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This book is a printed edition of the Special Issue “Energy Harvesters and Self-Powered Sensors for Smart Electronics” that was published in Micromachines, which showcases the rapid development of various energy harvesting technologies and novel devices. In the current 5G and Internet of Things (IoT) era, energy demand for numerous and widely distributed IoT nodes has greatly driven the innovation of various energy harvesting technologies, providing key functionalities as energy harvesters (i.e., sustainable power supplies) and/or self-powered sensors for diverse IoT systems. Accordingly, this book includes one editorial and nine research articles to explore different aspects of energy harvesting technologies such as electromagnetic energy harvesters, piezoelectric energy harvesters, and hybrid energy harvesters. The mechanism design, structural optimization, performance improvement, and a wide range of energy harvesting and self-powered monitoring applications have been involved. This book can serve as a guidance for researchers and students who would like to know more about the device design, optimization, and applications of different energy harvesting technologies.

Information technology industries --- energy harvesting --- vibration --- broadband --- resonant frequency --- piezoelectric vibration energy harvester --- low frequency --- wideband --- modeling --- energy harvester --- temperature threshold --- piezoelectricity --- vibrational cantilever --- bimetallic effect --- piezoelectric --- optimization --- pattern search --- FEM --- PZT --- electromagnetic --- hybrid energy harvester --- power density improvement --- piezoelectric energy harvester --- tandem --- vortex-induced vibration --- flowing water --- vibration energy harvesting --- electromagnetic generator (EMG) --- nonlinear --- magnetic coupling --- high performance --- diamagnetically stabilized levitation --- Taguchi method --- stable levitation --- maximum gap --- electromagnetic energy harvester --- human body kinetic energy --- energy harvesting --- vibration --- broadband --- resonant frequency --- piezoelectric vibration energy harvester --- low frequency --- wideband --- modeling --- energy harvester --- temperature threshold --- piezoelectricity --- vibrational cantilever --- bimetallic effect --- piezoelectric --- optimization --- pattern search --- FEM --- PZT --- electromagnetic --- hybrid energy harvester --- power density improvement --- piezoelectric energy harvester --- tandem --- vortex-induced vibration --- flowing water --- vibration energy harvesting --- electromagnetic generator (EMG) --- nonlinear --- magnetic coupling --- high performance --- diamagnetically stabilized levitation --- Taguchi method --- stable levitation --- maximum gap --- electromagnetic energy harvester --- human body kinetic energy

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• Reference Manager
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This book is a printed edition of the Special Issue “Energy Harvesters and Self-Powered Sensors for Smart Electronics” that was published in Micromachines, which showcases the rapid development of various energy harvesting technologies and novel devices. In the current 5G and Internet of Things (IoT) era, energy demand for numerous and widely distributed IoT nodes has greatly driven the innovation of various energy harvesting technologies, providing key functionalities as energy harvesters (i.e., sustainable power supplies) and/or self-powered sensors for diverse IoT systems. Accordingly, this book includes one editorial and nine research articles to explore different aspects of energy harvesting technologies such as electromagnetic energy harvesters, piezoelectric energy harvesters, and hybrid energy harvesters. The mechanism design, structural optimization, performance improvement, and a wide range of energy harvesting and self-powered monitoring applications have been involved. This book can serve as a guidance for researchers and students who would like to know more about the device design, optimization, and applications of different energy harvesting technologies.

energy harvesting --- vibration --- broadband --- resonant frequency --- piezoelectric vibration energy harvester --- low frequency --- wideband --- modeling --- energy harvester --- temperature threshold --- piezoelectricity --- vibrational cantilever --- bimetallic effect --- piezoelectric --- optimization --- pattern search --- FEM --- PZT --- electromagnetic --- hybrid energy harvester --- power density improvement --- piezoelectric energy harvester --- tandem --- vortex-induced vibration --- flowing water --- vibration energy harvesting --- electromagnetic generator (EMG) --- nonlinear --- magnetic coupling --- high performance --- diamagnetically stabilized levitation --- Taguchi method --- stable levitation --- maximum gap --- electromagnetic energy harvester --- human body kinetic energy --- n/a

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Renewable energy deployment as an alternative to traditional energy sources is the cornerstone of the emission-reduction energy policies that aim to facilitate the transition to a low-carbon economy. This transition poses risks and opportunities for companies with business models that rely directly or indirectly on renewables, which will be reflected in the revaluation of assets and in the reallocation of private and public financial investments from carbon-intensive to low-carbon energies. In a series of selected articles, this book addresses current challenges and opportunities for renewable energies from technological, economic and financial perspectives.

Research & information: general --- day-ahead market --- balancing market --- gate closure --- forecast uncertainty --- wind power forecast --- agent-based simulation --- the MATREM system --- drying --- solar energy --- sustainable processing --- energy efficiency --- global heat production --- energy market --- energy conversion --- electricity --- carbon trading --- palm oil producer --- renewable energy --- economy --- sustainable development --- clean development mechanism --- Sustainable Development Goals (SDGs) --- Malaysia --- energy planning --- Modern Portfolio Theory (MPT) --- Capital Asset Pricing Model (CAPM) --- low-carbon economy --- renewable energy deployment --- environmental efficiency --- pumped hydro storage --- wind farm --- simulated annealing --- genetic algorithm --- pattern search --- Matlab optimization toolbox --- economic and environment feasibility --- renewables --- low carbon --- interdependence --- copulas --- conditional quantiles --- liquefied natural gas --- cold energy --- regasification --- chilled water --- techno economic --- coevolution --- the fuel ethanol industry --- history-friendly model --- entry regulation --- ethanol mandate --- production subsidy --- R&amp --- D subsidy

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Induction machines are one of the most important technical applications for both the industrial world and private use. Since their invention (achievements of Galileo Ferraris, Nikola Tesla, and Michal Doliwo-Dobrowolski), they have been widely used in different electrical drives and as generators, thanks to their features such as reliability, durability, low price, high efficiency, and resistance to failure. The methods for designing and using induction machines are similar to the methods used in other electric machines but have their own specificity. Many issues discussed here are based on the fundamental achievements of authors such as Nasar, Boldea, Yamamura, Tegopoulos, and Kriezis, who laid the foundations for the development of induction machines, which are still relevant today. The control algorithms are based on the achievements of Blaschke (field vector-oriented control) and Depenbrock or Takahashi (direct torque control), who created standards for the control of induction machines. Today’s induction machines must meet very stringent requirements of reliability, high efficiency, and performance. Thanks to the application of highly efficient numerical algorithms, it is possible to design induction machines faster and at a lower cost. At the same time, progress in materials science and technology enables the development of new machine topologies. The main objective of this book is to contribute to the development of induction machines in all areas of their applications.

LIM --- slip frequency --- linear induction motor --- automatic train operation --- rotor field-oriented angle error --- indirect rotor field-oriented control --- induction machine drives --- model-based prediction --- linear induction motors --- finite element analysis --- end effect --- induction machines --- electrical machines --- thermal modeling --- soft magnetic material --- thermal conductivity --- induction motor --- solid rotor --- effective parameters --- finite element method --- modelling of ring induction motors --- Monte Carlo method --- accurate modelling --- induction machine --- electromagnetic models --- model selection --- optimization --- artificial neural networks --- pattern search --- evolutionary strategy --- simulated annealing --- artificial neural network --- fourth central moment --- homogeneity analysis --- induction motors --- mechanical unbalance --- one broken rotor bar --- outer-race bearing fault --- startup transient current --- two broken rotor bars --- three-phase induction motor --- squirrel-cage rotor --- energy efficiency --- motor performance --- n/a --- dynamic model --- Matlab/Simulink --- rotor winding --- stator winding

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Induction machines are one of the most important technical applications for both the industrial world and private use. Since their invention (achievements of Galileo Ferraris, Nikola Tesla, and Michal Doliwo-Dobrowolski), they have been widely used in different electrical drives and as generators, thanks to their features such as reliability, durability, low price, high efficiency, and resistance to failure. The methods for designing and using induction machines are similar to the methods used in other electric machines but have their own specificity. Many issues discussed here are based on the fundamental achievements of authors such as Nasar, Boldea, Yamamura, Tegopoulos, and Kriezis, who laid the foundations for the development of induction machines, which are still relevant today. The control algorithms are based on the achievements of Blaschke (field vector-oriented control) and Depenbrock or Takahashi (direct torque control), who created standards for the control of induction machines. Today’s induction machines must meet very stringent requirements of reliability, high efficiency, and performance. Thanks to the application of highly efficient numerical algorithms, it is possible to design induction machines faster and at a lower cost. At the same time, progress in materials science and technology enables the development of new machine topologies. The main objective of this book is to contribute to the development of induction machines in all areas of their applications.

Technology: general issues --- History of engineering & technology --- LIM --- slip frequency --- linear induction motor --- automatic train operation --- rotor field-oriented angle error --- indirect rotor field-oriented control --- induction machine drives --- model-based prediction --- linear induction motors --- finite element analysis --- end effect --- induction machines --- electrical machines --- thermal modeling --- soft magnetic material --- thermal conductivity --- induction motor --- solid rotor --- effective parameters --- finite element method --- modelling of ring induction motors --- Monte Carlo method --- accurate modelling --- induction machine --- electromagnetic models --- model selection --- optimization --- artificial neural networks --- pattern search --- evolutionary strategy --- simulated annealing --- artificial neural network --- fourth central moment --- homogeneity analysis --- induction motors --- mechanical unbalance --- one broken rotor bar --- outer-race bearing fault --- startup transient current --- two broken rotor bars --- three-phase induction motor --- squirrel-cage rotor --- energy efficiency --- motor performance --- dynamic model --- Matlab/Simulink --- rotor winding --- stator winding --- LIM --- slip frequency --- linear induction motor --- automatic train operation --- rotor field-oriented angle error --- indirect rotor field-oriented control --- induction machine drives --- model-based prediction --- linear induction motors --- finite element analysis --- end effect --- induction machines --- electrical machines --- thermal modeling --- soft magnetic material --- thermal conductivity --- induction motor --- solid rotor --- effective parameters --- finite element method --- modelling of ring induction motors --- Monte Carlo method --- accurate modelling --- induction machine --- electromagnetic models --- model selection --- optimization --- artificial neural networks --- pattern search --- evolutionary strategy --- simulated annealing --- artificial neural network --- fourth central moment --- homogeneity analysis --- induction motors --- mechanical unbalance --- one broken rotor bar --- outer-race bearing fault --- startup transient current --- two broken rotor bars --- three-phase induction motor --- squirrel-cage rotor --- energy efficiency --- motor performance --- dynamic model --- Matlab/Simulink --- rotor winding --- stator winding