Multi-objective Optimization Design of Adaptive Shading Devices for Office Buildings Considering Daylighting and Visual Comfort

الموضوعات :

Sayyed Mohammad Mahdi Mirmomtaz ¹ , Mohammad Baharvand ² , Narges Dehghan ³ , Tabassom Safikhani ⁴

1 - Department of Architecture, Institute of Society and Media, ISF.C., Islamic Azad University, Isfahan, Iran.
2 - Department of Architecture, Institute of Society and Media, ISF.C., Islamic Azad University, Isfahan, Iran.
3 - Advancement in Architecture and Urban Planning Research Center, Na.C., Islamic Azad University, Najafabad, Iran.
4 - Tourism, Architecture and Urban Research Center, ISF.C., Islamic Azad University, Isfahan, Iran.

تاريخ الإرسال : 29 الأربعاء , رجب, 1446 تاريخ التأكيد : 13 الأحد , ربيع الثاني, 1447 تاريخ الإصدار : 17 الخميس , ربيع الثاني, 1447

الکلمات المفتاحية: Shading systems, Daylighting, Visual comfort, Adaptive shading device, Multi-objective optimization,

ملخص المقالة :

Adaptive shading devices offer architects a range of opportunities. These devices not only contribute to unique features and characteristics in building envelopes but, with appropriate design and principled implementation, also enhance visual conditions in interior spaces by providing sufficient levels of daylighting and improving visual comfort. Additionally, they reduce lighting energy consumption in buildings. This study examines four types of adaptive shading systems designed to optimize daylighting and visual comfort. Using a multi-objective optimization approach, various configurations of these systems are examined within the context of a reference office model to achieve a balance between the discussed objectives. For each season, the design alternatives with the highest fitness scores are identified. The findings highlight the relative advantages of horizontal louvers and horizontal sun-breakers over other shading devices. These two adaptive systems provide the reference model with satisfactory daylighting levels (i.e., ). Furthermore, regarding glare reduction, full visual comfort is achieved in spring and summer. In fall and winter, when sunlight entering through the southern façade is likely to produce glare, visual comfort is improved by approximately 43% compared to the base case.

المصادر:

Ayoub, M. (2019). 100 Years of Daylighting: A chronological Review of Daylight Prediction and Calculation Methods. Solar Energy, 194, 360-390. https://doi.org/10.1016/j.solener.2019.10.072
Ayyappan, K. L., & Kumari, R. M. (2018). A Review on the Application of Kinetic Architecture in Building Façades. Journal of International Research Journal of Engineering and Technology (IRJET), 5:1726-1743. https://www.irjet.net/archives/V5/i8/IRJET-V5I8298.pdf
Bahdad, A. A. S., Fadzil, S. F. S., Onubi, H. O., & BenLasod, S. A. (2021). Sensitivity Analysis Linked to Multi-objective Optimization for Adjustments of Light-Shelves Design Parameters in Response to Visual Comfort and Thermal Energy Performance. Journal of Building Engineering, 44, 102996. https://doi.org/10.1016/j.jobe.2021.102996
Bakr, A. O. (2019). Kinetic Façades: the New Paradigm Shift in Architecture Toward an Environmental Design Performance. Journal of Arts, Literature, Humanities and Social Sciences, 43, 577-590. https://doi.org/10.33193/JALHSS.43.29
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. https://doi:10.1016/j.rser.2015.03.062
Costa-Carrapiço, I., Raslan, R., & González, J. N. (2020). A Systematic Review of Genetic Algorithm-based Multi-objective Optimisation for Building Retrofitting Strategies Towards Energy Efficiency. Energy and Buildings, 210. https://doi:10.1016/j.enbuild.2019.109690
Deb, K. (2011). Multi-objective Optimisation Using Evolutionary Algorithms: An Introduction. In L. Wang, A. H. C. Ng, & K. Deb (Eds.), Multi-objective Evolutionary Optimisation for Product Design and Manufacturing (pp. 3-34). London: Springer London. https://doi:0.1109/ACCESS.2020.2990567
Doumpos, M., Figueira, J. R., Greco, S., & Zopounidis, C. (2019). New Perspectives in Multiple Criteria Decision Making: Innovative Applications and Case Studies: Springer International Publishing. https://link.springer.com/book/10.1007/978-3-030-11482-4
Fadaii Ardestani, M. A., Nasseri Mobaaraki, H., Ayatollahi, M. R., & Zomorrodian, Z. S. (2019). The Assessment of Daylight and Glare in Classrooms Using Dynamic Indicators: The Case of SBU Faculty of Architecture and Urban Planning. Soffeh, 28(83), 25–40. [In Persian]. Retrieved October 15, 2024, from https://soffeh.sbu.ac.ir/article_100759.html
Jones, N. L. (2019). Fast Climate-based Glare Analysis and Spatial Mapping. In Proceedings of Building Simulation 2019: 16th Conference of IBPSA. Rome, Italy: IBPSA. Retrieved November 19, 2024, from https://www.researchgate.net/publication/335473181
Kangazian, A. (2022). Designing an Office Building in Isfahan City with Simultaneous Optimization of Energy Consumption and Visual Comfort Approach (Via Parametric Simulation of Daylight Control Systems)] [Master's thesis, Yazd University]. [In Persian]. Retrieved November 8, 2024, from https://ganj.irandoc.ac.ir/#/articles/1db8a93d69516a8ff297f7bc2df49563
Kangazian, A., & Emadian Razavi, S. Z. (2023). Multi-criteria Evaluation of Daylight Control Systems of Office Buildings Considering Daylighting, Glare, and Energy Consumption. Solar Energy, 263, 111928. https://doi.org/10.1016/j.solener.2023.111928
Kheiri, F. (2018). A Review on Optimization Methods Applied in Energy-efficient Building Geometry and Envelope Design. Renewable and Sustainable Energy Reviews, 92, 897–920. https://doi.org/10.1016/j.rser.2018.04.080
Kheyri, N., & Khalili, A. (2022). Daylight Quality Evaluation of Pardis Architecture Atelier Building, Faculty of Fine Arts, Tehran. Journal of Life Space, 1(2), 41–58. [In Persian]. Retrieved October 29, 2024, from https://sanad.iau.ir/Journal/lsj/Article/951822
Konis, K., Gamas, A., & Kensek, K. (2016). Passive Performance and Building Form: An Optimization Framework for Early-stage Design Support. Solar Energy, 125, 161–179. https://doi.org/10.1016/j.solener.2015.12.020
Mahmoud, A. H. A., & Elghazi, Y. (2016). Parametric-based Designs for Kinetic Façades to Optimize Daylight Performance: Comparing Rotation and Translation Kinetic Motion for Hexagonal Façade Patterns. Solar Energy, 126, 111–127. https://doi.org/10.1016/j.solener.2015.12.039
Rostamzad, S., Feizi, M., Sanaieian, H., & Khakzand, M. (2021). Parametric Design of a Kinetic Façade for the Improvement of Daylight Performance and Visual Comfort: Case Study of an Office Space in Tehran. Journal of Architecture and Urban Planning, 13(31), 85–100. [In Persian]. https://doi.org/10.30480/aup.2020.2421.1464
Toutou, A., Fikry, M., & Mohamed, W. (2018). The Parametric-Based Optimization Framework: Daylighting and Energy Performance in Residential Buildings in Hot Arid Zone. Alexandria Engineering Journal, 57(4), 3595–3608. https://doi.org/10.1016/j.aej.2018.04.006
Wang, L., Ng, A. H. C., & Deb, K. (Eds.). (2011). Multi-objective Evolutionary Optimisation for Product Design and Manufacturing (1st ed.). Springer. https://doi.org/10.1007/978-0-85729-652-8
Waseef, A. A., & El-Mowafy, B. N. (2017). Towards a New Classification for Responsive Kinetic Façades. In Proceedings of the Memaryat International Conference (MIC), Jeddah, Saudi Arabia. Retrieved November 26, 2024, from https://www.academia.edu/download/87699055/TOWARDS_A_NEW_CLASSIFICATION_FOR_RESPONSIVE_KINETIC_FACADES.pdf
Werner, C. D. M. (2013). Transformable and Transportable Architecture: Analysis of Buildings Components and Strategies for Project Design [Master's thesis, Universitat Politècnica de Catalunya]. Retrieved October 7, 2024, from https://upcommons.upc.edu/bitstreams/d5b68f1f-ebad-4e2f-a8f3-4f3a0823202c/download
Yang, X.-S. (2014). Multi-objective Optimization. In X.-S. Yang (Ed.), Nature-inspired Optimization Algorithms (pp. 197–211). Elsevier. https://www.researchgate.net/publication/263171713_Nature-Inspired_Optimization_Algorithms
Zarkesh, A., Shahmoradi, M., & Yeganeh, M. (2023). Energy Consumption Optimization and Visual Comfort in Office Space Using Dynamic Shading Devices. Journal of Sustainable Architecture and Urban Design, 11(1), 1–28. [In Persian]. https://doi.org/10.22061/jsaud.2023.9240.2078
Zomorodian, Z. S., & Tahsildoost, M. (2017). Assessment of Window Performance in Classrooms by Long-term Spatial Comfort Metrics. Energy and Buildings, 134, 80–93. https://doi.org/10.1016/j.enbuild.2016.10.018