Design and Performance Optimization of Renewable Energy Systems provides an integrated discussion of issues relating to renewable energy performance design and optimization using advanced thermodynamic analysis with modern methods to configure major renewable energy plant configurations (solar, geothermal, wind, hydro, PV). Vectors of performance enhancement reviewed include thermodynamics, heat transfer, exergoeconomics and neural network techniques. Source technologies studied range across geothermal power plants, hydroelectric power, solar power towers, linear concentrating PV, parabolic trough solar collectors, grid-tied hybrid solar PV/Fuel cell for freshwater production, and wind energy systems. Finally, nanofluids in renewable energy systems are reviewed and discussed from the heat transfer enhancement perspective.
- Reviews the fundamentals of thermodynamics and heat transfer concepts to help engineers overcome design challenges for performance maximization
- Explores advanced design and operating principles for solar, geothermal and wind energy systems with diagrams and examples
- Combines detailed mathematical modeling with relevant computational analyses, focusing on novel techniques such as artificial neural network analyses
- Demonstrates how to maximize overall system performance by achieving synergies in equipment and component efficiency
1. Introduction 2. Heat exchangers and nanofluids 3. Exergy analysis 4. Optimization techniques for solar energy applications 5. Solar power tower systems 6. Parabolic trough solar collectors 7. Solar water heaters 8. Performance of PV systems 9. Linear concentrating photovoltaic system 10. Hybrid solar PV/fuel cell power system 11. Geothermal power plants 12. ORC as waste heat recovery system 13. Wind turbines 14. Hydropower 15. Heat pumps 16. Energy storage 17. Neural network analysis in renewable energy systems
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