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Author: Xingrang Liu
Publisher: CRC Press
ISBN: 1498708234
Category : Science
Languages : en
Pages : 322
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Book Description
Thermal Power Plants: Modeling, Control, and Efficiency Improvement explains how to solve highly complex industry problems regarding identification, control, and optimization through integrating conventional technologies, such as modern control technology, computational intelligence-based multiobjective identification and optimization, distributed computing, and cloud computing with computational fluid dynamics (CFD) technology. Introducing innovative methods utilized in industrial applications, explored in scientific research, and taught at leading academic universities, this book: Discusses thermal power plant processes and process modeling, energy conservation, performance audits, efficiency improvement modeling, and efficiency optimization supported by high-performance computing integrated with cloud computing Shows how to simulate fossil fuel power plant real-time processes, including boiler, turbine, and generator systems Provides downloadable source codes for use in CORBA C++, MATLAB®, Simulink®, VisSim, Comsol, ANSYS, and ANSYS Fluent modeling software Although the projects in the text focus on industry automation in electrical power engineering, the methods can be applied in other industries, such as concrete and steel production for real-time process identification, control, and optimization.
Author: Xingrang Liu
Publisher: CRC Press
ISBN: 1498708234
Category : Science
Languages : en
Pages : 322
Get Book Here
Book Description
Thermal Power Plants: Modeling, Control, and Efficiency Improvement explains how to solve highly complex industry problems regarding identification, control, and optimization through integrating conventional technologies, such as modern control technology, computational intelligence-based multiobjective identification and optimization, distributed computing, and cloud computing with computational fluid dynamics (CFD) technology. Introducing innovative methods utilized in industrial applications, explored in scientific research, and taught at leading academic universities, this book: Discusses thermal power plant processes and process modeling, energy conservation, performance audits, efficiency improvement modeling, and efficiency optimization supported by high-performance computing integrated with cloud computing Shows how to simulate fossil fuel power plant real-time processes, including boiler, turbine, and generator systems Provides downloadable source codes for use in CORBA C++, MATLAB®, Simulink®, VisSim, Comsol, ANSYS, and ANSYS Fluent modeling software Although the projects in the text focus on industry automation in electrical power engineering, the methods can be applied in other industries, such as concrete and steel production for real-time process identification, control, and optimization.
Author: C. Maffezzoni
Publisher: Elsevier
ISBN: 1483148637
Category : Technology & Engineering
Languages : en
Pages : 176
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Book Description
Modelling and Control of Electric Power Plants focuses on the modeling and simulation of thermal and nuclear units; the methods and technologies of advanced control systems that are applied in power stations; the design and analysis of man-machine systems; and the processes in power generation. Contained in the book are the literature of contributors who have done research on design and operation of electric power plants. The book begins with the development of models of electric power plants and nuclear power plants. Simulations, analysis, and studies are conducted to test the processes and controls that are instituted in the operations of these plants. Another part of the discussion focuses on the control mechanisms that are employed in plants. These computer control systems are deemed essential in the operations of these plants. The role that computers play in plants is noted, which is particularly observed in the operation of equipment, control of conditions, and application of operational processes in these areas. Some of the areas in which modeling is carried out include electric power plants, fossil fuel power plants, boilers, and coal plants. The discussions can be a source of information to those interested in the design, control, and operation of power plants.
Author: Damian Flynn
Publisher: IET
ISBN: 0852964196
Category : Science
Languages : en
Pages : 447
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Book Description
An exploration of how advances in computing technology and research can be combined to extend the capabilities and economics of modern power plants. The contributors, from academia as well as practising engineers, illustrate how the various methodologies can be applied to power plant operation.
Author: Ravinesh Deo
Publisher: Elsevier
ISBN: 012817773X
Category : Technology & Engineering
Languages : en
Pages : 553
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Book Description
Predictive Modeling for Energy Management and Power Systems Engineering introduces readers to the cutting-edge use of big data and large computational infrastructures in energy demand estimation and power management systems. The book supports engineers and scientists who seek to become familiar with advanced optimization techniques for power systems designs, optimization techniques and algorithms for consumer power management, and potential applications of machine learning and artificial intelligence in this field. The book provides modeling theory in an easy-to-read format, verified with on-site models and case studies for specific geographic regions and complex consumer markets. - Presents advanced optimization techniques to improve existing energy demand system - Provides data-analytic models and their practical relevance in proven case studies - Explores novel developments in machine-learning and artificial intelligence applied in energy management - Provides modeling theory in an easy-to-read format
Author: Mircea Eremia
Publisher: John Wiley & Sons
ISBN: 1118516060
Category : Technology & Engineering
Languages : en
Pages : 914
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Book Description
This book aims to provide insights on new trends in power systems operation and control and to present, in detail, analysis methods of the power system behavior (mainly its dynamics) as well as the mathematical models for the main components of power plants and the control systems implemented in dispatch centers. Particularly, evaluation methods for rotor angle stability and voltage stability as well as control mechanism of the frequency and voltage are described. Illustrative examples and graphical representations help readers across many disciplines acquire ample knowledge on the respective subjects.
Author: William A. Poe
Publisher: Gulf Professional Publishing
ISBN: 0128029811
Category : Technology & Engineering
Languages : en
Pages : 302
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Book Description
Modeling, Control, and Optimization of Natural Gas Processing Plants presents the latest on the evolution of the natural gas industry, shining a light on the unique challenges plant managers and owners face when looking for ways to optimize plant performance and efficiency, including topics such as the various feed gas compositions, temperatures, pressures, and throughput capacities that keep them looking for better decision support tools. The book delivers the first reference focused strictly on the fast-growing natural gas markets. Whether you are trying to magnify your plants existing capabilities or are designing a new facility to handle more feedstock options, this reference guides you by combining modeling control and optimization strategies with the latest developments within the natural gas industry, including the very latest in algorithms, software, and real-world case studies. - Helps users adapt their natural gas plant quickly with optimization strategies and advanced control methods - Presents real-world application for gas process operations with software and algorithm comparisons and practical case studies - Provides coverage on multivariable control and optimization on existing equipment - Allows plant managers and owners the tools they need to maximize the value of the natural gas produced
Author: Ahmad Taher Azar
Publisher: Academic Press
ISBN: 0128203986
Category : Technology & Engineering
Languages : en
Pages : 734
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Book Description
Renewable Energy Systems: Modelling, Optimization and Control aims to cross-pollinate recent advances in the study of renewable energy control systems by bringing together diverse scientific breakthroughs on the modeling, control and optimization of renewable energy systems by leading researchers. The book brings together the most comprehensive collection of modeling, control theorems and optimization techniques to help solve many scientific issues for researchers in renewable energy and control engineering. Many multidisciplinary applications are discussed, including new fundamentals, modeling, analysis, design, realization and experimental results. The book also covers new circuits and systems to help researchers solve many nonlinear problems. This book fills the gaps between different interdisciplinary applications, ranging from mathematical concepts, modeling, and analysis, up to the realization and experimental work. - Covers modeling, control theorems and optimization techniques which will solve many scientific issues for researchers in renewable energy - Discusses many multidisciplinary applications with new fundamentals, modeling, analysis, design, realization and experimental results - Includes new circuits and systems, helping researchers solve many nonlinear problems
Author: Gustav Lammert
Publisher: kassel university press GmbH
ISBN: 3737607168
Category : Technology & Engineering
Languages : en
Pages : 203
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Book Description
This thesis investigates the impact of: i) the low voltage ride-through and dynamic voltage support capability; ii) the active current recovery rate; iii) the local voltage control; and iv) the plant-level voltage control of large-scale photovoltaic systems on short-term voltage stability and fault-induced delayed voltage recovery as well as transient and frequency stability. The power system dynamic performance is analysed using state-of-the-art methods, such as phasor mode time-domain simulations and the calculation of the critical clearing time that determines the stability margin. Moreover, the recently developed Kullback-Leibler divergence measure is applied to assess the quality of the voltage recovery. Drawbacks of this metric are outlined and a novel metric, the so-called voltage recovery index, is defined that quantifies the delayed voltage recovery more systematically. The studies are performed with a generic photovoltaic system model and typical model parameters are used that were determined in collaboration with a manufacturer. The stability analysis is performed in DIgSILENT PowerFactory using: i) a one-load infinite-bus system; and ii) an IEEE multi-machine voltage stability test system, namely the Nordic test system. The results show that with the adequate control of photovoltaic systems, power system dynamic performance can be significantly improved.
Author: M. H. Nehrir
Publisher: John Wiley & Sons
ISBN: 0470233281
Category : Technology & Engineering
Languages : en
Pages : 316
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Book Description
The only book available on fuel cell modeling and control with distributed power generation applications The emerging fuel cell (FC) technology is growing rapidly in its applications from small-scale portable electronics to large-scale power generation. This book gives students, engineers, and scientists a solid understanding of the FC dynamic modeling and controller design to adapt FCs to particular applications in distributed power generation. The book begins with a fascinating introduction to the subject, including a brief history of the U.S. electric utility formation and restructuring. Next, it provides coverage of power deregulation and distributed generation (DG), DG types, fuel cell DGs, and the hydrogen economy. Building on that foundation, it covers: Principle operations of fuel cells Dynamic modeling and simulation of PEM and solid-oxide fuel cells Principle operations and modeling of electrolyzers Power electronic interfacing circuits for fuel cell applications Control of grid-connected and stand-alone fuel cell power generation systems Hybrid fuel cell–based energy system case studies Present challenges and the future of fuel cells MATLAB/SIMULINK-based models and their applications are available via a companion Web site. Modeling and Control of Fuel Cells is an excellent reference book for students and professionals in electrical, chemical, and mechanical engineering and scientists working in the FC area.
Author: Lingfeng Wang
Publisher: Springer Science & Business Media
ISBN: 3642229042
Category : Technology & Engineering
Languages : en
Pages : 369
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Book Description
The concept of the smart grid promises the world an efficient and intelligent approach of managing energy production, transportation, and consumption by incorporating intelligence, efficiency, and optimality into the power grid. Both energy providers and consumers can take advantage of the convenience, reliability, and energy savings achieved by real-time and intelligent energy management. To this end, the current power grid is experiencing drastic changes and upgrades. For instance, more significant green energy resources such as wind power and solar power are being integrated into the power grid, and higher energy storage capacity is being installed in order to mitigate the intermittency issues brought about by the variable energy resources. At the same time, novel power electronics technologies and operating strategies are being invented and adopted. For instance, Flexible AC transmission systems and phasor measurement units are two promising technologies for improving the power system reliability and power quality. Demand side management will enable the customers to manage the power loads in an active fashion. As a result, modeling and control of modern power grids pose great challenges due to the adoption of new smart grid technologies. In this book, chapters regarding representative applications of smart grid technologies written by world-renowned experts are included, which explain in detail various innovative modeling and control methods.
