Economic and Energy Efficiency of Artificial Lighting Control Systems for Stairwells of Multistory Residential Buildings

Abstract

The aim of the research is to determine the economic and energy efficiency usage of the artificial lighting control systems, with the help of astronomical relays and motion sensors, by various types of light sources for the stairwells (stair landings and staircases) of multistory residential buildings. The analysis of the residents' monthly movement intensity of the 9-story residential buildings through the buildings entrance, doorways, and apartment doors was carried out. The economic and energy efficiency of use the artificial lighting control systems with an astronomical relays and motion sensors with different types of light sources was determined. Regardless of the light sources` type, the astronomical relay's use leads to reduction in the electricity consumption of artificial lighting in 43.31%-50.52%. Moreover, the motion sensors' use on stairwells leads to a significant reduction in electrical energy consumption: in a case of halogen lamps-by 97.73%, compact fluorescent lamps-by 95.27%, light-emitting diodes lamps-by 93.98%. For the first time, the data of 9story residential buildings inhabitants' traffic intensity through the first-floor doorway for the Ternopil city, Ukraine has been carried out. It has been proved the economic feasibility and energy efficiency of using combined lighting with an artificial lighting control system for stairwells of multistory residential buildings.

Intelligent Lighting Control Systems for Energy Savings in Hospital Buildings Using Artificial Neural Networks

“…Evaluation using car headlights demonstrated that the system effectively reduces energy consumption for street lighting. Burmaka et al, (2020) assessed the cost and energy savings of using artificial lighting control systems in residential stairwells. Results showed that combining astronomical relays and motion sensors significantly reduced electricity consumption, with savings ranging from 43.31% to 97.73%, depending on the light source.…”

Occupant behaviour and the potential of automating lighting control in terms of energy consumption – is there a link for residential buildings?

“…The representation of the manual control behaviour is one of the challenges in energy performance simulations. Nowadays, the reported energy savings refer to various baseline scenarios, often making unrealistic assumptions such as lighting that is continuously switched on or ignoring presence of daylight [1,7,12]. In fact, manual control is driven by interactions between circumstances and variables, including residents' occupation, type of room, preferred illuminance levels and degree of fatigue [11].…”