Download or read book Genetic Algorithms for the Optimization of Gas Turbine Cycles written by Giovanni Torella and published by . This book was released on 1998 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Optimization of Gas Turbine Engine Design by Genetic Algorithms written by Giovanni Torella and published by . This book was released on 2000 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Optimisation of the Usage of Gas Turbine Generation Sets for Oil and Gas Production Using Genetic Algorithms written by Houssein Ben Hariz and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The privatisations of the energy supply industries world-wide has meant that emphasis is now on how to profitably compete. In this environment the development of effective models for optimisation of power plant are of increasing importance, particularly operational strategies for off-design conditions, and particularly for gas turbine engines. Maximisation of plant profitability necessitates proper and integrated evaluation of many factors, the most important of which are: availability and price of fuel, system efficiency and performance, life cycle costing of plant and machinery, present and future generation of revenue, likely future market dynamics. A major contribution of this work is the application of the proposed method to simultaneously maximise both total profit and usage availability of a typical combination of gas turbines engines used for power generation in oil and gas production. The method allows the user, for example, the opportunity to select locally appropriate daily and seasonal power demands and ambient conditions. Through a genetic algorithm optimisation technique, an additional powerful feature of the method is that it allows the user to choose an optimised operating combination of their existing gas turbine equipment. Both individual engine power setting and number of engines can be varied. Alternatively, the user can apply the code to select the best combination of new and/or replacement equipment to achieve best economic performance and highest availability. The number of variables involved in the optimisation process is, of course, very large. It is, therefore, difficult to find the optimal configuration. To address this problem, the first phase of this study is limited to the analysis of the performance of industrial gas turbine engines. The primary aim is to identify the key parameters in the determination of off-design performance. The second aim for the first phase is to identify those tasks suitable for automation. The Gas Turbine Library (Turbomatch) developed at Cranfield University includes simulation codes for many different industrial gas turbines and processes. The optimiser developed as part of this research has been linked with that library. The second phase of this project is to develop an economic model for gas turbines analysing off-design performance. The model includes a life cycle cost assessment including: capital cost, maintenance and operating costs, fuel cost, emission and other taxes and disposal cost. By including total revenue it has been possible to develop a model that allows maximisation of total profit under variable operating conditions. The third phase of the project presents an automated optimisation tool based on a listing of the Turbomatch simulation code and a genetic algorithm technique. The tool uses an evaluation of the fitness value of the objective function and takes into account the optimisation constraints. Two case studies considered where real data obtained from oil field in Libya are used to illustrate the use of the new code to maximising the profit.
Download or read book Genetic Algorithms and Engineering Optimization written by Mitsuo Gen and published by John Wiley & Sons. This book was released on 1999-12-28 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: Im Mittelpunkt dieses Buches steht eines der wichtigsten Optimierungsverfahren der industriellen Ingenieurtechnik: Mit Hilfe genetischer Algorithmen lassen sich Qualität, Design und Zuverlässigkeit von Produkten entscheidend verbessern. Das Verfahren beruht auf der Wahrscheinlichkeitstheorie und lehnt sich an die Prinzipien der biologischen Vererbung an: Die Eigenschaften des Produkts werden, unter Beachtung der äußeren Randbedingungen, schrittweise optimiert. Ein hochaktueller Band international anerkannter Autoren. (03/00)
Download or read book Optimization of Various Gas Turbine Cycles written by Mow-Shung Chen and published by . This book was released on 1975 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Optimisation of the Usage of Gas Turbine Generation Sets for Oil and Gas Production Using Genetic Algorithms written by Houssein Ben Hariz and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The privatisations of the energy supply industries world-wide has meant that emphasis is now on how to profitably compete. In this environment the development of effective models for optimisation of power plant are of increasing importance, particularly operational strategies for off-design conditions, and particularly for gas turbine engines. Maximisation of plant profitability necessitates proper and integrated evaluation of many factors, the most important of which are: availability and price of fuel, system efficiency and performance, life cycle costing of plant and machinery, present and future generation of revenue, likely future market dynamics. A major contribution of this work is the application of the proposed method to simultaneously maximise both total profit and usage availability of a typical combination of gas turbines engines used for power generation in oil and gas production. The method allows the user, for example, the opportunity to select locally appropriate daily and seasonal power demands and ambient conditions. Through a genetic algorithm optimisation technique, an additional powerful feature of the method is that it allows the user to choose an optimised operating combination of their existing gas turbine equipment. Both individual engine power setting and number of engines can be varied. Alternatively, the user can apply the code to select the best combination of new and/or replacement equipment to achieve best economic performance and highest availability. The number of variables involved in the optimisation process is, of course, very large. It is, therefore, difficult to find the optimal configuration. To address this problem, the first phase of this study is limited to the analysis of the performance of industrial gas turbine engines. The primary aim is to identify the key parameters in the determination of off-design performance. The second aim for the first phase is to identify those tasks suitable for automation. The Gas Turbine Library (Turbomatch) developed at Cranfield University includes simulation codes for many different industrial gas turbines and processes. The optimiser developed as part of this research has been linked with that library. The second phase of this project is to develop an economic model for gas turbines analysing off-design performance. The model includes a life cycle cost assessment including: capital cost, maintenance and operating costs, fuel cost, emission and other taxes and disposal cost. By including total revenue it has been possible to develop a model that allows maximisation of total profit under variable operating conditions. The third phase of the project presents an automated optimisation tool based on a listing of the Turbomatch simulation code and a genetic algorithm technique. The tool uses an evaluation of the fitness value of the objective function and takes into account the optimisation constraints. Two case studies considered where real data obtained from oil field in Libya are used to illustrate the use of the new code to maximising the profit.
Download or read book Genetic Algorithms in Applications written by Rustem Popa and published by BoD – Books on Demand. This book was released on 2012-03-21 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic Algorithms (GAs) are one of several techniques in the family of Evolutionary Algorithms - algorithms that search for solutions to optimization problems by "evolving" better and better solutions. Genetic Algorithms have been applied in science, engineering, business and social sciences. This book consists of 16 chapters organized into five sections. The first section deals with some applications in automatic control, the second section contains several applications in scheduling of resources, and the third section introduces some applications in electrical and electronics engineering. The next section illustrates some examples of character recognition and multi-criteria classification, and the last one deals with trading systems. These evolutionary techniques may be useful to engineers and scientists in various fields of specialization, who need some optimization techniques in their work and who may be using Genetic Algorithms in their applications for the first time. These applications may be useful to many other people who are getting familiar with the subject of Genetic Algorithms.
Download or read book Dynamic Modelling of Gas Turbines written by Gennady G. Kulikov and published by Springer Science & Business Media. This book was released on 2013-12-11 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whereas other books in this area stick to the theory, this book shows the reader how to apply the theory to real engines. It provides access to up-to-date perspectives in the use of a variety of modern advanced control techniques to gas turbine technology.
Download or read book Proceedings of the International Conference on Soft Computing for Problem Solving SocProS 2011 December 20 22 2011 written by Kusum Deep and published by Springer Science & Business Media. This book was released on 2012-04-13 with total page 1034 pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective is to provide the latest developments in the area of soft computing. These are the cutting edge technologies that have immense application in various fields. All the papers will undergo the peer review process to maintain the quality of work.
Download or read book Gas Turbine Off design Performance Adaptation Based on Genetic Algorithms written by E. Lo Gatto and published by . This book was released on 2004 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Elements of Gas Turbine Propulsion written by Jack D. Mattingly and published by AIAA (American Institute of Aeronautics & Astronautics). This book was released on 2005 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text provides an introduction to gas turbine engines and jet propulsion for aerospace or mechanical engineers. The text is divided into four parts: introduction to aircraft propulsion; basic concepts and one-dimensional/gas dynamics; parametric (design point) and performance (off-design) analysis of air breathing propulsion systems; and analysis and design of major gas turbine engine components (fans, compressors, turbines, inlets, nozzles, main burners, and afterburners). Design concepts are introduced early (aircraft performance in introductory chapter) and integrated throughout. Written with extensive student input on the design of the book, the book builds upon definitions and gradually develops the thermodynamics, gas dynamics, and gas turbine engine principles.
Download or read book Genetic Algorithms and Genetic Programming written by Michael Affenzeller and published by CRC Press. This book was released on 2009-04-09 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications discusses algorithmic developments in the context of genetic algorithms (GAs) and genetic programming (GP). It applies the algorithms to significant combinatorial optimization problems and describes structure identification using HeuristicLab as a platform for al
Download or read book Algorithms for Variable Size Optimization written by Ossama Abdelkhalik and published by CRC Press. This book was released on 2021-04-04 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many systems architecture optimization problems are characterized by a variable number of optimization variables. Many classical optimization algorithms are not suitable for such problems. The book presents recently developed optimization concepts that are designed to solve such problems. These new concepts are implemented using genetic algorithms and differential evolution. The examples and applications presented show the effectiveness of the use of these new algorithms in optimizing systems architectures. The book focuses on systems architecture optimization. It covers new algorithms and its applications, besides reviewing fundamental mathematical concepts and classical optimization methods. It also provides detailed modeling of sample engineering problems. The book is suitable for graduate engineering students and engineers. The second part of the book includes numerical examples on classical optimization algorithms, which are useful for undergraduate engineering students. While focusing on the algorithms and their implementation, the applications in this book cover the space trajectory optimization problem, the optimization of earth orbiting satellites orbits, and the optimization of the wave energy converter dynamic system: architecture and control. These applications are illustrated in the starting of the book, and are used as case studies in later chapters for the optimization methods presented in the book.
Download or read book Optimization of Energy Systems written by Ibrahim Din¿er and published by John Wiley & Sons. This book was released on 2017-05-15 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: An essential resource for optimizing energy systems to enhance design capability, performance and sustainability Optimization of Energy Systems comprehensively describes the thermodynamic modelling, analysis and optimization of numerous types of energy systems in various applications. It provides a new understanding of the system and the process of defining proper objective functions for determination of the most suitable design parameters for achieving enhanced efficiency, cost effectiveness and sustainability. Beginning with a general summary of thermodynamics, optimization techniques and optimization methods for thermal components, the book goes on to describe how to determine the most appropriate design parameters for more complex energy systems using various optimization methods. The results of each chapter provide potential tools for design, analysis, performance improvement, and greenhouse gas emissions reduction. Key features: Comprehensive coverage of the modelling, analysis and optimization of many energy systems for a variety of applications. Examples, practical applications and case studies to put theory into practice. Study problems at the end of each chapter that foster critical thinking and skill development. Written in an easy-to-follow style, starting with simple systems and moving to advanced energy systems and their complexities. A unique resource for understanding cutting-edge research in the thermodynamic analysis and optimization of a wide range of energy systems, Optimization of Energy Systems is suitable for graduate and senior undergraduate students, researchers, engineers, practitioners, and scientists in the area of energy systems.
Download or read book Genetic Algorithms Principles and Perspectives written by Colin R. Reeves and published by Springer Science & Business Media. This book was released on 2006-04-11 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory is a survey of some important theoretical contributions, many of which have been proposed and developed in the Foundations of Genetic Algorithms series of workshops. However, this theoretical work is still rather fragmented, and the authors believe that it is the right time to provide the field with a systematic presentation of the current state of theory in the form of a set of theoretical perspectives. The authors do this in the interest of providing students and researchers with a balanced foundational survey of some recent research on GAs. The scope of the book includes chapter-length discussions of Basic Principles, Schema Theory, "No Free Lunch", GAs and Markov Processes, Dynamical Systems Model, Statistical Mechanics Approximations, Predicting GA Performance, Landscapes and Test Problems.
Download or read book 34th AIAA ASME SAE ASEE Joint Propulsion Conference Exhibit written by and published by . This book was released on 1998 with total page 636 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Genetic Algorithms and Fuzzy Multiobjective Optimization written by Masatoshi Sakawa and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the introduction of genetic algorithms in the 1970s, an enormous number of articles together with several significant monographs and books have been published on this methodology. As a result, genetic algorithms have made a major contribution to optimization, adaptation, and learning in a wide variety of unexpected fields. Over the years, many excellent books in genetic algorithm optimization have been published; however, they focus mainly on single-objective discrete or other hard optimization problems under certainty. There appears to be no book that is designed to present genetic algorithms for solving not only single-objective but also fuzzy and multiobjective optimization problems in a unified way. Genetic Algorithms And Fuzzy Multiobjective Optimization introduces the latest advances in the field of genetic algorithm optimization for 0-1 programming, integer programming, nonconvex programming, and job-shop scheduling problems under multiobjectiveness and fuzziness. In addition, the book treats a wide range of actual real world applications. The theoretical material and applications place special stress on interactive decision-making aspects of fuzzy multiobjective optimization for human-centered systems in most realistic situations when dealing with fuzziness. The intended readers of this book are senior undergraduate students, graduate students, researchers, and practitioners in the fields of operations research, computer science, industrial engineering, management science, systems engineering, and other engineering disciplines that deal with the subjects of multiobjective programming for discrete or other hard optimization problems under fuzziness. Real world research applications are used throughout the book to illustrate the presentation. These applications are drawn from complex problems. Examples include flexible scheduling in a machine center, operation planning of district heating and cooling plants, and coal purchase planning in an actual electric power plant.
