Abstract
In a conventional daylight-responsive dimming system (DRDS), all the luminaires are turned off during the calibration process except for the luminaire under consideration in order to sense only the workplane illuminance of that luminaire. However, the workplane illuminance of the luminaire is influenced by other luminaires. Therefore, the final workplane illuminance of the actual operated system is higher than the target workplane illuminance, reducing the energy-saving efficiency of the DRDS. Herein, to improve the conventional DRDS, an advanced commissioning prediction method of daylight illuminance, and a dimming control algorithm considering the influences by distant luminaires are proposed. To evaluate the accuracy of the proposed prediction method of daylight illuminance, the daylight illuminance on the workplane and the photo sensor values of six points were measured in a full-scale mockup for 27 consecutive days from 22 June to 18 July 2018. As a result of root-mean-square error (RMSE) analysis of daylight illuminance and the photo sensor values, the RMSE (64.86) of P3 located in the middle of the room was the highest, and the RMSE value (17.60) of P5 located near the window was the lowest. In addition, the power consumption of the luminaires, and the target illuminance accuracy of the proposed DRDS were measured and analyzed for 32 consecutive days from 19 July to 19 August 2018 in a full-scale mockup. The average target illuminance accuracy was 96.9% (SD 2.2%), the average lighting energy-savings ratio was 78.4%, and the daylight illuminance prediction accuracy was 95.5% (SD 3.4%).
Highlights
In the Republic of Korea, in order to promote light-emitting diode (LED) lighting and to realize zero energy building, more than 32,000 LED luminaires as well as daylight-responsive dimming system (DRDS) were installed in Sejong city government office in
The conventional DRDS cannot or accurately predict workplane illuminance and does not achieve the theoretical lighting energy savings because it employs a simple dimming control algorithm and a simple commissioning
The accuracy of the of the daylight illuminance increased as the learning process was extended to account for various external environments, seasons, and weather types
Summary
In 2015, world leaders signed the Paris Climate Convention, which states that greenhouse-gas emissions should be phased out so that the global average temperature does not rise more than 2 ◦ C above pre-industrial levels. In the Republic of Korea, in order to promote LED lighting and to realize zero energy building, more than 32,000 LED luminaires as well as DRDS were installed in Sejong city government office in. The lighting energy savings based on daylight-responsive dimming were in the range of 60%–80% on average [15] This saving of the lighting energy is a theoretical value that is needed a) to accurately predict the workplane luminance and b) to precisely control dimming. The conventional DRDS (including the DRDS installed in the government office of Sejong city) cannot or accurately predict workplane illuminance and does not achieve the theoretical lighting energy savings because it employs a simple dimming control algorithm and a simple commissioning. Represents illuminance by only a specific luminaire to the workplane at a position directly under the luminaire, and “illuminance by distant luminaires” represents illuminance by other than the specific luminaire to the workplane
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