Thermo-economic multi-objective optimization of solar dish-Stirling engine by implementing evolutionary algorithm

• Thermo-economic multi-objective optimization of solar dish-Stirling engine is studied.
• Application of the evolutionary algorithm is investigated.
• Error analysis is done to find out the error through investigation.

In the recent years, remarkable attention is drawn to Stirling engine due to noticeable advantages, for instance a lot of resources such as biomass, fossil fuels and solar energy can be applied as heat source. Great number of studies are conducted on Stirling engine and finite time thermo-economic is one of them. In the present study, the dimensionless thermo-economic objective function, thermal efficiency and dimensionless power output are optimized for a dish-Stirling system using finite time thermo-economic analysis and NSGA-II algorithm. Optimized answers are chosen from the results using three decision-making methods. Error analysis is done to find out the error through investigation.