Optimization of the Fuel Cell Renewable Hybrid Power Systems / by Nicu Bizon.

By:

Bizon, Nicu [VerfasserIn]

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Green Energy and TechnologyPublisher: Cham : Springer International Publishing, 2020Publisher: Cham : Imprint: Springer, 2020Edition: 1st ed. 2020Description: 1 Online-Ressource(XIX, 336 p. 258 illus., 85 illus. in color.)ISBN:

9783030402419

Subject(s):

Additional physical formats: 9783030402402 | 9783030402426 | 9783030402433 | Erscheint auch als: 9783030402402 Druck-Ausgabe | Erscheint auch als: 9783030402426 Druck-Ausgabe | Erscheint auch als: 9783030402433 Druck-AusgabeDOI: DOI: 10.1007/978-3-030-40241-9Online resources:

Summary: Introduction -- Hybrid Power Systems -- Optimization Algorithms and Energy Management Strategies -- Global Extremum Seeking Algorithms -- Fuel Cell Net Power Maximization Strategies -- Fuel Economy Maximization Strategies -- Energy Harvesting From the Photovoltaic Systems Partially Shaded -- Mitigation of Energy Variability in Renewable Fuel Cell Hybrid Power Systems.Summary: 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.PPN: PPN: 1691527343Package identifier: Produktsigel: ZDB-2-ENE | ZDB-2-SEB | ZDB-2-SXEN

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