The daylighting dashboard – A simulation-based design analysis for daylit spaces
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Cites background or methods from "The daylighting dashboard – A simul..."
...Other widespread techniques to monitor control system state or occupancy movement and presence include imaging analysis such as time-lapse photography taken from the exterior building façade [23, 28, 29, 32, 65-73] as well as camera-based [74, 75] and internal personal visual survey, such as personal building walkthroughs [28, 31, 41, 73, 76]....
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...Data collection techniques often include direct monitoring of the building control systems, using magnetic switches for windows [22-26], electromechanical sensors for shading systems, blinds and electric lighting [27-32], recording TRV (thermostatic radiator valve) switches [26, 33-35], AC thermostat set points [36,37], presence detectors such as motion sensors [38-40], intelligent control of building systems and real-time building visualization [41], security systems [42], PIR (passive infrared) sensors [43], ultrasonic detectors for light switching [44] , and smart/wireless electric outlet meters [45-52]....
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...Surrogate information on energy-related behaviors can be deduced by using already available data such as occupancy derived from light switch sensors [41, 58-60], computer switches [61, 62], IT (information technology) infrastructure [63] and from equipment load profiles [64]....
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...Two main methodological approaches, one more objective (field monitoring) and one more subjective (self-reporting and questionnaires) are used widely by the scientific community to gain a better understanding of energy-related occupant behavior in buildings (see Appendix A for details) [21-90]....
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References
783 citations
"The daylighting dashboard – A simul..." refers background in this paper
...These advances include a trend away from static and towards dynamic, climate-based daylight simulations (Reinhart, Mardaljevic and Rogers 2006; Mardaljevic, Heschong and Lee 2009), more refined glare prediction and simulation methods (Wienold and Christoffersen 2006) and occupancy behavior models that mimic occupant use of shading and lighting controls (Reinhart 2004)....
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...The Evalglare program extracts daylight glare probabilities from Radiance images and/or high dynamic range photographs (Wienold and Christoffersen 2006)....
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...Daylight glare probability (DGP) is a recently proposed discomfort glare index that was derived by the second author from laboratory studies in daylit spaces using seventy-two test subjects in Denmark and Germany (Wienold and Christoffersen 2006)....
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...…daylight simulations (Reinhart, Mardaljevic and Rogers 2006; Mardaljevic, Heschong and Lee 2009), more refined glare prediction and simulation methods (Wienold and Christoffersen 2006) and occupancy behavior models that mimic occupant use of shading and lighting controls (Reinhart 2004)....
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776 citations
680 citations
"The daylighting dashboard – A simul..." refers background in this paper
...A common choice is to concentrate on the times when the investigated space will be occupied (Reinhart et al. 2006)....
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645 citations
"The daylighting dashboard – A simul..." refers background in this paper
...These advances include a trend away from static and towards dynamic, climate-based daylight simulations (Reinhart, Mardaljevic and Rogers 2006; Mardaljevic, Heschong and Lee 2009), more refined glare prediction and simulation methods (Wienold and Christoffersen 2006) and occupancy behavior models that mimic occupant use of shading and lighting controls (Reinhart 2004)....
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...…daylight simulations (Reinhart, Mardaljevic and Rogers 2006; Mardaljevic, Heschong and Lee 2009), more refined glare prediction and simulation methods (Wienold and Christoffersen 2006) and occupancy behavior models that mimic occupant use of shading and lighting controls (Reinhart 2004)....
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602 citations