Energy Storage for Renewable Energy Systems: Modeling, Control, and AI Integration: 48 (Green Energy and Technology) - Tapa dura

Acerca del autor

Ms. Rekioua Ziani Djamila is Professor at the University of Bejaia. She obtained her PhD in electrical engineering in 2002. She specializes in renewable energies. Her main work is focused on photovoltaic, hydrogen and wind turbine systems. Currently the team leader of Renewable Energies and Electrical Power Systems at the Research Excellence Laboratory (Industrial Technology and Information Laboratory) at the University of Bejaia, she has defended several Master's, MSc and PhD thesis and participated in several national and international scientific conferences. She has many publications and international scientific papers and has published four international books related to renewable energy (one of them has been translated into Chinese). She has received some awards and honors. She is ranked among the top 7 scientists in the field of engineering and technology in Algeria. And she is in the Stanford University's global ranking of the top 2% of researchers in the world since 2020. She is member lead author in IPCC special report on climate change and cities in chapter1: Cities in the context of climate change: framing of the report. Its interest in developing research on electrical systems based on renewable energy sources and mitigating the effects of climate change to achieve sustainable development.

De la contraportada

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 grid 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.