Solar Energy - Technologies, Design, Modeling, and Economics (Hardcover, 1st ed. 2021)

This book opens with a brief introduction to renewable energy and the advantages of solar energy systems, an overview of concentrated solar power (CSP) system technologies and modeling, and the application of artificial neural network (ANN) technologies in various solar field systems. Later chapters cover data and operation methods of central tower receiver power plants (CTRPP), important models of ANN techniques used in solar energy fields, accurate methods for modeling CTRPP, the economics of solar energy systems, the CSP impacts on the penetration level of photovoltaic (PV) systems, and a look at the reliability of systems using case studies on PV systems and hybrid PV and CSP systems. Provides an introduction to renewable energy and the advantages of solar energy systems Outlines methods for modeling central tower receiver power plants Includes case studies on photovoltaic (PV) and hybrid PV and concentrated solar power systems

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Power Systems
Release date:	November 2020
First published:	2021
Authors:	Ibrahim Moukhtar • Adel Z. El Dein • Adel A. Elbaset • Yasunori Mitani
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	140
Edition:	1st ed. 2021
ISBN-13:	978-3-03-061306-8
Categories:	Books > Professional & Technical > Energy technology & engineering > Alternative & renewable energy sources & technology Promotions
LSN:	3-03-061306-2
Barcode:	9783030613068

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