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High-Performance Accuracy of Daylight-Responsive Dimming Systems with Illuminance by Distant Luminaires for Energy-Saving Buildings

Author

Listed:
  • In-Tae Kim

    (Lighting Platform Research Center, Korea Photonics Technology Institute (KOPTI), Gwangju 61007, Korea)

  • Yu-Sin Kim

    (Lighting Platform Research Center, Korea Photonics Technology Institute (KOPTI), Gwangju 61007, Korea)

  • Meeryoung Cho

    (Lighting Platform Research Center, Korea Photonics Technology Institute (KOPTI), Gwangju 61007, Korea)

  • Hyeonggon Nam

    (School of Architecture, Chosun University, Gwangju 61452, Korea)

  • Anseop Choi

    (Department of Architectural Engineering, Sejong University, Seoul 05006, Korea)

  • Taeyon Hwang

    (School of Architecture, Chosun University, Gwangju 61452, Korea)

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%).

Suggested Citation

  • In-Tae Kim & Yu-Sin Kim & Meeryoung Cho & Hyeonggon Nam & Anseop Choi & Taeyon Hwang, 2019. "High-Performance Accuracy of Daylight-Responsive Dimming Systems with Illuminance by Distant Luminaires for Energy-Saving Buildings," Energies, MDPI, vol. 12(4), pages 1-21, February.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:4:p:731-:d:208308
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    References listed on IDEAS

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    1. Choul Woong Kwon & Kang Jun Lee, 2018. "Integrated Daylighting Design by Combining Passive Method with DaySim in a Classroom," Energies, MDPI, vol. 11(11), pages 1-17, November.
    2. Ngoc Hai Vu & Seoyong Shin, 2017. "Flat Optical Fiber Daylighting System with Lateral Displacement Sun-Tracking Mechanism for Indoor Lighting," Energies, MDPI, vol. 10(10), pages 1-13, October.
    3. Acosta, Ignacio & Munoz, Carmen & Campano, Miguel Angel & Navarro, Jaime, 2015. "Analysis of daylight factors and energy saving allowed by windows under overcast sky conditions," Renewable Energy, Elsevier, vol. 77(C), pages 194-207.
    4. Vincenzo Costanzo & Gianpiero Evola & Luigi Marletta & Fabiana Pistone Nascone, 2018. "Application of Climate Based Daylight Modelling to the Refurbishment of a School Building in Sicily," Sustainability, MDPI, vol. 10(8), pages 1-19, July.
    5. Kyung Sun Lee & Ki Jun Han & Jae Wook Lee, 2016. "Feasibility Study on Parametric Optimization of Daylighting in Building Shading Design," Sustainability, MDPI, vol. 8(12), pages 1-16, November.
    6. María Beatriz Piderit Moreno & Constanza Yañez Labarca, 2015. "Methodology for Assessing Daylighting Design Strategies in Classroom with a Climate-Based Method," Sustainability, MDPI, vol. 7(1), pages 1-18, January.
    7. Kyung Sun Lee & Ki Jun Han & Jae Wook Lee, 2017. "The Impact of Shading Type and Azimuth Orientation on the Daylighting in a Classroom–Focusing on Effectiveness of Façade Shading, Comparing the Results of DA and UDI," Energies, MDPI, vol. 10(5), pages 1-20, May.
    8. Li, Danny H.W., 2010. "A review of daylight illuminance determinations and energy implications," Applied Energy, Elsevier, vol. 87(7), pages 2109-2118, July.
    9. Yang Guan & Yonghong Yan, 2016. "Daylighting Design in Classroom Based on Yearly-Graphic Analysis," Sustainability, MDPI, vol. 8(7), pages 1-17, July.
    10. Ignacio Acosta & Miguel Ángel Campano & Samuel Domínguez-Amarillo & Carmen Muñoz, 2018. "Dynamic Daylight Metrics for Electricity Savings in Offices: Window Size and Climate Smart Lighting Management," Energies, MDPI, vol. 11(11), pages 1-27, November.
    11. Myunghwan Oh & Jaesung Park & Seungjun Roh & Chulsung Lee, 2018. "Deducing the Optimal Control Method for Electrochromic Triple Glazing through an Integrated Evaluation of Building Energy and Daylight Performance," Energies, MDPI, vol. 11(9), pages 1-22, August.
    12. Aniela Kaminska & Andrzej Ożadowicz, 2018. "Lighting Control Including Daylight and Energy Efficiency Improvements Analysis," Energies, MDPI, vol. 11(8), pages 1-18, August.
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    2. Atthakorn Thongtha & Piromporn Boontham, 2020. "Experimental Investigation of Natural Lighting Systems Using Cylindrical Glass for Energy Saving in Buildings," Energies, MDPI, vol. 13(10), pages 1-12, May.

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