelakis
Название:  Integrated Process Design and Operational Optimization via Multiparametric Programming
ISBN: 9781681739540
Издательство: Mare Nostrum (Eurospan)
Классификация:





ISBN-10: 1681739542
Обложка/Формат: Paperback
Страницы: 258
Вес: 0.45 кг.
Дата издания: 30.11.2020
Серия: Synthesis lectures on engineering, science, and technology
Язык: English
Размер: 23.50 x 19.05 x 1.40 cm
Читательская аудитория: Professional and scholarly
Ключевые слова: Chemical engineering,Computer programming / software development,Technology: general issues, COMPUTERS / Programming / General,TECHNOLOGY & ENGINEERING / Chemical & Biochemical,TECHNOLOGY & ENGINEERING / Operations Research
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Поставляется из: Англии
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.



Integrated Process Design and Operational Optimization via Multiparametric Programming

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: 14276.00 р.
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.

Optimization Models

Автор: Calafiore
Название: Optimization Models
ISBN: 1107050871 ISBN-13(EAN): 9781107050877
Издательство: Cambridge Academ
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Цена: 10454.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Emphasizing practical understanding over the technicalities of specific algorithms, this elegant textbook teaches students how to recognize, simplify, model and solve optimization problems - and apply these basic principles to their own projects. Accompanied by an online solution manual, accessible only to instructors.

Nonlinear Programming: An Introduction

Автор: Peter Zornig
Название: Nonlinear Programming: An Introduction
ISBN: 3110315270 ISBN-13(EAN): 9783110315271
Издательство: Walter de Gruyter
Цена: 9288.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

This book is an introduction to nonlinear programming. It deals with the theoretical foundations and solution methods, beginning with the classical procedures and reaching up to -modern- methods like trust region methods or procedures for nonlinear and global optimization. A comprehensive bibliography including diverse web sites with information about nonlinear programming, in particular software, is presented. Without sacrificing the necessary mathematical rigor, excessive formalisms are avoided. Several examples, exercises with detailed solutions, and applications are provided, making the text adequate for individual studies.

The book is written for students from the fields of applied mathematics, engineering, economy, and computation.


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