Sentence examples for daylight control from inspiring English sources

In the last few years many advanced computer packages, characterised by a considerable integration between thermal and visual aspects, were developed to support designers and to study building energy performance, innovative materials and daylight control strategies and systems.

In addition, pre-construction technologies (structural insulated panels (SIPs), daylight control, and increased window area) provide roughly 4 times the energy savings when compared to post-construction technologies (window blinds and efficient window glass).

These energy-saving measures include: structural insulated panels (SIP) for exterior wall construction, daylight control, increased window area, efficient window glass suitable for the local weather, and several combinations of these.

For the no light daylight control and the red colour daylight, feeding activity during the daytime was not significantly different from the night activity (unpaired student's t-test, two-tailed, p = 0.5125 for no light control, p = 0.0755 for red treatment; Figure  3 and Additional file 2).

Hybrid aspen (Populus tremula × tremuloides; clone T89) were grown in soil in green house at 22/18°C (day/night temperature), with light intensity of maximum 400 μmol m-2 s-1 from natural daylight (controlled by curtains, supplemented when required with high-pressure sodium lamps) and 80% humidity under long-day conditions (16 h-light/8 h-dark cycle).

Both systems had the same daylighting control system to dim the electric lighting.

This result demonstrated the potential use of daylighting control system of Saraga Tunnel.

For this purpose, lighting performance of the Klang District Historic Office building in Malaysia was investigated through a simple daylighting control.

Using radiance to study two daylighting control options (curtains and louvers), it can be found that louvers are more effective than curtains as daylighting control devices, and that the angle of the louvers have more effect than their reflectance on daylight penetration and distribution.

The present study aims at accentuating the use of computational modeling techniques towards significantly improving the effectiveness of daylighting control on energy and cost savings for historic office buildings.

In this paper a novel computer model for predicting the energy demand of buildings integrating phase change materials, photovoltaic-thermal collectors, adjacent sunspaces and innovative daylighting control is presented.