Smart Energy Control Systems for Sustainable Buildings, John Littlewood; Catalina Spataru; Robert J. Howle

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: Fausto Cavallaro
Название: Assessment and Simulation Tools for Sustainable Energy Systems
ISBN: 1447151429 ISBN-13(EAN): 9781447151425
Издательство: Springer
Рейтинг:
Цена: 148020.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers both simulations using markal model and linear programming (LP) and methods and applications of multi-criteria, fuzzy-sets, algorithm genetics and neural nets (artificial intelligence) to energy systems.

Автор: Ibrahim Dincer; Calin Zamfirescu
Название: Sustainable Energy Systems and Applications
ISBN: 1489977767 ISBN-13(EAN): 9781489977762
Издательство: Springer
Рейтинг:
Цена: 78350.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the first comprehensive textbook on sustainable energy. It includes study problems, illustrative examples, case studies, practical applications, and a solutions manual for faculty. This research-based textbook also includes some cutting-edge topics.

Автор: Fausto Cavallaro
Название: Assessment and Simulation Tools for Sustainable Energy Systems
ISBN: 1447157966 ISBN-13(EAN): 9781447157960
Издательство: Springer
Рейтинг:
Цена: 121890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers both simulations using markal model and linear programming (LP) and methods and applications of multi-criteria, fuzzy-sets, algorithm genetics and neural nets (artificial intelligence) to energy systems.

Автор: N. Afgan; Maria da Graca Carvalho
Название: Sustainable Assessment Method for Energy Systems
ISBN: 1461370183 ISBN-13(EAN): 9781461370185
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Sustainable Assessment Method for Energy Systems provides the reader with a new method for energy system evaluation. Sustainable Assessment Method for Energy Systems offers a new methodology based on multi-criteria indicators for the evaluation of energy as a system.

Автор: Ali Sayigh
Название: Photovoltaics for Sustainable Electricity and Buildings
ISBN: 3319392786 ISBN-13(EAN): 9783319392783
Издательство: Springer
Рейтинг:
Цена: 102480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This leading-edge volume on advances in photovoltaic technology features diverse contributions from experts in every major geographic PV market. It examines emerging applications such as electricity grid load-balancing and demand- response, PV storage systems, photovoltaic/thermal solar collectors and carbon-offset in buildings. Engineers, researchers, developers and students alike will find new avenues for exploration and fresh insights into this continually evolving field.Highlights the most recent advances in Photovoltaics, from Next-Gen Storage Systems to Bifacial PV/T Solar Collectors;Provides expert insights on the recent evolution and near future of PV markets around the globe;Covers applications from grid-tied storage and power generation to green buildings.

Автор: Jo?o M. Lemos; Rui Neves-Silva; Jos? M. Igreja
Название: Adaptive Control of Solar Energy Collector Systems
ISBN: 3319068520 ISBN-13(EAN): 9783319068527
Издательство: Springer
Рейтинг:
Цена: 102480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Adaptive Control of Solar Energy Collector Systems

Автор: Jo?o M. Lemos; Rui Neves-Silva; Jos? M. Igreja
Название: Adaptive Control of Solar Energy Collector Systems
ISBN: 331938015X ISBN-13(EAN): 9783319380155
Издательство: Springer
Рейтинг:
Цена: 95770.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Solar Energy Collector Systems.- Models and Dynamics.- Predictive Adaptive Control with Linear Models.- Multiple-Model Adaptive Control.- Nonlinear Predictive Control.- Nonlinear Adaptive Control.- Flatness-Based Methods.- Appendices: Nomenclature; Solution of the DCSF PDE; Recursive Least Squares Deduction; MUSMAR as a Newton Minimization Algorithm; Derivation of the MUSMAR Dual Algorithm; Warped Time Optimization; Characterization of the Eigenvalues of the Linearized Tracking Dynamics; Stability of a Time-Varying Systems.

Автор: Ruzhu Wang; Xiaoqiang Zhai
Название: Handbook of Energy Systems in Green Buildings
ISBN: 3662491192 ISBN-13(EAN): 9783662491195
Издательство: Springer
Рейтинг:
Цена: 652180.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This handbook provides a comprehensive summary on the energy systems used in green buildings, with a particular focus on solar energy - the most common renewable energy source applied in this field. With the growing concern about environmental protections, the concepts of green building have been widely promoted and implemented in nowadays building designs and constructions. Among all, sustainable energy systems, including energy harvesting, conversion, and storage, is one of most important design factors in green buildings. Unlike traditional energy systems which highly rely on fossil fuel, green buildings utilize renewable energy source or high efficient energy systems, or both, to provide environmental friendly, low carbon waste energy. The most updated concepts, designs, technologies developed and implemented in heat pumps, cooling systems, power systems, and energy storage will be discussed here in details.This handbook is subdivided into 7-9 main sections to provide an in-depth discussion from foundational principles to practical techniques. In addition, different cases about green energy systems implemented in global will be discussed. The book will be structured easy-to-read, to make it more accessible to graduate students and professionals in diverse scientific and engineering communities, including applied physics, civil engineering, electrical engineering, mechanical engineering, material engineering, and chemical engineering.