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Daylighting and visual comfort of oriental sun responsive skins: A parametric analysis

  • Research Article
  • Building Thermal, Lighting, and Acoustics Modeling
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Abstract

This study reports on developing an innovative approach for the parametric analysis of daylighting and visual comfort, through a sun responsive shading system. The objective is estimating the annual daylight metrics and indoor glare discomfort. To this end, a review of the literature was carried out on three key concepts: smart facades, visual comfort, and parametric design, in order to develop a dynamic pattern of an oriental system for enhancing the daylight and visual performance. Afterwards, two geometrical components (Rosette modules and louvers) were applied, using Grasshopper plug-in for Rhino and daylighting plug-in DIVA, to investigate the indoor daylight quality through different geometrical and physical properties. This resulted in generating 6480 design variants, when several variables (rotation, distance to facade, time hours, transmittance properties and colors) that affect incoming daylight as well as visual comfort performance in a single office space in the hot-arid climate of Tehran were taken into account. Interactive correlations between the overall performance of kinetic patterns and visual performance were investigated through an optimization process. Analyses showed that the proposed approach is capable of significantly improving the shading flexibility to control daylight metrics and glare, via a full potential adaptive pattern to achieve the maximum visual comfort level based on LEEDv4 certificate.

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References

  • Abdullahi Y, Embi MRB (2013). Evolution of Islamic geometric patterns. Frontiers of Architectural Research, 2: 243–251.

    Article  Google Scholar 

  • Banihashemi S, Hassanabadi MS, Sadeghifam AN (2012). Analysis of behavior of windows in terms of saving energy in extreme cold weather climes of Iran. International Journal of Engineering and Technology, 4: 676–679.

    Article  Google Scholar 

  • Banihashemi S, Golizadeh H, Hosseini MR, Shakouri M (2015). Climatic, parametric and non-parametric analysis of energy performance of double-glazed windows in different climates. International Journal of Sustainable Built Environment, 4: 307–322.

    Article  Google Scholar 

  • Banihashemi S, Tabadkani A, Hosseini MR (2017). Modular coordination-based generative algorithm to optimize construction waste. Procedia Engineering, 180: 631–639.

    Article  Google Scholar 

  • World Bank (2014). World Development Indicators 1960–2013. Washington DC: World Bank.

    Google Scholar 

  • Bellia L, Fragliasso F, Stefanizzi E (2017). Daylit offices: A comparison between measured parameters assessing light quality and users’ opinions. Building and Environment, 113: 92–106.

    Article  Google Scholar 

  • Bodart M, Cauwerts C (2017). Assessing daylight luminance values and daylight glare probability in scale models. Building and Environment, 113: 210–219.

    Article  Google Scholar 

  • Boyce P, Hunter C, Howlett O (2003). The benefits of daylight through windows. Rensselaer Polytechnic Institute.

    Google Scholar 

  • Carlucci S, Causone F, De Rosa F, Pagliano L (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, 47: 1016–1033.

    Article  Google Scholar 

  • Costa A, Keane MM, Torrens JI, Corry E (2013). Building operation and energy performance: Monitoring, analysis and optimisation toolkit. Applied Energy, 101: 310–316.

    Article  Google Scholar 

  • USGBC (2015). Leadership in Energy and Environmental Design (LEED). U.S. Green Building Council.

    Google Scholar 

  • Duffy JF, Czeisler CA (2009). Effect of light on human circadian physiology. Sleep Medicine Clinics, 4: 165–177.

    Article  Google Scholar 

  • ECS (2011a.) EN 12464-1. Light and lighting—Lighting of work places—Indoor work places. Brussels: European Committee for Standardization.

    Google Scholar 

  • ECS (2011b). EN 12665. Light and lighting—Basic terms and criteria for specifying lighting requirements. Brussels: European Committee for Standardization.

    Google Scholar 

  • El ouaazizi A, Nasri A, Benslimane R (2015). A rotation symmetry group detection technique for the characterization of Islamic Rosette Patterns. Pattern Recognition Letters, 68: 111–117.

    Article  Google Scholar 

  • Favoino F, Fioritio F, Cannavale A, Ranzi G, Overend M (2016). Optimal control and performance of photovoltachromic switchable glazing for building integration in temperate climates. Applied Energy, 178: 943–961.

    Article  Google Scholar 

  • Greenberg D, Pratt K, Hencey B, Jones N, Schumann L, Dobbs J, Dong Z, Bosworth D, Walter B (2013). Sustain: An experimental test bed for building energy simulation. Energy and Buildings, 58: 44–57.

    Article  Google Scholar 

  • Gunay HB, O’Brien W, Beausoleil-Morrison I, Gilani S (2017). Development and implementation of an adaptive lighting and blinds control algorithm. Building and Environment, 113: 185–199.

    Article  Google Scholar 

  • Gürsel Dino | (2012). Creative design exploration by parametric generative systems in architecture. METU Journal of Faculty of the Architecture, 29(1): 207–224.

    Google Scholar 

  • Hassanabadi MS, Banihashemi S (2012). Developing an empirical predictive energy-rating model for windows by using Artificial Neural Network. International Journal of Green Energy, https://doi.org/10.1080/15435075.2012.738451.

    Google Scholar 

  • Hassanabadi MS, Banihashemi S, Javaheri AR (2012). Analysis and comparison of impacts of design optimization approaches with occupant behavior on energy consumption reduction in residential buildings. International Journal of Engineering and Technology, 4: 680–683.

    Article  Google Scholar 

  • IESNA (2012). LM-83-12 IES. Spatial Daylight Autonomy (sDA) and Annual Sunlight Exposure (ASE). New York, NY: IESNA Lighting Measurement.

    Google Scholar 

  • Jacobs A (2012). Radiance Cookbook. Available at http://www.radianceonline. org.

    Google Scholar 

  • Jakubiec JA, Reinhart CF (2011). DIVA 2.0: Integrating daylight and thermal simulations using Rhinoceros 3D, Daysim and EnergyPlus. In: Proceedings of the 12th International IBPSA Building Simulation Conference, Sydney, Australia, pp. 2202–2209.

    Google Scholar 

  • Karanouh A, Kerber E (2015). Innovations in dynamic architecture. Journal of Facade Design and Engineering, 3: 185–221.

    Article  Google Scholar 

  • Klepeis NE, Nelson WC, Ott WR, Robinson JP, Tsang AM, Switzer P, Behar JV, Hern SC, Engelmann WH (2001). The National Human Activity Pattern Survey (NHAPS): A resource for assessing exposure to environmental pollutants. Journal of Exposure Science and Environmental Epidemiology, 11: 231–252.

    Article  Google Scholar 

  • Konis K (2017). A novel circadian daylight metric for building design and evaluation. Building and Environment, 113: 22–38.

    Article  Google Scholar 

  • Konstantzos I, Tzempelikos A (2017). Daylight glare evaluation with the sun in the field of view through window shades. Building and Environment, 113: 65–77.

    Article  Google Scholar 

  • Lavin C, Fiorito F (2017). Optimization of an external perforated screen for improved daylighting and thermal performance of an office space. Procedia Engineering, 180: 571–581.

    Article  Google Scholar 

  • Leach N (2009). Digital morphogenesis. Architectural Design, 79: 32–37.

    Article  Google Scholar 

  • Loonen RCGM, Trčka M, Cóstola D, Hensen JLM (2013). Climate adaptive building shells: State-of-the-art and future challenges. Renewable and Sustainable Energy Reviews, 25: 483–493.

    Article  Google Scholar 

  • López M, Rubio R, Martín S, Croxford B, Jackson R (2015). Active materials for adaptive architectural envelopes based on plant adaptation principles. Journal of Facade Design and Engineering, 3: 27–38.

    Article  Google Scholar 

  • Mahmoud AHA, Elghazi Y (2016). Parametric-based designs for kinetic facades to optimize daylight performance: Comparing rotation and translation kinetic motion for hexagonal facade patterns. Solar Energy, 126: 111–127.

    Article  Google Scholar 

  • Narangerel A, Lee J-H, Stouffs R (2016). Daylighting Based Parametric Design Exploration of 3D Facade Patterns. In: Proceedings of the 34th eCAADe Conference, At Oulu, Finland, Pauley

    Google Scholar 

  • SM (2004). Lighting for the human circadian clock: Recent research indicates that lighting has become a public health issue. Medical Hypotheses, 63: 588–596.

    Article  Google Scholar 

  • Pellegrino A, Cammarano S, Lo Verso VRM, Corrado V (2017). Impact of daylighting on total energy use in offices of varying architectural features in Italy: Results from a parametric study. Building and Environment, 113: 151–162.

    Article  Google Scholar 

  • Pesenti M, Masera G, Fiorito F (2015). Shaping an Origami shading device through visual and thermal simulations. Energy Procedia, 78: 346–351.

    Article  Google Scholar 

  • Reinhart CF (2004). Lightswitch-2002: A model for manual and automated control of electric lighting and blinds. Solar Energy, 77: 15–28.

    Article  Google Scholar 

  • Reinhart CF, Mardaljevic J, Rogers Z (2006). Dynamic daylight performance metrics for sustainable building design. Leukos, 3: 7–31.

    Google Scholar 

  • Reinhart CF, Wienold J (2011). The daylighting dashboard—A simulation-based design analysis for daylit spaces. Building and Environment, 46: 386–396.

    Article  Google Scholar 

  • Reinhart CF (2014). Daylighting Handbook I: Fundamentals; Designing with the Sun.

    Google Scholar 

  • Rogers Z (2006). Daylighting metric development using daylight autonomy calculations in the sensor placement optimization tool. Available at http://www. archenergy. com/SPOT/SPOT_Daylight% 20Autonomy% 20Report. pdf.

    Google Scholar 

  • Rubiño M, Cruz A, Garcia JA, Hita E (1994). Discomfort glare indices: a comparative study. Applied Optics, 33: 8001–8008.

    Article  Google Scholar 

  • Rutten D (2013). Galapagos: On the logic and limitations of generic solvers. Architectural Design, 83: 132–135.

    Article  Google Scholar 

  • Thornton Tomasetti (2017). Design Explorer. Github. Available at http://tt-acm.github.io/DesignExplorer.

    Google Scholar 

  • Tzempelikos A, Athienitis AK (2007). The impact of shading design and control on building cooling and lighting demand. Solar Energy, 81: 369–382.

    Article  Google Scholar 

  • Ward GJ (1994). The RADIANCE lighting simulation and rendering system. In: Proceedings of the 21st International ACM Conference on Computer Graphics and Interactive Techniques, Orlando, FL, USA, pp. 459–472.

    Google Scholar 

  • Wienold J, Christoffersen J (2006). Evaluation methods and development of a new glare prediction model for daylight environments with the use of CCD cameras. Energy and Buildings, 38: 743–757.

    Article  Google Scholar 

  • Yun G, Park DY, Kim KS (2017). Appropriate activation threshold of the external blind for visual comfort and lighting energy saving in different climate conditions. Building and Environment, 113: 247–266.

    Article  Google Scholar 

Download references

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Correspondence to Amir Tabadkani.

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Tabadkani, A., Banihashemi, S. & Hosseini, M.R. Daylighting and visual comfort of oriental sun responsive skins: A parametric analysis. Build. Simul. 11, 663–676 (2018). https://doi.org/10.1007/s12273-018-0433-0

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  • DOI: https://doi.org/10.1007/s12273-018-0433-0

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