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Feasibility Study on Parametric Optimization of Daylighting in Building Shading Design

Author

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  • Kyung Sun Lee

    (School of Architecture, Hongik University, 94 Wausan-ro, Mapo-gu, Seoul 02481, Korea)

  • Ki Jun Han

    (Digit, 12, Dongmak-ro 2-gil, Mapo-gu, Seoul 04071, Korea)

  • Jae Wook Lee

    (School of Architecture, University of Illinois at Urbana-Champaign, Champaign, IL 61820, USA)

Abstract

Shading design to optimize daylighting is in many cases achieved through a designer’s sense based on prior knowledge and experience. However, computer-assisted parametric techniques can be utilized for daylighting design in an easy and much more accurate way. If such tools are utilized in the early stages of a project, this can be more effective for sustainable design. This study compares the conventional approach, which depends on a designer’s sense of judgment to create optimal indoor lighting conditions by adjusting louver shapes and window patterns, with the approach of making use of genetic algorithms. Ultimately, this study discusses the advantages and disadvantages of those two approaches. As a starting point, 30 designers were instructed to design a facade by manually adjusting several input parameters of shading. The parameters govern six kinds of louver and window types, with the ratio of analysis grid surface area achieving a daylight factor of 2%–5%. Secondly, input parameters were automatically created by using genetic algorithm optimization methods to find optimal fitness data. As a conclusion, conventional approaches result in a strong disposition toward designing certain shading types represented by linear relationships. Computer-assisted daylight simulation can help influence this, being effective when dealing with a large amount of data and non-linear relationships.

Suggested Citation

  • Kyung Sun Lee & Ki Jun Han & Jae Wook Lee, 2016. "Feasibility Study on Parametric Optimization of Daylighting in Building Shading Design," Sustainability, MDPI, vol. 8(12), pages 1-16, November.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:12:p:1220-:d:83656
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    References listed on IDEAS

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    1. Muhammad Arkam C. Munaaim & Karam M. Al-Obaidi & Mohd Rodzi Ismail & Abdul Malek Abdul Rahman, 2014. "Empirical Evaluation of the Effect of Heat Gain from Fiber Optic Daylighting System on Tropical Building Interiors," Sustainability, MDPI, vol. 6(12), pages 1-13, December.
    2. Fabrizio Ascione & Nicola Bianco & Rosa Francesca De Masi & Gerardo Maria Mauro & Giuseppe Peter Vanoli, 2015. "Design of the Building Envelope: A Novel Multi-Objective Approach for the Optimization of Energy Performance and Thermal Comfort," Sustainability, MDPI, vol. 7(8), pages 1-28, August.
    3. Richard Fiifi Turkson & Fuwu Yan & Mohamed Kamal Ahmed Ali & Bo Liu & Jie Hu, 2016. "Modeling and Multi-Objective Optimization of Engine Performance and Hydrocarbon Emissions via the Use of a Computer Aided Engineering Code and the NSGA-II Genetic Algorithm," Sustainability, MDPI, vol. 8(1), pages 1-15, January.
    4. María Beatriz Piderit Moreno & Constanza Yañez Labarca, 2015. "Methodology for Assessing Daylighting Design Strategies in Classroom with a Climate-Based Method," Sustainability, MDPI, vol. 7(1), pages 1-18, January.
    5. Chang Heon Cheong & Taeyeon Kim & Seung-Bok Leigh, 2014. "Thermal and Daylighting Performance of Energy-Efficient Windows in Highly Glazed Residential Buildings: Case Study in Korea," Sustainability, MDPI, vol. 6(10), pages 1-23, October.
    6. Galatioto, A. & Beccali, M., 2016. "Aspects and issues of daylighting assessment: A review study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 852-860.
    7. Deal, Brian & Schunk, Daniel, 2004. "Spatial dynamic modeling and urban land use transformation: a simulation approach to assessing the costs of urban sprawl," Ecological Economics, Elsevier, vol. 51(1-2), pages 79-95, November.
    8. Heidar Sadeghzadeh & Mehdi Aliehyaei & Marc A. Rosen, 2015. "Optimization of a Finned Shell and Tube Heat Exchanger Using a Multi-Objective Optimization Genetic Algorithm," Sustainability, MDPI, vol. 7(9), pages 1-17, August.
    9. Lee, J.W. & Jung, H.J. & Park, J.Y. & Lee, J.B. & Yoon, Y., 2013. "Optimization of building window system in Asian regions by analyzing solar heat gain and daylighting elements," Renewable Energy, Elsevier, vol. 50(C), pages 522-531.
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    Cited by:

    1. Nari Yoon & Mary Ann Piette & Jung Min Han & Wentao Wu & Ali Malkawi, 2020. "Optimization of Window Positions for Wind-Driven Natural Ventilation Performance," Energies, MDPI, vol. 13(10), pages 1-25, May.
    2. Sewon Lee & Kyung Sun Lee, 2019. "A Study on the Improvement of the Evaluation Scale of Discomfort Glare in Educational Facilities," Energies, MDPI, vol. 12(17), pages 1-21, August.
    3. Fabrizio M. Amoruso & Udo Dietrich & Thorsten Schuetze, 2019. "Integrated BIM-Parametric Workflow-Based Analysis of Daylight Improvement for Sustainable Renovation of an Exemplary Apartment in Seoul, Korea," Sustainability, MDPI, vol. 11(9), pages 1-29, May.
    4. Dušan Katunský & Erika Dolníková & Bystrík Dolník, 2018. "Daytime Lighting Assessment in Textile Factories Using Connected Windows in Slovakia: A Case Study," Sustainability, MDPI, vol. 10(3), pages 1-20, February.
    5. In-Tae Kim & Yu-Sin Kim & Meeryoung Cho & Hyeonggon Nam & Anseop Choi & Taeyon Hwang, 2019. "High-Performance Accuracy of Daylight-Responsive Dimming Systems with Illuminance by Distant Luminaires for Energy-Saving Buildings," Energies, MDPI, vol. 12(4), pages 1-21, February.
    6. Kyung Sun Lee & Ki Jun Han & Jae Wook Lee, 2017. "The Impact of Shading Type and Azimuth Orientation on the Daylighting in a Classroom–Focusing on Effectiveness of Façade Shading, Comparing the Results of DA and UDI," Energies, MDPI, vol. 10(5), pages 1-20, May.
    7. In-Tae Kim & Yu-Sin Kim & Hyeonggon Nam & Taeyon Hwang, 2018. "Advanced Dimming Control Algorithm for Sustainable Buildings by Daylight Responsive Dimming System," Sustainability, MDPI, vol. 10(11), pages 1-15, November.

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