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A Study on Parametric Design Method for Optimization of Daylight in Commercial Building’s Atrium in Cold Regions

Author

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  • Yibing Xue

    (School of Architecture and Urban Planning, Shandong Jianzhu University, Jinan 250100, China)

  • Wenhan Liu

    (School of Architecture and Urban Planning, Shandong Jianzhu University, Jinan 250100, China)

Abstract

With the development of urbanization, more and more commercial buildings are built in cities, which is resulting in a large amount of building energy consumption that threatens the ecological environment of the earth. Lighting energy in commercial buildings occupies a large proportion of consumption, and improving the quality of natural daylight in commercial atriums is of great significance for building energy efficiency as well as improving indoor comfort. This paper proposes a method for optimizing the daylight quality of commercial atriums. Starting from the perspective of parametric design, this paper investigates the current status and theoretical research on the natural daylight of commercial atriums in cold regions, taking Jinan, China, as an example. Dynamic daylight and glare simulations were performed using Rhino + Grasshopper and Ladybug + Honeybee for every design parameter in the system, followed by correlation analysis and multiple linear regression analysis using SPSS to determine the degree of influence of each design parameter on the daylight quality of the atrium. Based on the results of the above analysis, the multi-objective optimization plug-in Octopus is used to find the combination of design parameters that can achieve the best indoor daylight. The results show that among a total of fourteen atrium design parameters, seven of them are significantly correlated with atrium daylight, and after regression analysis, it is found that the atrium design parameters affect the atrium daylight and glare in the following order: Skylight VT, Skylight ratio, Atrium inclination, Fabric coverage, Fabric VT, Wall reflectivity, Roof reflectivity. The optimal design parameters for commercial atrium daylight quality are obtained according to the Pareto front solution set, which provides some reference and ideas for improving the optimization of commercial atrium daylight in cold regions of China.

Suggested Citation

  • Yibing Xue & Wenhan Liu, 2022. "A Study on Parametric Design Method for Optimization of Daylight in Commercial Building’s Atrium in Cold Regions," Sustainability, MDPI, vol. 14(13), pages 1-22, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:7667-:d:846082
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    References listed on IDEAS

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    1. Acosta, Ignacio & Varela, Carmen & Molina, Juan Francisco & Navarro, Jaime & Sendra, Juan José, 2018. "Energy efficiency and lighting design in courtyards and atriums: A predictive method for daylight factors," Applied Energy, Elsevier, vol. 211(C), pages 1216-1228.
    2. Ignacio Acosta & Jaime Navarro & Juan J. Sendra, 2011. "Towards an Analysis of Daylighting Simulation Software," Energies, MDPI, vol. 4(7), pages 1-15, June.
    3. Li, Wenliang & Zhou, Yuyu & Cetin, Kristen & Eom, Jiyong & Wang, Yu & Chen, Gang & Zhang, Xuesong, 2017. "Modeling urban building energy use: A review of modeling approaches and procedures," Energy, Elsevier, vol. 141(C), pages 2445-2457.
    4. Cheng, Yuanda & Gao, Min & Dong, Jiankai & Jia, Jie & Zhao, Xudong & Li, Guiqiang, 2018. "Investigation on the daylight and overall energy performance of semi-transparent photovoltaic facades in cold climatic regions of China," Applied Energy, Elsevier, vol. 232(C), pages 517-526.
    5. Heiselberg, Per & Brohus, Henrik & Hesselholt, Allan & Rasmussen, Henrik & Seinre, Erkki & Thomas, Sara, 2009. "Application of sensitivity analysis in design of sustainable buildings," Renewable Energy, Elsevier, vol. 34(9), pages 2030-2036.
    6. Jie Li & Qichao Ban & Xueming (Jimmy) Chen & Jiawei Yao, 2019. "Glazing Sizing in Large Atrium Buildings: A Perspective of Balancing Daylight Quantity and Visual Comfort," Energies, MDPI, vol. 12(4), pages 1-14, February.
    7. Freewan, Ahmed A. & Shao, Li & Riffat, Saffa, 2009. "Interactions between louvers and ceiling geometry for maximum daylighting performance," Renewable Energy, Elsevier, vol. 34(1), pages 223-232.
    8. Li, Danny H.W., 2010. "A review of daylight illuminance determinations and energy implications," Applied Energy, Elsevier, vol. 87(7), pages 2109-2118, July.
    9. Rakha, Tarek & Nassar, Khaled, 2011. "Genetic algorithms for ceiling form optimization in response to daylight levels," Renewable Energy, Elsevier, vol. 36(9), pages 2348-2356.
    10. Myunghwan Oh & Minsu Jang & Jaesik Moon & Seungjun Roh, 2019. "Evaluation of Building Energy and Daylight Performance of Electrochromic Glazing for Optimal Control in Three Different Climate Zones," Sustainability, MDPI, vol. 11(1), pages 1-23, January.
    11. Mangkuto, Rizki A. & Rohmah, Mardliyahtur & Asri, Anindya Dian, 2016. "Design optimisation for window size, orientation, and wall reflectance with regard to various daylight metrics and lighting energy demand: A case study of buildings in the tropics," Applied Energy, Elsevier, vol. 164(C), pages 211-219.
    12. Li, Hangxin & Wang, Shengwei & Cheung, Howard, 2018. "Sensitivity analysis of design parameters and optimal design for zero/low energy buildings in subtropical regions," Applied Energy, Elsevier, vol. 228(C), pages 1280-1291.
    13. Khoroshiltseva, Marina & Slanzi, Debora & Poli, Irene, 2016. "A Pareto-based multi-objective optimization algorithm to design energy-efficient shading devices," Applied Energy, Elsevier, vol. 184(C), pages 1400-1410.
    14. Chow, Stanley K.H. & Li, Danny H.W. & Lee, Eric W.M. & Lam, Joseph C., 2013. "Analysis and prediction of daylighting and energy performance in atrium spaces using daylight-linked lighting controls," Applied Energy, Elsevier, vol. 112(C), pages 1016-1024.
    15. Ran Yi & Li Shao & Yuehong Su & Saffa Riffat, 2009. "Daylighting performance of atriums in subtropical climate," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 4(4), pages 230-237, June.
    16. Delgarm, N. & Sajadi, B. & Kowsary, F. & Delgarm, S., 2016. "Multi-objective optimization of the building energy performance: A simulation-based approach by means of particle swarm optimization (PSO)," Applied Energy, Elsevier, vol. 170(C), pages 293-303.
    17. Ochoa, Carlos E. & Aries, Myriam B.C. & van Loenen, Evert J. & Hensen, Jan L.M., 2012. "Considerations on design optimization criteria for windows providing low energy consumption and high visual comfort," Applied Energy, Elsevier, vol. 95(C), pages 238-245.
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    6. Zihan Zhang & Wanjiang Wang & Junkang Song & Zhe Wang & Weiyi Wang, 2022. "Multi-Objective Optimization of Ultra-Low Energy Consumption Buildings in Severely Cold Regions Considering Life Cycle Performance," Sustainability, MDPI, vol. 14(24), pages 1-17, December.

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