Integration of Clean and Sustainable Energy Resources and Storage in Multi-Generation Systems: Design, Modeling and Robust Optimization - Softcover

Über die Autorin bzw. den Autor

Farkhondeh Jabari is a researcher and PhD student in Electrical Power Systems Engineering at the University of Tabriz in Tabriz, Iran.

Behnam Mohammadi-Ivatloo, PhD, is a Senior Research Fellow at Aalborg University, Aalborg, Denmark. Before that he was Associate Professor at the University of Tabriz, Tabriz, Iran. Before joining the University of Tabriz, he was a research associate at the Institute for Sustainable Energy, Environment and Economy at the University of Calgary. He obtained MSc and PhD degrees in electrical engineering from Sharif University of Technology. Dr. Mohammadi is head of the Smart Energy Systems Lab and his mains research interests are renewable energies, micro grid systems, and smart grids.

Mousa Mohammadpourfard received his Ph.D. degree from the University of Tabriz, Iran in 2009. Dr. Mohammadpourfard is currently associate professor at the Faculty of Chemical and Petroleum Engineering at the University of Tabriz, Iran. His research interests include Convective heat transfer, Multi-phase flows, CFD, and Thermal engineering.

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This book presents design principles, performance assessment and robust optimization of different poly-generation systems using renewable energy sources and storage technologies. Uncertainties associated with demands or the intermittent nature of renewables are considered in decision making processes. Economic and environmental benefits of these systems in comparison with traditional fossil fuels based ones are also provided. Case studies, numerical results, discussions, and concluding remarks have been presented for each proposed system/strategy. This book is a useful tool for students, researchers, and engineers trying to design and evaluate different zero-energy and zero-emission stand-alone grids.

• Contains illustrative examples and real case studies
• Presents the most up-to-date approaches for energy integration
• Provides optimization techniques and their applications for energy systems