Paper About Using Simple Light Sensor to Achieve Smart Daylight Harvesting

Lots of information such as energy efficiency, system, daylight prediction techniques, and daylight intensity are described inside this paper. Inside the paper we can read information about sensor, range, and artificial lighting.

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This paper contains discussion about daylight intensity lux, lighting, light intensity, and errors. The following are some excerpt from the paper:

Lighting is the largest single energy consumer in commercial buildings. In this paper, we demonstrate how to improve the effectiveness of daylight harvesting with a single light sensor on each window. Our system automatically infers the window orientation and the cloudiness levels of the current sky to predict the incoming daylight and set window transparency accordingly. We evaluate our system with ten weeks of empirical data traces collected from windows around an office building and compare our approach with non-predictive feedback control.

Additionally, the paper explains info about transparency, light sensor, and intensity.

Download Paper About Using Simple Light Sensor to Achieve Smart Daylight Harvesting pdf
File size: 0.383 MB, number of pages: 8, download server: www.cs.virginia.edu
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