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An integrated thermal and lighting simulation tool to support the design process of complex fenestration systems for office buildings

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  • Bustamante, Waldo
  • Uribe, Daniel
  • Vera, Sergio
  • Molina, Germán

Abstract

Office buildings are greatly affected by solar heat gain and daylight transmission through fenestrations. External shading devices control the solar radiation transmission, thus they significantly influence building performance because of improving energy efficiency and visual comfort. Automated control systems for external shading devices to simultaneously control solar heat gain and indoor illuminance can minimize the energy use and provide visual comfort. To minimize the total energy consumption, building designers need the support of building performance simulation tools that can integrate the thermal and lighting simulations, such as mkSchedule. The main objective of this paper is to demonstrate the use of mkSchedule as a tool for supporting the decision-making process in the early building design stages using a case study of an office space with two different external and movable complex fenestration systems (CFSs) and controlled dimmed luminaires in four cities. The CFSs are controlled by the irradiance on the façade, and mkSchedule is used to determine the maximum allowable irradiance that minimizes the energy consumption while meeting the visual comfort criteria. The four studied cities are Montreal, Canada; Boulder, USA; Miami, USA; and Santiago, Chile. Two external shading devices are evaluated, a set of external perforated curved louvers and a set of venetian blinds. For each case, the visual comfort was assessed based on the spatial daylight autonomy (sDA) and the annual sunlight exposure (ASE) according to the Illuminating Engineering Society (IES) standard; whereas, the building energy performance was determined in terms of the sum of heating, cooling and lighting energy consumption. For the venetian blinds, the maximum incident irradiance threshold varied between 530W/m2 and 610W/m2; while this threshold varied between 290W/m2 and 350W/m2 for the louvers. This study demonstrates that mkSchedule is an effective tool for determining the performance of different CFSs in the early building design stages considering visual comfort criteria and building energy performance, thus it provides information not only to choose among different alternatives of CFSs and control algorithms, but also to set the main parameters of the control algorithm.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:198:y:2017:i:c:p:36-48
    DOI: 10.1016/j.apenergy.2017.04.046
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    References listed on IDEAS

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    Cited by:

    1. Abdo Abdullah Ahmed Gassar & Choongwan Koo & Tae Wan Kim & Seung Hyun Cha, 2021. "Performance Optimization Studies on Heating, Cooling and Lighting Energy Systems of Buildings during the Design Stage: A Review," Sustainability, MDPI, vol. 13(17), pages 1-47, September.
    2. Hong, Seongkwan & Choi, An-Seop & Sung, Minki, 2017. "Development and verification of a slat control method for a bi-directional PV blind," Applied Energy, Elsevier, vol. 206(C), pages 1321-1333.
    3. Niraj Kunwar & Mahabir Bhandari, 2020. "A Comprehensive Analysis of Energy and Daylighting Impact of Window Shading Systems and Control Strategies on Commercial Buildings in the United States," Energies, MDPI, vol. 13(9), pages 1-21, May.
    4. Dietz, Annelore & Vera, Sergio & Bustamante, Waldo & Flamant, Gilles, 2020. "Multi-objective optimization to balance thermal comfort and energy use in a mining camp located in the Andes Mountains at high altitude," Energy, Elsevier, vol. 199(C).
    5. Kunwar, Niraj & Cetin, Kristen S. & Passe, Ulrike & Zhou, Xiaohui & Li, Yunhua, 2020. "Energy savings and daylighting evaluation of dynamic venetian blinds and lighting through full-scale experimental testing," Energy, Elsevier, vol. 197(C).
    6. 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).
    7. Ana Ogando-Martínez & Javier López-Gómez & Lara Febrero-Garrido, 2018. "Maintenance Factor Identification in Outdoor Lighting Installations Using Simulation and Optimization Techniques," Energies, MDPI, vol. 11(8), pages 1-13, August.
    8. Tian Han & Qiong Huang & Anxiao Zhang & Qi Zhang, 2018. "Simulation-Based Decision Support Tools in the Early Design Stages of a Green Building—A Review," Sustainability, MDPI, vol. 10(10), pages 1-23, October.
    9. Taveres-Cachat, Ellika & Lobaccaro, Gabriele & Goia, Francesco & Chaudhary, Gaurav, 2019. "A methodology to improve the performance of PV integrated shading devices using multi-objective optimization," Applied Energy, Elsevier, vol. 247(C), pages 731-744.
    10. 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).
    11. Baloch, Ashfaque Ahmed & Shaikh, Pervez Hameed & Shaikh, Faheemullah & Leghari, Zohaib Hussain & Mirjat, Nayyar Hussain & Uqaili, Muhammad Aslam, 2018. "Simulation tools application for artificial lighting in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3007-3026.
    12. Al-Saadi, Saleh Nasser & Shaaban, Awni K., 2019. "Zero energy building (ZEB) in a cooling dominated climate of Oman: Design and energy performance analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 299-316.

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