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Control strategies for intelligent glazed façade and their influence on energy and comfort performance of office buildings in Denmark

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  • Liu, Mingzhe
  • Wittchen, Kim Bjarne
  • Heiselberg, Per Kvols

Abstract

The research aims to develop control strategies for intelligent glazed façades and investigate the influence of different control strategies on energy and comfort performance in office buildings. The intelligent glazed façade is capable of controlling the thermal, solar and mass transmittance by controlling shutters, blinds and openings. The façade and building services are designed and controlled holistically to optimize the indoor comfort (thermal, visual comfort and indoor air quality) and minimize the energy demand by heating, cooling, lighting and ventilation. The study is conducted numerically utilising a simplified hourly calculation method developed to calculate yearly energy and comfort performance of an office room equipped with an intelligent façade. The simplified method is verified by the Danish dynamic building simulation tool BSim and experimental test in a full scale test facility at Aalborg University (Cube).

Suggested Citation

  • Liu, Mingzhe & Wittchen, Kim Bjarne & Heiselberg, Per Kvols, 2015. "Control strategies for intelligent glazed façade and their influence on energy and comfort performance of office buildings in Denmark," Applied Energy, Elsevier, vol. 145(C), pages 43-51.
  • Handle: RePEc:eee:appene:v:145:y:2015:i:c:p:43-51
    DOI: 10.1016/j.apenergy.2015.02.003
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    References listed on IDEAS

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    1. Chan, A.L.S., 2012. "Effect of adjacent shading on the thermal performance of residential buildings in a subtropical region," Applied Energy, Elsevier, vol. 92(C), pages 516-522.
    2. Palmero-Marrero, Ana I. & Oliveira, Armando C., 2010. "Effect of louver shading devices on building energy requirements," Applied Energy, Elsevier, vol. 87(6), pages 2040-2049, June.
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    Cited by:

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    2. Webb, Matthew & Aye, Lu & Green, Ray, 2018. "Simulation of a biomimetic façade using TRNSYS," Applied Energy, Elsevier, vol. 213(C), pages 670-694.
    3. Ramkishore Singh & Dharam Buddhi & Samar Thapa & Chander Prakash & Rajesh Singh & Atul Sharma & Shane Sheoran & Kuldeep Kumar Saxena, 2022. "Sensitivity Analysis for Decisive Design Parameters for Energy and Indoor Visual Performances of a Glazed Façade Office Building," Sustainability, MDPI, vol. 14(21), pages 1-27, October.
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    7. 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.
    8. Congedo, Paolo Maria & Baglivo, Cristina & D'Agostino, Delia & Zacà, Ilaria, 2015. "Cost-optimal design for nearly zero energy office buildings located in warm climates," Energy, Elsevier, vol. 91(C), pages 967-982.
    9. Ahn, Jonghoon & Cho, Soolyeon, 2017. "Anti-logic or common sense that can hinder machine’s energy performance: Energy and comfort control models based on artificial intelligence responding to abnormal indoor environments," Applied Energy, Elsevier, vol. 204(C), pages 117-130.
    10. Luo, Yongqiang & Zhang, Ling & Bozlar, Michael & Liu, Zhongbing & Guo, Hongshan & Meggers, Forrest, 2019. "Active building envelope systems toward renewable and sustainable energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 470-491.
    11. 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.
    12. Omrany, Hossein & Ghaffarianhoseini, Ali & Ghaffarianhoseini, Amirhosein & Raahemifar, Kaamran & Tookey, John, 2016. "Application of passive wall systems for improving the energy efficiency in buildings: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 1252-1269.
    13. Korkas, Christos D. & Baldi, Simone & Michailidis, Iakovos & Kosmatopoulos, Elias B., 2016. "Occupancy-based demand response and thermal comfort optimization in microgrids with renewable energy sources and energy storage," Applied Energy, Elsevier, vol. 163(C), pages 93-104.
    14. Xie, Jing Chao & Xue, Peng & Mak, Cheuk Ming & Liu, Jia Ping, 2017. "Balancing energy and daylighting performances for envelope design: A new index and proposition of a case study in Hong Kong," Applied Energy, Elsevier, vol. 205(C), pages 13-22.
    15. 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).
    16. Zeng, Zhaoyun & Augenbroe, Godfried & Chen, Jianli, 2022. "Realization of bi-level optimization of adaptive building envelope with a finite-difference model featuring short execution time and versatility," Energy, Elsevier, vol. 243(C).
    17. Baldi, Simone & Zhang, Fan & Le Quang, Thuan & Endel, Petr & Holub, Ondrej, 2019. "Passive versus active learning in operation and adaptive maintenance of Heating, Ventilation, and Air Conditioning," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    18. 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.
    19. Bui, Dac-Khuong & Nguyen, Tuan Ngoc & Ghazlan, Abdallah & Ngo, Ngoc-Tri & Ngo, Tuan Duc, 2020. "Enhancing building energy efficiency by adaptive façade: A computational optimization approach," Applied Energy, Elsevier, vol. 265(C).

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