2014 IES Street and Area Lighting Conference
September 14-17, 2014 | Nashville, TN
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One hundred significant papers were selected from a century of technical publishing by the Illuminating Engineering Society of North America. Papers were selected in 14 categories on the basis of their subsequent influence on lighting. A brief history of the technical publishing of the Society is given and a complete citation listing of the papers is provided.
This paper is based on the belief that any enthusiasm for modifying lighting practice to take account of the impact of light exposure on human health is premature. While there is no doubt that exposure to light can impact human health, there is still much to learn about the mechanisms and consequences of using light in this way. A number of questions that need to be addressed before light exposure can be safely, successfully and efficiently applied to enhancing human health are identified
Commercial daylighting systems have been shown to save up to 45% in electricity consumption when properly commissioned, and installed in areas with significant amounts of daylight. In practice however, these systems are greatly under-leveraged. This paper details the development of an intelligent commercial lighting system designed to overcome user dissatisfaction, lost energy savings due to simple control algorithms, and high retrofit costs. An influence diagram decision framework is used to optimize demand responsive actuation decisions, resulting in improvements in user satisfaction and energy efficiency compared to existing daylighting systems. Further, the system utilizes wireless sensing and actuating technology to relieve much of the expense associated with retrofitting.
Clear-lens turn-signals are more susceptible than amber-lens signals to sun reflections that may be interpreted as turn signals. We quantified the relevant photometric differences in direct sunlight between these two lamp types for a large sample of current lamps, and present inferences for likely effects on driver performance. Our data confirms that, in general, clear-lens turn-signals are likely to provide signals that are less discriminable, the variability within each turn-signals type is large.
High dynamic range (HDR) imaging offers the potential to use cameras as luminance meters. Therefore, they may also be used as illuminance meters. The luminance maps obtained from HDR photography can be analyzed according to objects, figures, ground, visual tasks, colors, and luminance. The corresponding illuminance contributed by each feature can be calculated. This allows a new way of illuminance analysis: measuring the quantity of light due to specific objects, colors, and features. This paper explains how to properly analyze the illuminance contributions from luminance maps. It shows an example based on an historic landmark, the State Capitol in Harrisburg, Pennsylvania.