Multi-Objective Optimization of Industrial Power Generation Systems: Emerging Research and Opportunities

248 Pages·2019·9.857 MB·English

by  Timothy Ganesan

Multi-Objective
Optimization of Industrial
Power Generation
Systems:
Emerging Research and
Opportunities
Timothy Ganesan
Royal Bank of Canada, Canada
A volume in the Advances in Civil
and Industrial Engineering (ACIE)
Book Series
Published in the United States of America by
IGI Global
Engineering Science Reference (an imprint of IGI Global)
701 E. Chocolate Avenue
Hershey PA, USA 17033
Tel: [phone]
Fax: [phone]
E-mail: [email protected]
Web site: http://www.igi-global.com
Copyright © 2020 by IGI Global. All rights reserved. No part of this publication may be
reproduced, stored or distributed in any form or by any means, electronic or mechanical, including
photocopying, without written permission from the publisher.
Product or company names used in this set are for identification purposes only. Inclusion of the
names of the products or companies does not indicate a claim of ownership by IGI Global of the
trademark or registered trademark.
Library of Congress Cataloging-in-Publication Data
Names: Ganesan, Timothy, author.
Title: Multi-objective optimization of industrial power generation systems
: emerging research and opportunities / by Timothy Ganesan.
Description: Hershey, PA : Engineering Science Reference, 2020. | Includes
bibliographical references and index. | Summary: “This book describes
and discusses some key applications of CI frameworks in power generation
systems”-- Provided by publisher.
Identifiers: LCCN 2019032968 (print) | LCCN 2019032969 (ebook) | ISBN
9781799817109 (h/c) | ISBN 9781799817116 (s/c) | ISBN 9781799817123
(ebook)
Subjects: LCSH: Electric power systems--Control--Data processing. |
Artificial intelligence. | Multiple criteria decision making.
Classification: LCC TK1007 .G36 2020 (print) | LCC TK1007 (ebook) | DDC
621.31/21028563--dc23
LC record available at https://lccn.loc.gov/2019032968
LC ebook record available at https://lccn.loc.gov/2019032969

This book is published in the IGI Global book series Advances in Civil and Industrial Engineering
(ACIE) (ISSN: 2326-6139; eISSN: 2326-6155)
British Cataloguing in Publication Data
A Cataloguing in Publication record for this book is available from the British Library.
All work contributed to this book is new, previously-unpublished material.
The views expressed in this book are those of the authors, but not necessarily of the publisher.
For electronic access to this publication, please contact: [email protected].
Advances in Civil and
Industrial Engineering
Ioan Constantin Dima
(ACIE) Book Series University Valahia of Târgovişte,
Romania
ISSN:2326-6139
EISSN:2326-6155
Editor-in-Chief: Ioan Constantin Dima, University Valahia of Târgovişte,
Romania
Mission
Private and public sector infrastructures begin to age, or require change in the face of
developing technologies, the fields of civil and industrial engineering have become increasingly
important as a method to mitigate and manage these changes. As governments and the public
at large begin to grapple with climate change and growing populations, civil engineering
has become more interdisciplinary and the need for publications that discuss the rapid
changes and advancements in the field have become more in-demand. Additionally, private
corporations and companies are facing similar changes and challenges, with the pressure
for new and innovative methods being placed on those involved in industrial engineering.
The Advances in Civil and Industrial Engineering (ACIE) Book Series aims to
present research and methodology that will provide solutions and discussions to meet such
needs. The latest methodologies, applications, tools, and analysis will be published through
the books included in ACIE in order to keep the available research in civil and industrial
engineering as current and timely as possible.
Coverage
• Production Planning and Control
IGI Global is currently accepting
• Ergonomics
• Transportation Engineering manuscripts for publication within this
• Earthquake engineering series. To submit a proposal for a volume in
• Structural Engineering this series, please contact our Acquisition
• Productivity Editors at [email protected] or
• Engineering Economics visit: http://www.igi-global.com/publish/.
• Construction Engineering
• Materials Management
• Operations Research
The Advances in Civil and Industrial Engineering (ACIE) Book Series (ISSN 2326-6139) is published by IGI Global,
701 E. Chocolate Avenue, Hershey, PA 17033-1240, USA, www.igi-global.com. This series is composed of titles available
for purchase individually; each title is edited to be contextually exclusive from any other title within the series. For pricing
and ordering information please visit http://www.igi-global.com/book-series/advances-civil-industrial-engineering/73673.
Postmaster: Send all address changes to above address. Copyright © 2020 IGI Global. All rights, including translation in
other languages reserved by the publisher. No part of this series may be reproduced or used in any form or by any means
– graphics, electronic, or mechanical, including photocopying, recording, taping, or information and retrieval systems –
without written permission from the publisher, except for non commercial, educational use, including classroom teaching
purposes. The views expressed in this series are those of the authors, but not necessarily of IGI Global.
Titles in this Series
For a list of additional titles in this series, please visit:
https://www.igi-global.com/book-series/advances-civil-industrial-engineering/73673
Re-Coding Homes Through Flexible Interiors Emerging Research and Opportunities
Nilüfer Saglar Onay (Istanbul Technical University, Turkey) S. Banu Garip (Istanbul Technical
University, Turkey) and Ervin Garip (Istanbul Technical University, Turkey)
Engineering Science Reference • © 2020 • 165pp • H/C (ISBN: 9781522589587) • US
$175.00 (our price)
Green Building Management and Smart Automation
Arun Solanki (Gautam Buddha University, India) and Anand Nayyar (Duy Tan University,
Vietnam)
Engineering Science Reference • © 2020 • 312pp • H/C (ISBN: 9781522597544) • US
$215.00 (our price)
Handbook of Research on Implementation and Deployment of IoT Projects in Smart Cities
Krishnan Saravanan (Anna University Chennai – Regional Office Tirunelveli, India) Golden
Julie (Anna University, India) and Harold Robinson (SCAD College of Engineering and
Technology, India)
Engineering Science Reference • © 2019 • 415pp • H/C (ISBN: 9781522591993) • US
$295.00 (our price)
Handbook of Research on Digital Research Methods and Architectural Tools in Urban
Planning and Design
Hisham Abusaada (Housing and Building National Research Center, Egypt) Carsten
Vellguth (German Academic Exchange Service, Germany) and Abeer Elshater (Ain Shams
University, Egypt)
Engineering Science Reference • © 2019 • 445pp • H/C (ISBN: 9781522592389) • US
$265.00 (our price)
701 East Chocolate Avenue, Hershey, PA 17033, USA
Tel: [phone] x100 • Fax: [phone]
E-Mail: [email protected] • www.igi-global.com
Table of Contents
Foreword..............................................................................................................vii
Preface...................................................................................................................xi
Acknowledgment................................................................................................xiv
Chapter 1
Computational.Intelligence.in.Energy.Generation.................................................1
Chapter 2
Optimization.of.a.Solar-powered.Irrigation.System.............................................63
Chapter 3
Multiobjective.Programming.for.Waste.Heat.Recovery.of.an.Industrial.Gas.
Turbine................................................................................................................110
Chapter 4
Multiobjective.Optimization.for.Waste.Heat.Recovery.of.an.Industrial.Gas.
Turbine.using.Extreme.Value.Stochastic.Engines..............................................148
Chapter 5
Biofuel.Supply.Chain.Optimization.Using.Lévy-Enhanced.Swarm.
Intelligence..........................................................................................................169

Chapter 6
Biofuel.Supply.Chain.Optimization.Using.Random.Matrix.Generators............198
Conclusion.........................................................................................................216
Related Readings...............................................................................................218
About the Author..............................................................................................232
Index...................................................................................................................233
vii
Foreword
The primary aim of this book, Multi-Objective Optimization of Industrial
Power Generation Systems: Emerging Research and Opportunities is to
provide insights on the implementation of current multi-objective (MO)
optimization techniques to application problems in power engineering.
This book provides recent developments of computational intelligence in
the power generation industry covering bioenergy, solar power, distributed
generation, coal power, hydro and hydrothermal systems, gas turbine plants,
combined cycle systems and nuclear plants. In addition, the book primarily
focuses on complex MO optimization problems involving: solar power
technologies, industrial gas turbine systems and biofuel supply chains. This
book is invaluable for readers serving as a guideline to conduct research and
tackle real-world industrial MO problems in the energy industry. It provides
algorithmic details on current state-of-the-art MO optimization techniques
applied in the power industry - the results of these implementations are also
critically analyzed and discussed throughout the book.
This book blazes the trail for emerging research areas in MO techniques
- e.g. evolutionary algorithms, swarm intelligence as well as symbolic
programming paradigms (analytical and genetic programming). The author
introduces fundamental elements, computational procedures and detail
industrial applications in MO optimization. These factors provide the essential
tools and ‘know-hows’ for building and applying efficient MO algorithms.
In power generation, practical utilization of MO techniques has become of
utmost importance providing various advantages to organization and decision
makers globally. Among these advantages are; timely delivery of service,
adherence to service level agreements (SLA), optimization of existing systems,
improved utilization of resources and efficient system management.
Another key contribution of this book is the novel ideas presented on
improving existing methodologies in MO optimization. For instance, in
Foreword
Chapter 2, a Type-2 Fuzzy Logic approach was utilized in the MO solar
irrigation problem (which was plagued by uncertainties). In the design of
alternative energy systems such as solar technologies, the engineer/decision
maker would often encounter noise sources when their system interacts with
the environment (e.g. solar insolation and ambient temperature fluctuations).
The author presents a novel idea where a generalized problem is constructed
and solved within a Type-2 Fuzzy formulation.
In Chapter 3, a chaos-based mechanism was employed to enhance the
differential evolution computational technique. By manipulating the chaos
levels of the solution method, the optimization efforts was seen to significantly
improve. The interesting concept of stochastic engines is introduced and
employed in Chapter 4 for tackling the gas turbine waste heat recovery
MO optimization problem. There the author shows that each stochastic
engine uniquely influences the optimization results - when applied to highly
complex problems (MO problems with four or more objective functions).
In that chapter, the idea of manipulating the factors in stochastic engines is
given (probability distribution; shape, scale and location) with the idea of
improving their effectiveness.
In Chapters 5 and 6, Lévy flight enhancements and random matrices were
incorporated into the optimization strategies for solving the high-complexity
biofuel supply chain problem. These novel frameworks inspire further
research works and pushes the limits of conventional solution strategies in
MO optimization.
This valuable volume consists of the following research goals, topics and
techniques:
• It provides comprehensive guidelines for engineers/decision makers
for building algorithmic solution methods for MO optimization of
power generation systems.
• It explores various MO settings and scenarios in real-world industrial
power generation systems.
• It discusses and critically analyzes the results obtained from the
application of different types of solutions strategies - and the impacts
of algorithmic enhancements on the optimization results (positive and
negative impacts).
• It also supplies the reader with some of the behaviors and characteristics
of the computational method during execution on these industrial
problems.
viii
Foreword
• It provides the reader with potential research directions and ideas
for constructing interesting hypotheses for further numerical
experimentations.
MO applications using computational intelligence, specifically
metaheuristics are currently growing at an unprecedented level. These
applications range broadly across various industrial engineering sectors: supply
chain management, system design, operations/maintenance, risk/reliability
engineering, control systems, process modelling, energy optimization and
resource utilization. Although this book focuses on three specific applications:
solar power technologies, industrial gas turbine systems and biofuel supply
chains, the solution strategies and the ‘thinking framework’ utilized in this
book could be extended to other areas in industrial engineering.
The discussions provided by the author are rich and multifaceted covering
various aspects of industrial applications as well as solution strategies. The
variety of topics covered in this book is extracted from the author’s vast
experience in various research works in MO industrial optimization. The
author combines two styles. The first is a ‘data-driven’ approach which
emerges from a ‘problem-based solution’ philosophy frequently used in
engineering and the applied sciences. The second one is a ‘theoretical model-
centric approach’ springing from fundamentals in mathematics and physics
- where he wields diverse mathematical tools from highly theoretical fields.
This blend of styles is very suitable when dealing with complex problems as
encountered in this book as well as problems where the lines between theory
and application are blurred.
To the author of the book, Timothy Ganesan, we would like to extend our
gratitude and appreciation for utilizing your analytical skills, expertise and
research experience to generate this volume - which is invaluable for other
researchers and decision makers in academia and industry alike. We are also
thankful to the publisher IGI Global for providing an avenue for experts
like the author to publish their current developments and emerging research
methodologies - helping them increase the accessibility of their work to a
larger scientific community.
To the reader, we wish that upon reading this book you will gain invaluable
insights and useful knowledge - most importantly we wish that you obtain
the knowledge to build effective techniques and tools for solving a vast array
of problems in industrial optimization. Moreover, the content of this book
ix