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Experimental and simulating examination of computer tools, Radlink and DOE2, for daylighting and energy simulation with venetian blinds

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  • Tian, Cheng
  • Chen, Tingyao
  • Chung, Tse-ming

Abstract

Venetian blinds are widely used to properly adjust the amount of incoming daylight for energy savings in lighting and cooling and to deal with glare for visual comfort. Two computer tools, Radlink in Adeline and DOE2, have been popularly used for long-term daylighting simulation with venetian blinds because they are computationally efficient and relatively convenient for use. Unlike Radiance, DOE2 and Radlink simplify the simulation by adopting some assumptions for high computational efficiency. However, the two tools and the assumptions adopted by them for the simulation of venetian blinds have not been fully validated until now. Therefore, indoor illuminances with and without venetian blinds were measured in a full-scale classroom under variant sky conditions, and were used to examine them. Experimental and simulated results show that without blinds, both DOE2 and Adeline with Radiance can accurately predict indoor daylight distribution, except that DOE2 gives relatively large errors near and far away from windows. With blinds, the root mean square error (RMSE) between the measured illuminances and those computed by Radlink and DOE2 are 80% and 48% under overcast sky, respectively, and 68% and 75% under clear sky. Analysis of the results shows that it is the assumptions used in Radlink and DOE2 that result in large simulation errors and unrealistic indoor illuminance distribution. It also reveals that any assumption that does not take into account the different features of daylight passing through blinds in their optical transfer process could result in significant computation errors.

Suggested Citation

  • Tian, Cheng & Chen, Tingyao & Chung, Tse-ming, 2014. "Experimental and simulating examination of computer tools, Radlink and DOE2, for daylighting and energy simulation with venetian blinds," Applied Energy, Elsevier, vol. 124(C), pages 130-139.
  • Handle: RePEc:eee:appene:v:124:y:2014:i:c:p:130-139
    DOI: 10.1016/j.apenergy.2014.03.002
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    2. Chi, Fang'ai & Wang, Ruonan & Li, Gaomei & Xu, Liming & Wang, Yonghe & Peng, Changhai, 2020. "Integration of sun-tracking shading panels into window system towards maximum energy saving and non-glare daylighting," Applied Energy, Elsevier, vol. 260(C).
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    4. Sun, Yanyi & Liang, Runqi & Wu, Yupeng & Wilson, Robin & Rutherford, Peter, 2017. "Development of a comprehensive method to analyse glazing systems with Parallel Slat Transparent Insulation material (PS-TIM)," Applied Energy, Elsevier, vol. 205(C), pages 951-963.
    5. Kirimtat, Ayca & Koyunbaba, Basak Kundakci & Chatzikonstantinou, Ioannis & Sariyildiz, Sevil, 2016. "Review of simulation modeling for shading devices in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 23-49.
    6. Acosta, Ignacio & Campano, Miguel Ángel & Molina, Juan Francisco, 2016. "Window design in architecture: Analysis of energy savings for lighting and visual comfort in residential spaces," Applied Energy, Elsevier, vol. 168(C), pages 493-506.
    7. Deng, Qianli & Jiang, Xianglin & Cui, Qingbin & Zhang, Limao, 2015. "Strategic design of cost savings guarantee in energy performance contracting under uncertainty," Applied Energy, Elsevier, vol. 139(C), pages 68-80.
    8. Singh, Ramkishore & Lazarus, I.J. & Kishore, V.V.N., 2015. "Effect of internal woven roller shade and glazing on the energy and daylighting performances of an office building in the cold climate of Shillong," Applied Energy, Elsevier, vol. 159(C), pages 317-333.
    9. Singh, Ramkishore & Lazarus, I.J. & Kishore, V.V.N., 2016. "Uncertainty and sensitivity analyses of energy and visual performances of office building with external venetian blind shading in hot-dry climate," Applied Energy, Elsevier, vol. 184(C), pages 155-170.
    10. Ghosh, Aritra & Norton, Brian & Duffy, Aidan, 2015. "Measured overall heat transfer coefficient of a suspended particle device switchable glazing," Applied Energy, Elsevier, vol. 159(C), pages 362-369.
    11. Nasrollahi, Nazanin & Shokri, Elham, 2016. "Daylight illuminance in urban environments for visual comfort and energy performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 861-874.
    12. Giovannini, Luigi & Favoino, Fabio & Pellegrino, Anna & Lo Verso, Valerio Roberto Maria & Serra, Valentina & Zinzi, Michele, 2019. "Thermochromic glazing performance: From component experimental characterisation to whole building performance evaluation," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    13. Wong, Ing Liang, 2017. "A review of daylighting design and implementation in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 959-968.
    14. Das, Aparna & Paul, Saikat Kumar, 2015. "Artificial illumination during daytime in residential buildings: Factors, energy implications and future predictions," Applied Energy, Elsevier, vol. 158(C), pages 65-85.
    15. Favoino, Fabio & Fiorito, Francesco & Cannavale, Alessandro & Ranzi, Gianluca & Overend, Mauro, 2016. "Optimal control and performance of photovoltachromic switchable glazing for building integration in temperate climates," Applied Energy, Elsevier, vol. 178(C), pages 943-961.

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