1. Introduction -- 2. Exergy: exergy costing and renewability analysis of energy conversion processes -- 3. Exergy and thermoeconomic analysis of power plants, refrigeration and polygeneration systems -- 4. Exergy evaluation of petroleum production and refining processes -- 5. chemical processes analysis and improvement -- 6. Exergy analysis and parametric improvement of the combined production of sugar, ethanol and electricity -- 7. Exergy and renewability analysis of liquid biofuels production routes -- 8. Exergy method for conception and assessment of aircraft systems -- 9. Exergy analysis and environmental impact -- 10. Exergy analysis and human body behavior.

Bridging the gap between concepts derived from Second Law of Thermodynamics and their application to Engineering practice, the property exergy and the exergy balance can be a tool for analyzing and improving the performance of energy conversion processes. With the exergy analysis it is possible to evaluate the performance of energy conversion processes not only on a thermodynamics basis but also by including production costs and environmental aspects and impacts of the studied processes. This comprehensive approach of the use of energy has, as one of the most important feature, the identification of sustainable ways of energy resources utilization.   Based on the fundamentals of the exergy concept, its calculation, graphical representations and exergy balances evaluation, Exergy: Production Cost And Renewability describes the application of detailed exergy and thermoeconomic analysis to power plants and polygeneration systems, petroleum production and refining plants (including hydrogen production), chemical plants, biofuel production routes, combined production of ethanol and electricity, aircraft systems design, environmental impact mitigation processes and human body behavior.   The presented case studies aim at providing students, researchers and engineers with guidelines to the utilization of the exergy and thermoeconomic analysis to model, simulate and optimize real processes and industrial plants.