9783032195883 - energy storage for renewable energy systems: modeling, control, and ai integration (green energy and technology) von rekioua, djamila (2 Ergebnisse)

Sprache: Englisch
Verlag: Springer Nature Switzerland Ag, 2026
- Hardcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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EUR 126,51
EUR 11,70 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
Hardcover. Zustand: Brand New. 220 pages. 6.30x0.71x9.49 inches. In Stock.

Sprache: Englisch
Verlag: Springer, 2026
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 90,34
EUR 62,52 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explains single storage and multi-storage systems within the context of renewable energy applications and covers the latest developments. In renewable energy systems, energy storage plays a pivotal role in ensuring reliability, efficiency, and gri…d stability, particularly due to the intermittent and unpredictable nature of renewable sources such as solar and wind. The integration of storage solutions enables excess energy produced during peak generation periods to be stored and used later during periods of low generation, thereby mitigating supply-demand mismatches and enhancing overall system performance. The choice between these storage architectures depends on various factors including grid requirements, load profiles, economic constraints, and the nature of the renewable energy source. As renewable energy continues to expand globally, intelligent storage design and control have become essential to ensure optimal integration into power systems.Through eleven well-structured chapters, this book offers a comprehensive and multidisciplinary exploration of energy storage in renewable energy systems. It spans from fundamental concepts and modeling techniques to advanced control strategies and artificial intelligence applications, making it a valuable resource for students, researchers, and engineers involved in the field of renewable energy and smart grid technologies.