Akademik Veri Yönetim Sistemi
Alternative Energy Sources, Materials & Technologies (AESMT’20), Plovdiv, Bulgaristan, 08 Haziran 2020, ss.1-2
Energy saving has become
important in recent years with smart city applications. Outdoor lighting is
very important in terms of safety and visuality. Outdoor lighting is done by
traditional methods in todays. However, it is quite disadvantageous both in
terms of visuality and energy efficiency. In this study, an example environment
is designed for the smart city application. Artificial intelligent based
control is simulated within the scope of smart city applications in an area
consisting of schools, living spaces, social areas and roads. Various scenarios
have been identified and intelligent control has been obtained by taking the
data from the national data center and sensors. These scenarios are detection
motion at night, detection at rising sun, no motion at night, no motion at
rising sun and enough lighting. When the control and used luminaires
are considered, the proposed system was found to be 43.35% more efficient
than traditional control methods. With the study, the necessity of expanding
smart city applications in terms of future energy saving, security and comfort
was revealed.