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Wireless power transfer allows the transfer of energy from a transmitter to a receiver across an air gap, without any electrical connections. Technically, any device that needs power can become an application for wireless power transmission. The current list of applications is therefore very diverse, from low-power portable electronics and household devices to high-power industrial automation and electric vehicles. With the rise of IoT sensor networks and Industry 4.0, the presence of wireless energy transfer will only increase. In order to improve the current state of the art, models are being developed and tested experimentally. Such models allow simulating, quantifying, predicting, or visualizing certain aspects of the power transfer from transmitter(s) to receiver(s). Moreover, they often result in a better understanding of the fundamentals of the wireless link. This book presents a wonderful collection of peer-reviewed papers that focus on the modelling of wireless power transmission. It covers both inductive and capacitive wireless coupling and includes work on multiple transmitters and/or receivers.
resonance-based wireless power transfer (R-WPT) --- resonance frequency --- power transfer efficiency (PTE) --- 3-coil system --- steady-state matrix analysis --- Class-E power amplifier --- wireless power transfer (WPT) system --- output characteristics --- strength --- coupling coefficient --- impedance matrix --- multiple coils --- mutual inductance --- scattering matrix --- transfer impedance --- wireless power transfer --- design optimization --- finite element analysis --- gallium nitride --- gradient methods --- inductive power transmission --- power measurement --- transformer cores --- wireless charging --- circuit modeling --- numerical analysis --- capacitive wireless power transfer --- resonance --- power-transfer efficiency --- multiports --- multiple-input single-output --- wireless power transmission --- electric field --- shielded-capacitive power transfer --- design guidelines --- resonant --- inductive coupling --- optimal load --- single-input multiple-output --- power gain
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Climate change mitigation and adaptation are key challenges of the 21st century. These challenges include global energy consumption and dependence on fossil fuels, which are addressed in global energy policies. About two-thirds of global greenhouse gas emissions are linked to the burning of fossil fuels used for heating, electricity, transport, and industry. Therefore, the world is looking for the most reliable, cost-effective, and environmentally friendly energy sources coupled with energy saving, which is a clean and low-cost solution to the growing demand for energy. As a clear example of this, cities are integrating renewable energies into their smart city plans. This book aims to advance the contribution of the use of renewable energies and energy saving in order to achieve a more sustainable world.
BIPV window --- WWR --- overall energy --- tilt angle --- visual comfort --- energy saving --- semi-arid --- wind power generation --- artificial neural networks --- chargeability factor --- reactive power capacity --- wind speed and demand curves --- energy management systems --- multi-objective function --- optimal set-points --- stochastic optimization --- wind farm operation --- expert survey --- renewable energy --- biogas --- biomethane --- biogas plant --- business model --- political support system --- building performance --- value co-creation --- value add --- maintenance management --- hospital buildings --- optimal power flow --- power flow --- optimization algorithms --- DC networks --- electrical energy --- optimization --- willingness to pay --- minigrids --- rural electrification --- Ghana --- hospital building maintenance --- critical success factor --- value-based practices --- importance-performance matrix analysis --- renewable energy sources --- non-conventional renewable energy sources --- RES --- NCRES --- electric power system --- information environment --- n/a
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