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Optimization Control Strategy for Transition Season Blinds Balancing Daylighting, Thermal Discomfort, and Energy Efficiency

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  • Guipan Wang

    (School of Building Services Science and Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Ying Yu

    (School of Mechanical and Electrical Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Chenfei Zhang

    (School of Building Services Science and Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China)

Abstract

Natural lighting in office buildings is often affected by excessive solar heat gain and discomfort glare, and the transitional seasons are no exception. Therefore, addressing the issue of natural lighting in buildings has always been a challenge in developing shading control strategies. This study designed a model-based calculation method for shading blind control indicators. The method combines existing physical models for sky conditions, solar radiation, heat transfer, thermal comfort, glare, and illuminance calculations and incorporates modifications and additions. Additionally, an equivalent energy-saving model for shading was established. A shading blind control strategy balancing indoor light and the thermal environment with energy savings during transitional seasons was proposed. In transitional seasons, this method can eliminate 100% of glare, reduce discomfort illuminance duration by 81.3% and heat discomfort duration by 87.5% and save 81.3% of lighting energy consumption when air conditioning is used. By comparing the simulation results of an office building in Xi’an with the results obtained from this calculation method, the absolute error percentage was found to be 6.83%, verifying the reliability of the calculation method. Finally, the proposed control strategy was compared with common methods such as no blinds, end-angle control, and fixed-angle control to evaluate its performance in terms of daylighting, thermal comfort, and energy savings. The results showed that the control strategy proposed in this study has significant advantages with respect to various performance indicators.

Suggested Citation

  • Guipan Wang & Ying Yu & Chenfei Zhang, 2024. "Optimization Control Strategy for Transition Season Blinds Balancing Daylighting, Thermal Discomfort, and Energy Efficiency," Energies, MDPI, vol. 17(7), pages 1-21, March.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:7:p:1543-:d:1362502
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    References listed on IDEAS

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    1. Konstantoglou, Maria & Tsangrassoulis, Aris, 2016. "Dynamic operation of daylighting and shading systems: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 268-283.
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