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