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Analysis of the impact of automatic shading control scenarios on occupant’s comfort and energy load

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  • Tabadkani, Amir
  • Roetzel, Astrid
  • Xian Li, Hong
  • Tsangrassoulis, Aris
  • Attia, Shady

Abstract

Building envelopes should be responsive to boundary conditions changing in short-time, daily, or seasonal patterns. To this end, adaptive facades provide the ability to react, or benefit from, outdoor fluctuations and dynamic indoor requirements. On the other hand, the parallel trend of developing new technologies to control their performance, make adaptive facades more applicable to counterbalance both user’s comfort and building energy load. This goal can be met using active control mechanisms, either manually or automatically. Automatic shading controls require indoor/outdoor signal inputs to operate a shading system. However, in the literature, there is no consent on the effectiveness of automatic shading control strategies and all of the studies were investigated within specific environmental conditions. Therefore, this paper aims to compare the most used control functions and their implications on user comfort and energy load in different climate zones. To this end, EnergyPlus was used as a simulation platform to employ Energy Management System (EMS) for linking sensors, actuators to the control logic of adaptive venetian blinds. Then, a brute-force method was performed through Ladybug-tools to conduct 15,390 iterations parametrically. Results showed that climatic conditions impact the shading control scenario significantly, and the optimum scenario was an open-loop algorithm based on direct solar radiation due to the earlier activation of blind closure to block solar radiation while increasing lighting load at the same time.

Suggested Citation

  • Tabadkani, Amir & Roetzel, Astrid & Xian Li, Hong & Tsangrassoulis, Aris & Attia, Shady, 2021. "Analysis of the impact of automatic shading control scenarios on occupant’s comfort and energy load," Applied Energy, Elsevier, vol. 294(C).
    • Handle: RePEc:eee:appene:v:294:y:2021:i:c:s0306261921003883
    DOI: 10.1016/j.apenergy.2021.116904
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    References listed on IDEAS

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    1. Carlucci, Salvatore & Causone, Francesco & De Rosa, Francesco & Pagliano, Lorenzo, 2015. "A review of indices for assessing visual comfort with a view to their use in optimization processes to support building integrated design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 1016-1033.
    2. Bustamante, Waldo & Uribe, Daniel & Vera, Sergio & Molina, Germán, 2017. "An integrated thermal and lighting simulation tool to support the design process of complex fenestration systems for office buildings," Applied Energy, Elsevier, vol. 198(C), pages 36-48.
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    1. Xiaodong Wang & Yinan Yang & Xiaoyu Li & Chunying Li, 2022. "Modeling, Simulation, and Performance Analysis of a Liquid-Infill Tunable Window," Sustainability, MDPI, vol. 14(23), pages 1-22, November.
    2. Pinto, Maria Cristina & Crespi, Giulia & Dell'Anna, Federico & Becchio, Cristina, 2023. "Combining energy dynamic simulation and multi-criteria analysis for supporting investment decisions on smart shading devices in office buildings," Applied Energy, Elsevier, vol. 332(C).
    3. Hassan Bazazzadeh & Barbara Świt-Jankowska & Nasim Fazeli & Adam Nadolny & Behnaz Safar ali najar & Seyedeh sara Hashemi safaei & Mohammadjavad Mahdavinejad, 2021. "Efficient Shading Device as an Important Part of Daylightophil Architecture; a Designerly Framework of High-Performance Architecture for an Office Building in Tehran," Energies, MDPI, vol. 14(24), pages 1-26, December.

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