Performance Enhancement and Control of Photovoltaic Systems -

Performance Enhancement and Control of Photovoltaic Systems

Buch | Softcover
452 Seiten
2024
Elsevier - Health Sciences Division (Verlag)
978-0-443-13392-3 (ISBN)
169,95 inkl. MwSt
Performance Enhancement and Control of Photovoltaic Systems brings together the latest advances in photovoltaic control and integration, with various embedded technologies applied to standalone and grid connected systems in normal and abnormal operating conditions, with new approaches intended to overcome a number of critical limitations in using PV technology. The book begins by introducing modern photovoltaic (PV) systems, system integration, materials, and thermodynamic analysis for improved performance, before examining applications in industrial processes, artificial neural network technology, and economic analysis of PV systems. In-depth chapters then demonstrate the use of advanced control and optimization techniques, covering the use of new embedded technologies, through different applications such as MPPT controllers, solar trackers, cleaning systems, cooling systems, and monitoring systems. Applications of photovoltaic energy systems in distributed generation, microgrid, and smart grid systems will be considered.

Dr. Motahhir acquired practical/industry expertise as an Embedded System Engineer at Zodiac Aerospace Morocco, where he worked from 2014 to 2019. In his role, he was involved in the development of UC/OS-II based embedded software using C and Model-Based Design (Scade), embedded software testing, and validation of embedded software requirements and architecture. He worked with various tools and standards (such as IBM RTRT, SCADE, IBM Synergy/Change, SlickEdit, Trace 32, Diab, DO-178 B/C, and V-Cycle) and his expertise extended to Power PC (MPC 5566) with applications in aircraft such as Boeing 777x, E2 Embraer, A320 NEO, and Bombardier G7000. Recently transitioning to academia, Dr. Motahhir is now a Full Professor at École Nationale des Sciences Appliquées, Sidi Mohamed Ben Abdellah University, Fez, Morocco. He earned an engineering degree in Embedded Systems in 2014 and a PhD in Electrical Engineering in 2018, both from Sidi Mohamed Ben Abdellah University. Dr. Motahhir holds multiple patents registered with the Moroccan Office of Industrial and Commercial Property. He is also an accomplished book editor and has served as a guest editor for different special issues and topical collections. Dr. Motahhir actively contributes to the academic community as a reviewer or as a member of various journals’ editorial boards; additionally, he holds the position of Conference Co-chair for the International Conference on Digital Technologies and Applications and is a member of the Arab Youth Center Council. Mamdouh El Haj Assad is a Professor in the Department of Sustainable and Renewable Energy Engineering, University of Sharjah, Sharjah, UAE. He was previously an Associate Professor at the Australian College of Kuwait, and a Researcher at Aalto University, Finland. Prof. El Haj Assad’s research interests include thermodynamics, heat transfer, energy conversion systems, and photovoltaics.

1. Overview of modern photovoltaic systems
2. Recent materials for enhancing PV performance
3. Thermodynamic analysis of PV systems
4. Applications of PV system in industrial processes
5. Artificial neural networks for PV technology
6. Economic analysis of PV systems
7. Hydrogen industrial applications, safety and security, and PV systems
8. Embedded control for solar photovoltaic energy systems
9. Global modern maximum power point tracker applied implementation using embedded systems 10. Design and embedded control using processor in the loop for IM driven solar PV fed water pumping systems
11. Optimization and assessment of floating photovoltaic systems using embedded systems
12. Photovoltaic solar tracker systems using embedded systems
13. Intelligent cleaning system for removal of sand from solar panels using embedded systems

Erscheinungsdatum
Verlagsort Philadelphia
Sprache englisch
Maße 152 x 229 mm
Gewicht 710 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Elektrotechnik / Energietechnik
ISBN-10 0-443-13392-1 / 0443133921
ISBN-13 978-0-443-13392-3 / 9780443133923
Zustand Neuware
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