Optimising the Scheduled Operation of Window Blinds to Enhance Occupant Comfort

Artificial lighting can increase a consumption. On the other hand, the of daylight in occupied spaces can reduce consumption while positively contributing to wellbeing. However, daylight entering the through windows needs to be reconciled with loss during winter and heat gain during summer, may affect thermal comfort. In this research, a algorithm is used to optimize the operation of window blinds in a school classroom to occupant visual comfort level. The objective the optimization study was to reduce the energy while maintaining the daylighting within the range of 100 lux to 2000 lux. simulation software was employed as the and thermal performance calculation . The findings evidenced that the proposed algorithm based schedule optimization the HVAC and lighting energy consumption giving preference to results showed that the performance of the method could also depend on different . The genetic algorithm reduced the negative of solar gains on energy consumption in by closin