Thermal Comfort and Energy Saving Optimization for HVAC Systems with Night Ventilation Cooling

Abstract

Summary: A significant part of the primary energy demand in industrialized countries is due to space heating and cooling in buildings. Furthermore especially in Europe, the use of HVAC systems is becoming highly popular, thus, the development of efficient cooling techniques is a very important research task to prevent an uncontrolled energy consumption increase. Night ventilation is a passive cooling technique that can significantly reduce the cooling loads and energy requirements, but a trade off must be made between energy cost savings and zone thermal comfort. The Multi-Objective Genetic Algorithms (MOGA) optimizations tools can be helpful in developing optimized cooling systems while maintaining comfort conditions constraints