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Subdivided venetian blind control strategies considering visual satisfaction of occupants, daylight metrics, and energy analyses
Highlights The research method has three main steps. 1. Experimental study, 2.Survey study and 3. Modelling and simulation for long-term energy and daylight analysis. In the modelling process 5 blind strategies are investigated as BSDF materials by Five-Phase matrix method considering energy and daylight analyses. The subdivided window blind strategies showed energy efficiency up to 40% considering occupants satisfaction. The evaluation of daylight and glare metrics showed that the DGP(low light)<0.45, DGPs 0.2-0.28, UDI300-3000 and DAv300,50% indices support the occupants’ visual comfort in the spaces with shaded window. Occupants' working-place, their field of view and daytime are the important parameters for evaluating daylight performance in the room and selecting the most appropriate blind strategy.
Abstract Thermal and lighting performance in buildings depend on their facade characteristics, and are important factors to achieve environmental sustainability. Application of an integrated model that balances these two performance indices would help optimise window and shading configurations by considering the comfort of occupants. As occupants infrequently operate shadings in shared spaces, the energy efficiency and visual comfort could be improved by planning appropriate shading strategies in initial design process. Thus, this paper presents a multi-stage study on the control strategies of venetian blinds by considering visual comfort and daylight metrics, and through energy analyses. First, the case study was performed in a south-oriented daylit office room. 30 people were interviewed via a survey about working on a laptop considering three different times of a day, five blind types, and three positions. The impact of daylight on their visual comfort was surveyed at different illuminance levels which were measured by daylight loggers. The useful daylight illuminance (UDI), Daylight Availability (DAv), spatial daylight autonomy (sDA), annual sunlight exposure (ASE), and simplified daylight glare probability (DGPs) were used to evaluate the results. Finally, the window and blinds were modelled for different window to wall ratios (WWRs) for long-term energy and daylight analysis, by considering bi-directional scattering distribution function (BSDF) materials and using the five-phase matrix method. Therefore, the positions of the occupants and their activities were determined to be important parameters in deciding the most suitable blind strategy. According to occupants’ working place and daytime, subdivided shadings are recommended, particularly in 90% WWR considering both energy efficiency (40% savings) and satisfaction of occupants.
Subdivided venetian blind control strategies considering visual satisfaction of occupants, daylight metrics, and energy analyses
Highlights The research method has three main steps. 1. Experimental study, 2.Survey study and 3. Modelling and simulation for long-term energy and daylight analysis. In the modelling process 5 blind strategies are investigated as BSDF materials by Five-Phase matrix method considering energy and daylight analyses. The subdivided window blind strategies showed energy efficiency up to 40% considering occupants satisfaction. The evaluation of daylight and glare metrics showed that the DGP(low light)<0.45, DGPs 0.2-0.28, UDI300-3000 and DAv300,50% indices support the occupants’ visual comfort in the spaces with shaded window. Occupants' working-place, their field of view and daytime are the important parameters for evaluating daylight performance in the room and selecting the most appropriate blind strategy.
Abstract Thermal and lighting performance in buildings depend on their facade characteristics, and are important factors to achieve environmental sustainability. Application of an integrated model that balances these two performance indices would help optimise window and shading configurations by considering the comfort of occupants. As occupants infrequently operate shadings in shared spaces, the energy efficiency and visual comfort could be improved by planning appropriate shading strategies in initial design process. Thus, this paper presents a multi-stage study on the control strategies of venetian blinds by considering visual comfort and daylight metrics, and through energy analyses. First, the case study was performed in a south-oriented daylit office room. 30 people were interviewed via a survey about working on a laptop considering three different times of a day, five blind types, and three positions. The impact of daylight on their visual comfort was surveyed at different illuminance levels which were measured by daylight loggers. The useful daylight illuminance (UDI), Daylight Availability (DAv), spatial daylight autonomy (sDA), annual sunlight exposure (ASE), and simplified daylight glare probability (DGPs) were used to evaluate the results. Finally, the window and blinds were modelled for different window to wall ratios (WWRs) for long-term energy and daylight analysis, by considering bi-directional scattering distribution function (BSDF) materials and using the five-phase matrix method. Therefore, the positions of the occupants and their activities were determined to be important parameters in deciding the most suitable blind strategy. According to occupants’ working place and daytime, subdivided shadings are recommended, particularly in 90% WWR considering both energy efficiency (40% savings) and satisfaction of occupants.
Subdivided venetian blind control strategies considering visual satisfaction of occupants, daylight metrics, and energy analyses
Montaser Koohsari, Ayda (Autor:in) / Heidari, Shahin (Autor:in)
Energy and Buildings ; 257
07.12.2021
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch