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Optimization of the Fuel Cell Renewable Hybrid Power Systems (Hardcover, 1st ed. 2020) Loot Price: R3,659
Discovery Miles 36 590
Optimization of the Fuel Cell Renewable Hybrid Power Systems (Hardcover, 1st ed. 2020): Nicu Bizon

Optimization of the Fuel Cell Renewable Hybrid Power Systems (Hardcover, 1st ed. 2020)

Nicu Bizon

Series: Green Energy and Technology

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Loot Price R3,659 Discovery Miles 36 590 | Repayment Terms: R343 pm x 12*

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This book offers a comprehensive review of renewable energy sources and optimization strategies in hybrid power systems (HPSs). It analyses the main issues and challenges in the renewable (REW) HPS field, particularly those using fuel cell (FC) systems as their main source of energy. It then offers innovative solutions to these issues, comparing them to solutions currently found in the literature. The book discusses optimization algorithms and energy management strategies. The focus is chiefly on FC net power maximization and fuel economy strategies based on global optimization. The last two chapters discuss energy harvesting from photovoltaic systems and how to mitigate energy variability in REW FC HPS. The main content is supplemented by numerous examples and simulations. Academics, students and practitioners in relevant industrial branches interested in REW HPS finds it of considerable interest, as a reference book or for building their own HPSs based on the examples provided.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Green Energy and Technology
Release date: February 2020
First published: 2020
Authors: Nicu Bizon
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 336
Edition: 1st ed. 2020
ISBN-13: 978-3-03-040240-2
Categories: Books > Professional & Technical > Energy technology & engineering > Alternative & renewable energy sources & technology
Books > Earth & environment > The environment > Environmental economics > General
Books > Professional & Technical > Mechanical engineering & materials > Materials science > General
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LSN: 3-03-040240-1
Barcode: 9783030402402

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