“…Yun et al [8] demonstrated that outdoor illuminance was not a statistically significant factor affecting indoor lighting energy, rather the operation of lighting was more strongly correlated with the time of day. Additionally, other studies have also found that in offices without daylighting control, occupant use of electrical lighting was more dependent upon whether the room was occupied, than the outdoor illuminance [9][10].…”
Section: Introductionmentioning
confidence: 99%
“…This fact has caught the attention of practitioners, researchers, and policy makers. Studies have shown that the two main factors affecting lighting energy use are outdoor illuminance and occupant behavior [2][3][4][5][6][7][8][9][10]. From field studies and computer simulations, it has been concluded that lighting energy use is correlated with outdoor illuminance.…”
Section: Introductionmentioning
confidence: 99%
“…The analysis methods and conclusions from these studies [2][3][4][5][6][7][8][9][10] provide some baseline understanding of the role of illuminance on lighting energy use in buildings. However, due to limitations associated with the building layout and limited measured data, the complete picture of lighting energy use and the influencing factors, remains unclear.…”
Section: Introductionmentioning
confidence: 99%
“…The above studies [2][3][4][5][6][7][8][9][10] on lighting energy use were mostly focused on small office and residential buildings, with the research findings greatly dependent on building layout and daylighting control systems. The analysis methods and conclusions from these studies [2][3][4][5][6][7][8][9][10] provide some baseline understanding of the role of illuminance on lighting energy use in buildings.…”
“…Yun et al [8] demonstrated that outdoor illuminance was not a statistically significant factor affecting indoor lighting energy, rather the operation of lighting was more strongly correlated with the time of day. Additionally, other studies have also found that in offices without daylighting control, occupant use of electrical lighting was more dependent upon whether the room was occupied, than the outdoor illuminance [9][10].…”
Section: Introductionmentioning
confidence: 99%
“…This fact has caught the attention of practitioners, researchers, and policy makers. Studies have shown that the two main factors affecting lighting energy use are outdoor illuminance and occupant behavior [2][3][4][5][6][7][8][9][10]. From field studies and computer simulations, it has been concluded that lighting energy use is correlated with outdoor illuminance.…”
Section: Introductionmentioning
confidence: 99%
“…The analysis methods and conclusions from these studies [2][3][4][5][6][7][8][9][10] provide some baseline understanding of the role of illuminance on lighting energy use in buildings. However, due to limitations associated with the building layout and limited measured data, the complete picture of lighting energy use and the influencing factors, remains unclear.…”
Section: Introductionmentioning
confidence: 99%
“…The above studies [2][3][4][5][6][7][8][9][10] on lighting energy use were mostly focused on small office and residential buildings, with the research findings greatly dependent on building layout and daylighting control systems. The analysis methods and conclusions from these studies [2][3][4][5][6][7][8][9][10] provide some baseline understanding of the role of illuminance on lighting energy use in buildings.…”
“…Measuring the energy efficiency of buildings and its confrontation with the current building energy simulations now faces knowledge of what is commonly called "occupancy" [1][2][3][4][5][6][7][8][9][10][11][12]. Indeed, the influence of user behaviour on building energy consumption is significant and is increasing as building performance is high.…”
Abstract. Measuring the energy efficiency of buildings and its confrontation with the current Building Energy Simulations now faces knowledge of what is commonly called "occupancy". This work has been made in order to implement a monitoring system on a research demonstrator building at DLRCA in Angers (France). The goals were first to know the occupancy as input data of models but also to build occupancy models. Occupancy can be defined as all the action of occupants that affect building energy efficiency. The chosen monitoring deals with its presence, lightning, windows opening and internal gains. It seems that the use of an Infra-red detector allows a accuracy of 5 min in the detection of presence. The use of dry contact sensors allows the detection of five different rates of slide windows opening that can affect temperature decrease. Light sensors seem to be efficient to detect artificial lighting states when correctly configured.
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