Hybrid Renewable Energy Systems for Remote Telecommunication Stations

Inbunden, Engelska, 2021

Av Adel A. Elbaset, Salah Ata

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This book looks at the challenge of providing reliable and cost-effective power solutions to expanding communications networks in remote and rural areas where grid electricity is limited or not available. It examines the use of renewable energy systems to provide off-grid remote electrification from a variety of resources, including regenerative fuel cells, ultracapacitors, wind energy, and photovoltaic power systems, and proposes a powerful hybrid system that can replace the need and high operation costs of batteries and diesel powered electric generators.Analyzes types of communications stations and their rate of consumption of electrical power;Presents brief descriptions of various types of renewable energy;Investigates renewable energy systems as a source for powering communication stations.

Produktinformation

Utgivningsdatum2021-02-18
Mått155 x 235 x undefined mm
FormatInbunden
SpråkEngelska
Antal sidor196
FörlagSpringer Nature Switzerland AG
ISBN9783030663438

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Adel A. Elbaset, PhD, is currently an Associate Professor in power electronics in the Faculty of Engineering, Minia University, where he has been a faculty member since 1996 and is Executive Manager of the Advanced Lab for Electric Power Systems. He received his BS, MSc, and PhD from from the Department of Electrical Engineering, Minia University. Dr. Elbaset's research interests are in the areas of renewable energy sources, power electronics, power system protection and control, power quality and harmonics, neural network, and fuzzy systems. He is the author of six previous books. Salah I. H. Ata is a senior operation and maintenance engineer with Telecom Egypt. He received his B.S., M.Sc., and Ph.D. from Faculty of Engineering, Department of Electrical Engineering, Minia University, Egypt. His research interests are in the areas of renewable energy sources, power electronics, power system protection and control, power quality and harmonics, neural network, and fuzzy systems.