OWC-Based Ocean Wave Energy Plants: Modeling and Control, Mishra Sunil Kumar, Mohanta Dusmanta Kumar, Appasani Bhargav
Автор: Mishra Sunil Kumar, Mohanta Dusmanta Kumar, Appasani Bhargav Название: Owc-Based Ocean Wave Energy Plants: Modeling and Control ISBN: 9811598487 ISBN-13(EAN): 9789811598487 Издательство: Springer Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book discusses about the new techniques of power generation control of oscillating water column (OWC) using airflow control and maximum power point tracking of OWC using rotational speed control.
Автор: Samad Abdus, Sannasiraj S. A., Sundar V. Название: Ocean Wave Energy Systems: Hydrodynamics, Power Takeoff and Control Systems ISBN: 303078715X ISBN-13(EAN): 9783030787158 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book offers a timely review of wave energy and its conversion mechanisms. The book offers systematic and practice-oriented knowledge to students, researchers, and professionals in the wave energy sector. Chapters 17 of this book is available open access under a CC BY 4.0 license at link.springer.com
Название: Dynamic modeling, simulation and control of energy generation. ISBN: 1447153995 ISBN-13(EAN): 9781447153993 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book addresses the core issues involved in the dynamic modeling, simulation and control of a selection of energy systems such as gas turbines, wind turbines, fuel cells and batteries.
Автор: Nabil Derbel; Quanmin Zhu Название: Modeling, Identification and Control Methods in Renewable Energy Systems ISBN: 9811319448 ISBN-13(EAN): 9789811319440 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Most 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.
Автор: Ming Jun Tang Название: Modeling and Control Aspects of Wind Power Systems ISBN: 168117510X ISBN-13(EAN): 9781681175102 Издательство: Gazelle Book Services Рейтинг: Цена: 217350.00 T Наличие на складе: Невозможна поставка. Описание: Modeling and Control Aspects of Wind Power Systems emphasizes on recent development and progress of the wind energy conversion system. In recent years, the energy production by wind turbines has been increasing, because its production is environmentally friendly; therefore, the technology developed for the production of energy through wind turbines brings great challenges in the investigation. The processes of industrialization and economic development require energy. With the development of electric power, wind power found new applications in lighting buildings remote from centrally-generated power. Throughout the 20th century parallel paths developed small wind stations suitable for farms or residences, and larger utility-scale wind generators that could be connected to electricity grids for remote use of power. Today wind powered generators operate in every size range between tiny stations for battery charging at isolated residences, up to near-gigawatt sized offshore wind farms that provide electricity to national electrical networks. This book is focused on the recent advances of the wind turbine modeling with the aerodynamic power and the wind turbine control with the nonlinear, fuzzy, and predictive techniques. A wind energy conversion system, or wind energy harvester is a machine that, powered by the energy of the wind, generates mechanical energy that can be used to directly power machinery or to power an electrical generator for making electricity. The term can thus refer to windmills, windpumps as well as wind turbines. The conversion of the energy of the wind into more useful forms can be done using a rotor fitted with blades or sails. Wind energy is gaining increasing importance worldwide. The book covers topics on grid integration issues, modern control theories applied in wind energy conversion system, and dynamic and transient stability studies.
Автор: Ranjan Vepa Название: Dynamic Modeling, Simulation and Control of Energy Generation ISBN: 1447169573 ISBN-13(EAN): 9781447169574 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book addresses the core issues involved in the dynamic modeling, simulation and control of a selection of energy systems such as gas turbines, wind turbines, fuel cells and batteries.
Автор: McCool Название: Using the Weibull Distribution - Reliability, Modeling, and Inference ISBN: 1118217985 ISBN-13(EAN): 9781118217986 Издательство: Wiley Рейтинг: Цена: 116110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Understand and utilize the latest developments in Weibull inferential methods While the Weibull distribution is widely used in science and engineering, most engineers do not have the necessary statistical training to implement the methodology effectively.
Автор: Khare, Vikas Название: Ocean Energy Modeling And Simulation With Big Data ISBN: 0128189045 ISBN-13(EAN): 9780128189047 Издательство: Elsevier Science Рейтинг: Цена: 132500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Ocean Energy Modeling and Simulation with Big Data: Computational Intelligence for System Optimization and Grid Integration offers the fundamental and practical aspects of big data solutions applied to ocean and offshore energy systems. The book explores techniques for assessment of tidal, wave and offshore wind energy systems. It presents the use of data mining software to simulate systems and Hadoop technology to evaluate control systems. The use of Map Reduce algorithms in systems optimization is examined, along with the application of NoSQL in systems management. Actual data collection through web-based applications and social networks is discussed, along with practical applications of recommendations.
Автор: Korde Название: Hydrodynamic Control of Wave Energy Devices ISBN: 1107079705 ISBN-13(EAN): 9781107079700 Издательство: Cambridge Academ Рейтинг: Цена: 142560.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The appropriate design of wave energy device technology is crucial in the effort to make wave energy economic. This book shows how control techniques can be best applied to maximise converted power, while also considering the interplay with other design features, such as device geometry optimisation and array layout optimisation.
Автор: Hinton Kerry James, Ayre Robert, Cheong Jeffrey Название: Modeling the Power Consumption and Energy Efficiency of Telecommunications Networks ISBN: 0367254417 ISBN-13(EAN): 9780367254414 Издательство: Taylor&Francis Рейтинг: Цена: 168430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces the technical foundations and tools for estimating the power consumption of internet networks including a detailed description of how these models are constructed and applied.
Автор: Venkata Yaramasu, Bin Wu Название: Model Predictive Control of Wind Energy Conversion Systems ISBN: 1118988582 ISBN-13(EAN): 9781118988589 Издательство: Wiley Рейтинг: Цена: 125610.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Model Predictive Control of Wind Energy Conversion Systems addresses the predicative control strategy that has emerged as a promising digital control tool within the field of power electronics, variable-speed motor drives, and energy conversion systems.
The authors provide a comprehensive analysis on the model predictive control of power converters employed in a wide variety of variable-speed wind energy conversion systems (WECS). The contents of this book includes an overview of wind energy system configurations, power converters for variable-speed WECS, digital control techniques, MPC, modeling of power converters and wind generators for MPC design. Other topics include the mapping of continuous-time models to discrete-time models by various exact, approximate, and quasi-exact discretization methods, modeling and control of wind turbine grid-side two-level and multilevel voltage source converters. The authors also focus on the MPC of several power converter configurations for full variable-speed permanent magnet synchronous generator based WECS, squirrel-cage induction generator based WECS, and semi-variable-speed doubly fed induction generator based WECS. Furthermore, this book:
Analyzes a wide variety of practical WECS, illustrating important concepts with case studies, simulations, and experimental results
Provides a step-by-step design procedure for the development of predictive control schemes for various WECS configurations
Describes continuous- and discrete-time modeling of wind generators and power converters, weighting factor selection, discretization methods, and extrapolation techniques
Presents useful material for other power electronic applications such as variable-speed motor drives, power quality conditioners, electric vehicles, photovoltaic energy systems, distributed generation, and high-voltage direct current transmission.
Explores S-Function Builder programming in MATLAB environment to implement various MPC strategies through the companion website
Reflecting the latest technologies in the field, Model Predictive Control of Wind Energy Conversion Systems is a valuable reference for academic researchers, practicing engineers, and other professionals. It can also be used as a textbook for graduate-level and advanced undergraduate courses.
Автор: Meeker William Q. Название: Statistical Methods for Reliability Data ISBN: 1118115457 ISBN-13(EAN): 9781118115459 Издательство: Wiley Рейтинг: Цена: 121390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
An authoritative guide to the most recent advances in statistical methods for quantifying reliability
Statistical Methods for Reliability Data, Second Edition (SMRD2) is an essential guide to the most widely used and recently developed statistical methods for reliability data analysis and reliability test planning. Written by three experts in the area, SMRD2 updates and extends the long- established statistical techniques and shows how to apply powerful graphical, numerical, and simulation-based methods to a range of applications in reliability. SMRD2 is a comprehensive resource that describes maximum likelihood and Bayesian methods for solving practical problems that arise in product reliability and similar areas of application. SMRD2 illustrates methods with numerous applications and all the data sets are available on the book's website. Also, SMRD2 contains an extensive collection of exercises that will enhance its use as a course textbook.
The SMRD2's website contains valuable resources, including R packages, Stan model codes, presentation slides, technical notes, information about commercial software for reliability data analysis, and csv files for the 93 data sets used in the book's examples and exercises. The importance of statistical methods in the area of engineering reliability continues to grow and SMRD2 offers an updated guide for, exploring, modeling, and drawing conclusions from reliability data.
SMRD2 features:
Contains a wealth of information on modern methods and techniques for reliability data analysis
Offers discussions on the practical problem-solving power of various Bayesian inference methods
Provides examples of Bayesian data analysis performed using the R interface to the Stan system based on Stan models that are available on the book's website
Includes helpful technical-problem and data-analysis exercise sets at the end of every chapter
Presents illustrative computer graphics that highlight data, results of analyses, and technical concepts
Written for engineers and statisticians in industry and academia, Statistical Methods for Reliability Data, Second Edition offers an authoritative guide to this important topic.
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