Multi-objective optimization of thermo-hydraulic performance in triangular duct solar air heaters using machine learning models

Key Points

• The optimization process shows improved thermo-hydraulic performance in solar air heaters, enhancing energy efficiency.
• Key metrics improved by up to 25% during simulations across various optimization scenarios.
• Analysis using machine learning models identifies optimal designs for duct configurations to maximize performance.
• Results indicate substantial energy savings potential, emphasizing the need for further real-world testing and validation.