A daylighting field study using human feedback and simulations to test and improve recently adopted annual daylight performance metrics
暂无分享,去创建一个
[1] Andrew McNeil,et al. A validation of the Radiance three-phase simulation method for modelling annual daylight performance of optically complex fenestration systems , 2013 .
[2] Patricia J. Wozniak. Applied Nonparametric Statistics (2nd ed.) , 1991 .
[3] Christoph F. Reinhart. Opinion: Climate-based daylighting metrics in LEEDv4 – A fragile progress , 2015 .
[4] C. Kowalski. On the Effects of Non‐Normality on the Distribution of the Sample Product‐Moment Correlation Coefficient , 1972 .
[5] Christoph F. Reinhart,et al. Predicting the Daylit Area—A Comparison of Students Assessments and Simulations at Eleven Schools of Architecture , 2014 .
[6] N. Jaspen. Applied Nonparametric Statistics , 1979 .
[7] Christoph F. Reinhart,et al. The daylit area – Correlating architectural student assessments with current and emerging daylight availability metrics , 2012 .
[8] Amir Nezamdoost. Development of Annual Daylight Performance Metrics: Sensitivity Analyses of Illuminance Thresholds and Blind Use, and Examinations of Energy Use Implications , 2015 .
[10] Amir Nezamdoost,et al. Revisiting the Daylit Area: Examining Daylighting Performance Using Subjective Human Evaluations and Simulated Compliance with the LEED Version 4 Daylight Credit , 2017 .
[11] Kevin Van Den Wymelenberg,et al. Visual Comfort, Discomfort Glare, and Occupant Fenestration Control: Developing a Research Agenda , 2014 .