Photovoltaic Water Pumping Systems : Concept, Design, and Methods of Optimization

Photovoltaic Water Pumping Systems: Concept, Design and Methods of Optimization looks at the potential of effectively designed PVPS and how they can be commercially efficient and economically competitive to grid connected or diesel generator (DG) based pumping systems.

The low energy conversion efficiency of PV modules, nonlinearity of PV module/array I-V characteristics and the unique maximum power operation point are major challenges of this technology, this book provides readers with design and optimization methods, codes and critical analysis of the recent developments in PV pumping systems.

Focusing on system feasibility and suitable applications with design procedures, this reference presents a critical analysis of PVPS field performance, modeling and control strategies using artificial intelligence techniques.

A suitable text for researchers, engineers and graduate students who are working in the field of photovoltaics and pumping and systems.

• Uses open source Matlab codes for PV pumping system optimization
• Provides global cases studies and design examples for comparison
• Includes a data source sheet for proposed systems for successful implementation methods

Tamer Khatib is a full professor of photovoltaic power systems at An-Najah National University, Palestine. He holds a BSc degree in electrical power systems, an MSc degree and a PhD degree in photovoltaic power systems, and holds Habilitation (the highest academic degree in German speaking countries) in renewable and sustainable energy from Alpen Adria Universitat, Klagenfurt, Austria. Prof. Khatib has published 2 books and over 145 research articles on photovoltaic systems, and has been listed in the world’s top 2% of scientists according to the Stanford ranking. He has supervised more than 10 PhD students, 30 MSc students, and 50 BSc students in their research. He has acted as a consultant for over 57 megascale photovoltaic projects across at least eight countries. His research interests mainly fall in the scope of photovoltaic systems and solar energy fundamentals.

Dhiaa Halbot Muhsen
Dhiaa holds a B.Sc. degree in electrical Engineering from University of Baghdad, as well as a M.Sc. degrees in Computer and Control Engineering from Baghdad University. In addition he holds a Ph.D degree in Computer Engineering from University of Tenaga National, Malaysia. Currently he is lecturer in Computer Engineering department, Al-Mustansiriyah University. Dhiaa has done his Ph.D under the supervision of Associate Professor Dr. Tamer Khatib. His current research interests include modeling of Photovoltaics, modeling of PVPS, sizing of PVPS, Evolutionary Algorithms (EA), and Multi-Criteria Decision Making (MCDM) algorithms.