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Modeling, Control, Estimation, and Optimization for Microgrids: A Fuzzy-Model-Based Method
by Zhixiong ZhongDue to increasing economic and environmental pressures, small-scale grids have received increasing attention in the last fifteen years. These renewable sources, such as solar PVs, wind turbines, and fuel cells, integrated with grid, have changed the way we live our lives. This book describes microgrid dynamics modeling and nonlinear control issues from introductory to the advanced steps. The book addresses the most relevant challenges in microgrid protection and control including modeling, uncertainty, stability issues, local control, coordination control, power quality, and economic dispatch.
Modeling, Design, Construction, and Operation of Power Generators with Solid Oxide Fuel Cells: From Single Cell To Complete Power System (Green Energy And Technology)
by Jakub KupeckiThe book summarizes the current state of the solid oxide fuel cell (SOFC) technology in power generation applications. It describes the single cells, SOFC stacks, micro-combined heat and power systems, large-scale stationary power generators and polygeneration units. The principles of modeling, simulation and controls of power systems with solid oxide fuel cells are presented and discussed. Authors provide theoretical background of the technology followed by the essential insights into the integrated power systems. Selected aspects of the design, construction and operation of power units in range from single kilowatts to hundreds of kilowatts are presented. Finally, the book reports the selected studies on prototype systems which have been constructed in Europe.The book discusses the theoretical and practical aspects of operation of power generators with solid oxide fuel cells including fabrication of cells, design of stacks, system modeling, simulation of stationary and non-stationary operation of systems, fuel preparation and controls.
Modeling, Design, and Optimization of Net-Zero Energy Buildings (Solar Heating and Cooling)
by William O'Brien Andreas AthienitisBuilding energy design is currently going through a period of major changes. One key factor of this is the adoption of net-zero energy as a long term goal for new buildings in most developed countries. To achieve this goal a lot of research is needed to accumulate knowledge and to utilize it in practical applications. In this book, accomplished international experts present advanced modeling techniques as well as in-depth case studies in order to aid designers in optimally using simulation tools for net-zero energy building design. The strategies and technologies discussed in this book are, however, also applicable for the design of energy-plus buildings. This book was facilitated by International Energy Agency's Solar Heating and Cooling (SHC) Programs and the Energy in Buildings and Communities (EBC) Programs through the joint SHC Task 40/EBC Annex 52: Towards Net Zero Energy Solar Buildings R&D collaboration. After presenting the fundamental concepts, design strategies, and technologies required to achieve net-zero energy in buildings, the book discusses different design processes and tools to support the design of net-zero energy buildings (NZEBs). A substantial chapter reports on four diverse NZEBs that have been operating for at least two years. These case studies are extremely high quality because they all have high resolution measured data and the authors were intimately involved in all of them from conception to operating. By comparing the projections made using the respective design tools with the actual performance data, successful (and unsuccessful) design techniques and processes, design and simulation tools, and technologies are identified. Written by both academics and practitioners (building designers) and by North Americans as well as Europeans, this book provides a very broad perspective. It includes a detailed description of design processes and a list of appropriate tools for each design phase, plus methods for parametric analysis and mathematical optimization. It is a guideline for building designers that draws from both the profound theoretical background and the vast practical experience of the authors.
Modeling, Identification and Control Methods in Renewable Energy Systems (Green Energy and Technology)
by Quanmin Zhu Nabil DerbelMost of the research and experiments in the fields of modeling and control systems have spent significant efforts to find rules from various complicated phenomena by principles, observations, measured data, logic derivations. The rules are normally summarized as concise and quantitative expressions or “models”. “Identification” provides mechanisms to establish the models and “control” provides mechanisms to improve system performances.This book reflects the relevant studies and applications in the area of renewable energies, with the latest research from interdisciplinary theoretical studies, computational algorithm development to exemplary applications. It discusses how modeling and control methods such as recurrent neural network, Pitch Angle Control, Fuzzy control, Sliding Mode Control and others are used in renewable systems. It covers topics as photovoltaic systems, wind turbines, maximum power point tracking, batteries for renewable energies, solar energy, thermal energy and so on. This book is edited and written by leading experts in the field and offers an ideal reference guide for researchers and engineers in the fields of electrical/electronic engineering, control system and energy.
Modeling, Identification and Simulation of Dynamical Systems
by P. P. van den Bosch A. C. van der KlauwThis book gives an in-depth introduction to the areas of modeling, identification, simulation, and optimization. These scientific topics play an increasingly dominant part in many engineering areas such as electrotechnology, mechanical engineering, aerospace, and physics. This book represents a unique and concise treatment of the mutual interactions among these topics.Techniques for solving general nonlinear optimization problems as they arise in identification and many synthesis and design methods are detailed. The main points in deriving mathematical models via prior knowledge concerning the physics describing a system are emphasized. Several chapters discuss the identification of black-box models. Simulation is introduced as a numerical tool for calculating time responses of almost any mathematical model. The last chapter covers optimization, a generally applicable tool for formulating and solving many engineering problems.
Modeling, Machine Learning and Astronomy: First International Conference, MMLA 2019, Bangalore, India, November 22–23, 2019, Revised Selected Papers (Communications in Computer and Information Science #1290)
by Nithin Nagaraj Snehanshu Saha Shikha TripathiThis book constitutes the proceedings of the First International Conference on Modeling, Machine Learning and Astronomy, MMLA 2019, held in Bangalore, India, in November 2019.The 11 full papers and 3 short papers presented in this volume were carefully reviewed and selected from 63 submissions. They are organized in topical sections on modeling and foundations; machine learning applications; astronomy and astroinformatics.
Modeling, Methodologies and Tools for Molecular and Nano-scale Communications
by Tadashi Nakano Junichi Suzuki Michael John MooreThis book reports on cutting-edge modeling techniques, methodologies and tools used to understand, design and engineer nanoscale communication systems, such as molecular communication systems. Moreover, it includes introductory materials for those who are new to the field. The book's interdisciplinary approach, which merges perspectives in computer science, the biological sciences and nanotechnology, will appeal to graduate students and researchers in these three areas. The book is organized into five parts, the first of which describes the fundamentals of molecular communication, including basic concepts, models and designs. In turn, the second part examines specific types of molecular communication found in biological systems, such as neuronal communication in the brain. The book continues by exploring further types of nanoscale communication, such as fluorescence resonance energy transfer and electromagnetic-based nanoscale communication, in the third part, and by describing nanomaterials and structures for practical applications in the fourth. Lastly, the book presents nanomedical applications such as targeted drug delivery and biomolecular sensing.
Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems: An Optimal Integration Of Renewable Energy Resources Into Grid (Studies in Systems, Decision and Control #434)
by Moussa Labbadi Mohamed Cherkaoui Kamal Elyaalaoui Loubna Bousselamti Mohammed OuassaidThis book consists of two parts. The first part studies selected recent developed strategies of control and management for renewable energy resources. The strategies of control are tested in the presence of unbalance power, voltage faults, frequency deviation, wind speed variation and parametric uncertainties. The second part is especially focused on study of hybrid photovoltaic (PV)-Concentrated solar power (CSP) coupled to a thermal storage system. It gathers a set of chapters covering recent survey literature, modelling and optimization of hybrid PV-CSP power plants. In this part, a detailed model of hybrid PV-CSP with thermal storage system is presented and smart optimization techniques like particle swarm optimization (PSO) and genetic algorithm (GA) are also described and used to optimally design the hybrid PV-CSP renewable energy system. The book would be interesting to most academic undergraduate, postgraduates, researchers on renewable energy systems in terms of modeling, optimization and control, as well as the satisfaction of grid code requirements. Also, it provides an excellent background to renewable energy sources, it is an excellent choice for energy engineers, researchers, system operators, and graduate students. This book can used as a good reference for the academic research on the smart grid, power control, integration of renewable energy sources, and related to this or used in Ph.D study of control, optimisation, management problems and their application in field engineering.
Modeling, Simulation and Optimization for Science and Technology
by Pekka Neittaanmäki William Fitzgibbon Yuri A. Kuznetsov Olivier PironneauThis volume contains thirteen articles on advances in applied mathematics and computing methods for engineering problems. Six papers are on optimization methods and algorithms with emphasis on problems with multiple criteria; four articles are on numerical methods for applied problems modeled with nonlinear PDEs; two contributions are on abstract estimates for error analysis; finally one paper deals with rare events in the context of uncertainty quantification. Applications include aerospace, glaciology and nonlinear elasticity. Herein is a selection of contributions from speakers at two conferences on applied mathematics held in June 2012 at the University of Jyväskylä, Finland. The first conference, "Optimization and PDEs with Industrial Applications" celebrated the seventieth birthday of Professor Jacques Périaux of the University of Jyväskylä and Polytechnic University of Catalonia (Barcelona Tech) and the second conference, "Optimization and PDEs with Applications" celebrated the seventy-fifth birthday of Professor Roland Glowinski of the University of Houston. This work should be of interest to researchers and practitioners as well as advanced students or engineers in computational and applied mathematics or mechanics.
Modeling, Simulation and Optimization of Complex Processes HPSC 2018: Proceedings of the 7th International Conference on High Performance Scientific Computing, Hanoi, Vietnam, March 19-23, 2018
by Willi Jäger Hans Georg Bock Hoang Xuan Phu Ekaterina KostinaThis proceedings volume highlights a selection of papers presented at the 7th International Conference on High Performance Scientific Computing, which took place in Hanoi, Vietnam, during March 19-23, 2018. The conference has been organized by the Institute of Mathematics of the Vietnam Academy of Science and Technology, the Interdisciplinary Center for Scientific Computing (IWR) of Heidelberg University and the Vietnam Institute for Advanced Study in Mathematics. The contributions cover a broad, interdisciplinary spectrum of scientific computing and showcase recent advances in theory, methods, and practical applications. Subjects covered include numerical simulation, methods for optimization and control, machine learning, parallel computing and software development, as well as the applications of scientific computing in mechanical engineering, airspace engineering, environmental physics, decision making, hydrogeology, material science and electric circuits.
Modeling, Simulation and Optimization: Proceedings of CoMSO 2020 (Smart Innovation, Systems and Technologies #206)
by Valentina Emilia Balas Sivaji Bandyopadhyay Ripon Patgiri Biplab DasThis book includes selected peer-reviewed papers presented at the International Conference on Modeling, Simulation and Optimization, organized by National Institute of Technology, Silchar, Assam, India, during 3–5 August 2020. The book covers topics of modeling, simulation and optimization, including computational modeling and simulation, system modeling and simulation, device/VLSI modeling and simulation, control theory and applications, modeling and simulation of energy system and optimization. The book disseminates various models of diverse systems and includes solutions of emerging challenges of diverse scientific fields.
Modeling, Simulation and Optimization: Proceedings of CoMSO 2021 (Smart Innovation, Systems and Technologies #292)
by Valentina Emilia Balas Sivaji Bandyopadhyay Ripon Patgiri Biplab DasThis book includes selected peer-reviewed papers presented at the International Conference on Modeling, Simulation and Optimization (CoMSO 2021), organized by National Institute of Technology, Silchar, Assam, India, during December 16–18, 2021. The book covers topics of modeling, simulation and optimization, including computational modeling and simulation, system modeling and simulation, device/VLSI modeling and simulation, control theory and applications, modeling and simulation of energy systems and optimization. The book disseminates various models of diverse systems and includes solutions of emerging challenges of diverse scientific fields.
Modeling, Simulation and Optimization: Proceedings of CoMSO 2022 (Smart Innovation, Systems and Technologies #373)
by Valentina Emilia Balas Sukanta Roy Sivaji Bandyopadhyay Ripon Patgiri Biplab DasThis book includes selected peer-reviewed papers presented at the International Conference on Modeling, Simulation and Optimization (CoMSO 2022), organized by National Institute of Technology, Silchar, Assam, India, during December 21–23, 2022. The book covers topics of modeling, simulation, and optimization, including computational modeling and simulation, system modeling and simulation, device/VLSI modeling and simulation, control theory and applications, and modeling and simulation of energy systems and optimization. The book disseminates various models of diverse systems and includes solutions of emerging challenges of diverse scientific fields.
Modeling, Simulation, and Optimization of Supercritical and Subcritical Fluid Extraction Processes
by Zainuddin A. Manan Gholamreza Zahedi Ana Najwa MustapaThis book provides a complete guide on tools and techniques for modeling of supercritical and subcritical fluid extraction (SSFE) processes and phenomena. It provides details for SSFE from managing the experiments to modeling and optimization. It includes the fundamentals of SSFE as well as the necessary experimental techniques to validate the models. The optimization section includes the use of process simulators, conventional optimization techniques and state-of-the-art genetic algorithm methods. Numerous practical examples and case studies on the application of the modeling and optimization techniques on the SSFE processes are also provided. Detailed thermodynamic modeling with and without co-solvent and non equilibrium system modeling is another feature of the book.
Modeling, Synthesis and Fracture of Advanced Materials for Industrial and Medical Applications (Advanced Structured Materials #136)
by Holm Altenbach Victor Eremeyev Sergei M. Aizikovich Michael Vincent Swain Alexander GalybinThis book gathers papers presented at the international workshop PMSDAM’19. The respective contributions offer valuable insights for researchers working on numerical solutions to advanced materials problems. The problems concerning the remineralization of teeth are considered. Of particular interest are articles exploring topics at the interface of different disciplines.
Modellbasierte Produktentwicklung: Kundenbedürfnisse verstehen und tradierte Denkstile überwinden (essentials)
by Werner EngelnWas sind die Ursachen dafür, dass mit viel Aufwand entwickelte Produkte im Markt scheitern? Die Produkte wurden an den Bedürfnissen der Kunden*innen vorbei entwickelt. Aber kein Unternehmen wird bewusst an den Kundenbedürfnissen vorbei entwickeln. Das vorliegende Buch befasst sich mit der Frage, wie objektiv eigentlich die Bedürfnisse von Kunden*innen ihren Weg in die Entwicklungsorganisation eines Unternehmens finden können und wie objektive sie dort in ein Produkt umgesetzt werden können. Ausgehend von Antworten auf diese Frage wird ein Ansatz entwickelt, mit Hilfe physischer Modelle eine frühzeitige Wahrnehmung der Produktattribute durch Kunden*innen zu ermöglichen, so deren Bedürfnisse genauer zu treffen und damit die Erfolgswahrscheinlichkeit der Produkte im Markt zu verbessern.
Modellbasierte virtuelle Produktentwicklung
by Martin Eigner, Daniil Roubanov and Radoslav ZafirovEine innovative interdisziplinäre Produktentwicklung erfordert das Überdenken heutiger Methoden, Prozesse, IT-Lösungen und Organisationsformen. In diesem Buch wird anhand eines zentralen Beispiels das interdisziplinäre Vorgehen zur modellbasierten Entwicklung mechatronischer Systeme am erweiterten V-Modell beschrieben. Dabei werden bestehende disziplinspezifische und disziplinübergreifende Konstruktionsmethoden berücksichtigt. Die durchgängige Nutzung digitaler Modelle wird in den Phasen des Requirements Engineerings, der interdisziplinären Systemmodellbildung, der disziplinspezifischen Detailentwicklung sowie der digitalen Fabrikplanung veranschaulicht. Weiterhin werden die Ausgestaltung und Steuerung von Entwicklungsprozessen über Prozessmodelle adressiert. Zentrale Faktoren in der Entwicklung, wie Produktkomplexität, Humanfaktoren und Nachhaltigkeit werden darüber hinaus beleuchtet. Der Nutzen des Modelleinsatzes über den Produktentwicklungsprozess hinaus wird damit herausgestellt.
Modellbildung und Simulation der Dynamik von Kraftfahrzeugen
by Dieter Schramm Manfred Hiller Roberto BardiniDas Buch beschreibt die Grundlagen der Dynamik von Kraftfahrzeugen und die mathematische Modellierung von Einspurmodellen bis hin zu komplexen, räumlichen Mehrkörpermodellen. Ein besonderer Fokus liegt auf dem Prozess der Modellerstellung vom realen Fahrzeug bis hin zum mathematischen Modell sowie auf der Validierung der Ergebnisse. Ausgewählte Anwendungsszenarien erläutern die behandelten Grundlagen. Der Leser lernt, eigene Simulationsmodelle zu entwickeln, kommerzielle Simulationsprogramme einzusetzen, eine geeignete Modellierung auszuwählen und die Ergebnisse von Simulationen zu bewerten. In der zweiten Auflage wurden neben einzelnen Korrekturen und Klarstellungen eine Reihe von Anwendungsbeispielen aktualisiert und ergänzt.
Modellbildung und Simulation der Dynamik von Kraftfahrzeugen
by Dieter Schramm Manfred Hiller Roberto BardiniDas Buch beschreibt die Grundlagen der Dynamik von Kraftfahrzeugen und die mathematische Modellierung von Einspurmodellen bis hin zu komplexen, räumlichen Mehrkörpermodellen. Ein besonderer Fokus liegt auf dem Prozess der Modellerstellung vom realen Fahrzeug bis hin zum mathematischen Modell sowie auf der Validierung der Ergebnisse. Ausgewählte Anwendungsszenarien erläutern die behandelten Grundlagen. Der Leser lernt, eigene Simulationsmodelle zu entwickeln, kommerzielle Simulationsprogramme einzusetzen, eine geeignete Modellierung auszuwählen und die Ergebnisse von Simulationen zu bewerten.Neben einigen Korrekturen wurden für die vorliegende dritte Auflage weitere Anwendungsbeispiele für Standardfahrmanöver ergänzt. Um dem sowohl in der Forschung, gerade aber auch in der industriellen Anwendung verstärkten Einsatz von Fahrsimulatoren Rechnung zu tragen, wurde ein neuer Abschnitt zu den Themen Konzeption, Implementierung und Anwendung von Fahrsimulatoren ergänzt.Die ZielgruppenDas Buch wendet sich sowie an Entwicklungsingenieure, die Aufgaben im Bereich der Fahrzeugdynamik bearbeiten und an Studierende der Ingenieur- und Naturwissenschaften, die sich im Rahmen Ihres Studiums mit Themenstellungen der Fahrzeugdynamik beschäftigen.
Modellierung komplexer Prozesse durch naturanaloge Verfahren: Künstliche Intelligenz und Künstliches Leben
by Jürgen Klüver Christina Klüver Jörn SchmidtDieses Buch ist eine Einführung in naturanaloge Techniken und verwandte formale Methoden. Zu jeder Technik werden Anwendungsbeispiele gegeben. Dargestellt werden Zellularautomaten und Boolesche Netze, Evolutionäre Algorithmen sowie Simulated Annealing, Fuzzy-Methoden, Neuronale Netze und schließlich Hybride Systeme, d.h. Koppelungen verschiedener dieser Techniken. Auf der Basis der Theorie komplexer dynamischer Systeme werden zusätzlich theoretische Grundlagen dargestellt und es wird auf die Gemeinsamkeiten der auf einen ersten Blick sehr heterogenen Techniken hingewiesen. Die aktuelle Auflage wurde vollständig überarbeitet und erweitert.
Modellierung komplexer Prozesse durch naturanaloge Verfahren: Künstliche Intelligenz und Künstliches Leben
by Jürgen Klüver Christina Klüver Jörn SchmidtDieses Buch ist eine Einführung in naturanaloge Techniken und verwandte formale Methoden. Zu jeder Technik werden Anwendungsbeispiele gegeben. Dargestellt werden Zellularautomaten und Boolesche Netze, Evolutionäre Algorithmen sowie Simulated Annealing, Fuzzy-Methoden, Neuronale Netze und schließlich Hybride Systeme, d.h. Koppelungen verschiedener dieser Techniken. Auf der Basis der Theorie komplexer dynamischer Systeme werden zusätzlich theoretische Grundlagen dargestellt und es wird auf die Gemeinsamkeiten der auf einen ersten Blick sehr heterogenen Techniken hingewiesen. Die Auflage wurde überarbeitet und erweitert mit aktuellen Trends wie ChatGPT.
Modellierung logistischer Systeme (Fachwissen Logistik Ser.)
by Horst TempelmeierIn diesem Band wird die Simulation von Logistiksystemen (Supply Chains) als häufig in der Praxis eingesetzte Methode zur Absicherung von Entscheidungen über Systemstrukturen und logistischen Prozessen ausführlich dargestellt. Darüberhinaus wird ein Überblick über die Möglichkeiten der Nutzung von Auktionen in logistischen Systemen vermittelt. Schließlich werden Strukturen von Informationssystemen in der Logistik beschrieben.
Modellierung und Python-Simulation von Magneten für Anwendungen in der Leistungselektronik
by Shivkumar V. IyerDieses Buch beschreibt die Rolle des Magnetismus in der Elektrotechnik, ausgehend von den grundlegendsten physikalischen Gesetzen, die in Simulationsmodelle umgewandelt wurden. Dadurch können Elektrotechnikstudierende durch Beispiele und Übungen lernen. Der Autor entmystifiziert ein Thema, das viele Elektroingenieure als selbstverständlich betrachten, und gibt den Lesern Werkzeuge an die Hand, um zu verstehen, wie jede magnetische Komponente funktioniert. Er beschreibt magnetische Bauteile wie Induktoren und Transformatoren in einfach verständlicher Sprache. Mathematische Gleichungen im Zusammenhang mit den grundlegenden physikalischen Gesetzen werden im Detail erläutert, ebenso wie die physikalische Bedeutung der Gleichungen. Jede Anwendung wird durch eine Simulation unterstützt. Alle Simulationen werden unter Verwendung kostenloser und quelloffener Software auf Python-Basis durchgeführt, was den Inhalt dieses Buches universell zugänglich macht.
Modellierung, Analyse und Simulation elektrischer und mechanischer Systeme mit Maple™ und MapleSim™: Anwendung in Elektrotechnik, Mechanik und Antriebstechnik
by Rolf MüllerDieses Lehrbuch vermittelt Grundwissen zur Lösung von Problemen der Elektrotechnik, der Antriebstechnik und der Mechatronik mit Hilfe des mathematischen Expertensystems Maple™ und des objektorientierten Simulationssystems MapleSim™. Der Autor stellt zunächst Maple™ in konzentrierter Form vor. Danach geht er ausführlich auf die Ermittlung analytischer und numerischer Lösungen von Differentialgleichungen mit Maple™ ein. Der Modellierung und Analyse elektrischer und mechanischer Systeme mit Unterstützung durch Maple™ sowie komplexeren Anwendungsbeispielen sind die folgenden Kapitel des Buches gewidmet. Ausführlich beschrieben werden auch das objektorientierte Modellieren und Simulieren mit MapleSim™ und die Zusammenarbeit von Maple™ mit MapleSim™, Matlab™ und Scilab™.
Modelling Approaches to Understand Salinity Variations in a Highly Dynamic Tidal River: The Case of the Shatt al-Arab River (IHE Delft PhD Thesis Series)
by Ali Dinar AbdullahThis book reports the first systematic monitoring and modelling study on water availability, water quality and seawater intrusion of the Shatt al-Arab River (SAR) on the border of Iraq and Iran, where causes and concentration levels of salinity have not yet been fully understood, let alone addressed, leading to conflicting perceptions of its origin (external or internal), the natural conditions and the practices that can explain the current critical conditions. Current scientific knowledge on the SAR salinity problem is deficient, partially due to the complex and dynamic interaction between marine and terrestrial salinity sources, including return flows by water users of the different water sectors in the Euphrates and Tigris rivers upstream of the SAR. The development of a new series of monitoring stations and various modelling approaches helped to better understand the interactions between these different sources. The comprehensive and detailed dataset formed the basis for a validated analytical model that can predict the extent of seawater relative to other salinity sources in an estuary, and for a hydrodynamic model that can predict salinity changes. The adaptability of the models to changing conditions makes them directly applicable by water managers. The procedure can be applied to other comparable systems.