Integration of Clean and Sustainable Energy Resources and Storage in Multi-Generation Systems (eBook, PDF)

Design, Modeling and Robust Optimization
Redaktion: Jabari, Farkhondeh; Mohammadpourfard, Mousa; Mohammadi-Ivatloo, Behnam

• Format: PDF

Produktbeschreibung

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

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 355
• Erscheinungstermin: 9. Juli 2020
• Englisch
• ISBN-13: 9783030424206
• Artikelnr.: 59818728

Autorenporträt

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.

Inhaltsangabe

Definition of multi-generation systems.-Economic and environmental benefits of renewable energy sources in combined cooling, heating, potable water, hydrogen, and power generation systems.- Selection of cost-effective and energy-efficient storages with respect to uncertain nature of renewable energy resources and variations of demands.- Solar powered combined cooling, heating, potable water, hydrogen, and power generation systems with Application of ice storage/molten salt/batteries/electric and hydrogen vehicles.- Utilization of geothermal heat reservoirs of abandoned oil and gas wells for seawater purification and heat cool/hydrogen/power generation taking into account thermal energy storage systems such as molten salt.- Application of hydro potential in seawater desalination, hydrogen and power generation facilities without and with application of pumped storage.- Bio-fueled poly-generation of heat, power and fresh water production system considering advanced adiabatic compressed air energy storage.- Information gap decision theory for risk-aversion and risk-seeker decision making processes in solar multi-generation systems.- Monte Carlo simulations for sizing ice cold thermal energy storage in solar powered trigeneration microgrids.- Point estimation method for modeling intermittency of solar irradiations in molten salt integrated solar poly-generation plants.- Fuzzy scenario based stochastic programming approach for making robust decision in operation of biomass fired multi-generation plants.- Game theory application for finding optimal operating point of multi-production system under fluctuations of renewables and various load levels.

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