تحلیل عملکرد رف نوری در ترکیب با پنجره در بهبود شرایط آسایش بصری و کارآیی انرژی در فضای آموزشی (موردپژوهی: آتلیه‌ معماری دانشگاه آزاد اسلامی اصفهان)

#Acosta, I., Campano, M. Á., Leslie, R., & Radetsky, L. (2019). Daylighting design for healthy environments: Analysis of educational spaces for optimal circadian stimulus. Solar Energy, 193, 584-596. https://doi.org/10.1016/j.solener.2019.10.004

Ascione, F., Bianco, N., De Masi, R. F., Mauro, G. M., & Vanoli, G. P. (2015). Design of the Building Envelope: A Novel Multi-Objective Approach for the Optimization of Energy Performance and Thermal Comfort. Sustainability, 7(8), 10809-10836. https://doi.org/10.3390/su70810809

Bahdad, A., Syed Fadzil, S., & Taib, N. (2020). Optimization of Daylight Performance Based on Controllable Light-shelf Parameters using Genetic Algorithms in the Tropical Climate of Malaysia. Journal of Daylighting, 7, 122-136.  https://dx.doi.org/10.15627/jd.2020.10

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.

Bakmohammadi, P., & Noorzai, E. (2020). Optimization of the design of the primary school classrooms in terms of energy and daylight performance considering occupants’ thermal and visual comfort. Energy Reports, 6, 1590-1607. https://doi.org/10.1016/j.egyr.2020.06.008

Bellia, L., Musto, M., & Spada, G. (2011). Illuminance measurements through HDR imaging photometry in scholastic environment. Energy and Buildings, 43(10), 2843-2849. https://doi.org/10.1016/j.enbuild.2011.07.006

Berardi, U., & Anaraki, H. K. (2015). Analysis of the Impacts of Light Shelves on the Useful Daylight Illuminance in Office Buildings in Toronto. Energy Procedia, 78, 1793-1798. https://doi.org/10.1016/j.egypro.2015.11.310

Berardi, U., & Anaraki, H. K. (2016). The benefits of light shelves over the daylight illuminance in office buildings in Toronto. Indoor and Built Environment, 27(2), 244-262. https://doi.org/10.1177/1420326X16673413

Ebrahimi-Moghadam, A., Ildarabadi, P., Aliakbari, K., Arabkoohsar, A., & Fadaee, F. (2020). Performance analysis of light shelves in providing visual and thermal comfort and energy savings in residential buildings. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 42. https://doi.org/10.1007/s40430-020-02565-2

Ebrahimi-Moghadam, A., Ildarabadi, P., Aliakbari, K., & Fadaee, F. (2020). Sensitivity analysis and multi-objective optimization of energy consumption and thermal comfort by using interior light shelves in residential buildings. Renewable Energy, 159, 736-755. https://doi.org/10.1016/j.renene.2020.05.127.

Fadaii Ardestani, M. A., Nasseri Mobaaraki, H., Ayatollahi, M. R., & Zomorrodian, Z. S. (2018). The Assessment of Daylight and Glare in Classrooms Using Dynamic Indicators; the Case of SBU Faculty of Architecture and Urban Planning. Soffeh, 28(4), 25-40. https://soffeh.sbu.ac.ir/article_100759.html?lang=en.[in Persian].

Fang, Y., & Cho, S. (2019). Design optimization of building geometry and fenestration for daylighting and energy performance. Solar Energy, 191, 7-18. https://doi.org/10.1016/j.solener.2019.08.039

Heschong, L. (2003). Windows and Classrooms: A Study of Student Performance and the Indoor Environment: California Energy Commission, 2003.https://doi.org/10.13140/RG.2.2.26759.44964

Joarder, P., Ahmed, Z., Price, A., & Mourshed, M. (2009). A simulation assessment of the height of light shelves to enhance daylighting quality in tropical office buildings under overcast sky conditions in Dhaka, Banlgadesh. https://www.researchgate.net/publication/48354594_A_simulation_assessment_of_the_height_of_light_shelves_to_enhance_daylighting_quality_in_tropical_office_buildings_under_overcast_sky_conditions_in_Dhaka_Banlgadesh.

Khanmohamadi, M., Pourahmadi, M., & Mozaffar, F. (2019). Windows optimization based on the glare performance in educational building of Iran hot and dry climate. Journal of Sustainable Architecture and Urban Design, 7(1), 113-128. https://jsaud.sru.ac.ir/article_1158.html?lang=en[in Persian].

Keshtkar Ghalati, A., & Ahmadian, M. (2024). Effects of Window and Light Shelve Configurations on Energy Consumption and Daylight Illuminance in Classrooms. Renewable Energy Research and Applications, 5(1), 107-119. https://doi.org/10.22044/rera.2023.12563.1194.

Kontadakis, A., Tsangrassoulis, A., Doulos, L., & Zerefos, S. (2018). A Review of Light Shelf Designs for Daylit Environments. Sustainability, 10(1), 71. https://doi.org/10.3390/su10010071.

Lee, H. (2019). Performance evaluation of a light shelf with a solar module based on the solar module attachment area. Building and Environment, 159, 106161. https://doi.org/10.1016/j.buildenv.2019.106161.

Li, M., Zheng, J., & Wu, J. (2008). Improving NSGA-II Algorithm Based on Minimum Spanning Tree (Vol. 5361).https://doi.org/10.1007/978-3-540-89694-4_18.

Mahdavinejad, M., Tahbaz, M., & Dolatabadi, M. (2016). Optimization of Properties and Light Shelf System in Architecture of Learning Building. Journal of Fine Arts: Architecture & Urban Planning, 21(2), 81-92. https://jfaup.ut.ac.ir/article_60164.html?lang=en.[in Persian].

Mangkuto, R. A., Feradi, F., Putra, R. E., Atmodipoero, R. T., & Favero, F. (2018). Optimisation of daylight admission based on modifications of light shelf design parameters. Journal of Building Engineering, 18, 195-209. https://doi.org/10.1016/j.jobe.2018.03.007

Mangkuto, R. A., Rohmah, M., & Asri, A. D. (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, 164, 211-219. https://doi.org/10.1016/j.apenergy.2015.11.046

Mangkuto, R. A., Siregar, M. A. A., Handina, A., & Faridah. (2018). Determination of appropriate metrics for indicating indoor daylight availability and lighting energy demand using genetic algorithm. Solar Energy, 170, 1074-1086. https://doi.org/10.1016/j.solener.2018.06.025

Moazzeni, M. H., & Ghiabaklou, Z. (2016). Investigating the Influence of Light Shelf Geometry Parameters on Daylight Performance and Visual Comfort, a Case Study of Educational Space in Tehran, Iran. Buildings, 6(3), 26. https://doi.org/10.3390/buildings6030026.

Moazzeni, M. H., & Ghiabaklou, Z. (2016). Investigating the Influence of Light Shelf Geometry Parameters on Daylight Performance and Visual Comfort, a Case Study of Educational Space in Tehran, Iran. Buildings, 6(3). https://doi.org/10.3390/buildings6030026

Mohammadjavad, M., Mansooreh, T., & Mahnaz, D. (2016). Optimization of Properties and Light Shelf System in Architecture of Learning Building. HOnar - ha - ye - ziba Memari - va - shahrsazi, 21(2), 81-92.https://jfaup.ut.ac.ir/article_60164.html?lang=en .[in Persian].

Motazedian, F., & Mahdavinejad, M. (2015). Light Shelves’ Typology and their Characteristics. Armanshahr Architecture & Urban Development, 8, 91-103. https://www.armanshahrjournal.com/article_39343.html?lang=en .[in Persian].

Najafi, G. s., Gorji Mahlabani, Y., & Pilechiha, P. (2023). Sensitivity analysis and optimization of building geometry with energy-daylight efficiency approach. journal of Sustainable Architecture and Urban Design, 11(1), 45-58. https://jsaud.sru.ac.ir/article_1799.html?lang=en.[in Persian].

Naji, S., Aye, L., & Noguchi, M. (2021). Multi-objective optimisations of envelope components for a prefabricated house in six climate zones. Applied Energy, 282, 116012. https://doi.org/10.1016/j.apenergy.2020.116012

Nasiri, b. s., & zarandi, M. m. (2020). Achieving the Principles of High Performance of Light Shelves Design in Educational Buildings. Journal of Environmental Science and Technology, 2(22), 359-369. https://sanad.iau.ir/en/Article/837011.[in Persian].

Pilechiha, P. (2020). Optimization Methods and Algorithms in Architectural and Urban Design, Basic Mathematical Solutions. Naqshejahan- Basic studies and New Technologies of Architecture and Planning, 10(3), 205-217. https://bsnt.modares.ac.ir/article-2-42128-en.html.[in Persian].

Pilechiha, P., Mahdavinejad, M., Pour Rahimian, F., Carnemolla, P., & Seyedzadeh, S. (2020). Multi-objective optimisation framework for designing office windows: quality of view, daylight and energy efficiency. Applied Energy, 261, 114356.https://doi.org/10.1016/j.apenergy.2019.114356

Province, M. D. o. I.  (2016). Retrieved from https://esfahanmet.ir/Researchese.

R.C. Picker, J. (2017). Radiance Color Picker Retrieved from http://www.jaloxa.eu/resources/radiance/colour_pic

Rafati, N., Hazbei, M., & Eicker, U. (2023). Louver configuration comparison in three Canadian cities utilizing NSGA-II. Building and Environment, 229, 109939. https://doi.org/10.1016/j.buildenv.2022.109939

Rafati, N., Sanaieian, H., & Faizi, M. (2021). Comparison of different louver configurations for daylight and energy optimization in Bandar Abbas and Tabriz. Journal of Fine Arts: Architecture & Urban Planning, 26(3), 71-84. https://jfaup.ut.ac.ir/article_86391.html.[in Persian].

Sabbagh, M., Mandourah, S., & Hareri, R. (2022). Light Shelves Optimization for Daylight Improvement in Typical Public Classrooms in Saudi Arabia. Sustainability, 14(20), 13297.https://doi.org/10.3390/su142013297

Salahsoor, Z., & Zarandi, M. M. (2023). The Effect of the Performance of the Optical Shelf (External) in Creating a Comfortable Environment in Architectural Studios in Latitude 35. Journal of Space and Place Studies, 1(3), 91-102.https://sanad.iau.ir/en/Article/1079648?FullText.[in Persian].

Shafavi, N. S., Tahsildoost, M., & Zomorodian, Z. S. (2020). Investigation of illuminance-based metrics in predicting occupants’ visual comfort (case study: Architecture design studios). Solar Energy, 197, 111-125. https://doi.org/10.1016/j.solener.2019.12.051.

ANSl/ASHRAE/IES Standard 90.1-2022:“Energy Standard for Buildings except Low-Rise Residential Buildings, SI Edition”. American Society of Heating, Refrigerating and Air-Conditioning Engineers. Atlanta, GA. https://nclose.us.com/wp-content/uploads/2024/02/ASHRAE-90.1-2022-.pdf

Tabadkani, A., Roetzel, A., Li, H. X., & Tsangrassoulis, A. (2020). A review of automatic control strategies based on simulations for adaptive facades. Building and Environment, 175, 106801. https://doi.org/10.1016/j.buildenv.2020.106801.

Tabadkani, A., Roetzel, A., Li, H. X., & Tsangrassoulis, A. (2021). Daylight in Buildings and Visual Comfort Evaluation: the Advantages and Limitations. Journal of Daylighting, 8, 181-203. https://doi.org/10.15627/jd.2021.16.

Wortmann, T., & Natanian, J. (2020). Multi-Objective Optimization for Zero-Energy Urban Design in China: A Benchmark.https://www.researchgate.net/publication/341592609_Multi-Objective_Optimization_for_Zero-Energy_Urban_Design_in_China_A_Benchmark.

Wright, J., Brownlee, A., Mourshed, M., & Wang, M. (2013). Multi-objective optimization of cellular fenestration by an evolutionary algorithm. Journal of Building Performance Simulation, 7, 33-51. https://doi.org/10.1080/19401493.2012.762808.

Zazzini, P., Romano, A., Lorenzo, A., Portaluri, V., & Crescenzo, A. (2020). Experimental Analysis of the Performance of Light Shelves in Different Geometrical Configurations Through the Scale Model Approach. Journal of Daylighting, 7, 37-56. https://doi.org/10.15627/jd.2020.4

Ziaee, N., & Vakilinezhad, R. (2022). Multi-objective optimization of daylight performance and thermal comfort in classrooms with light-shelves: Case studies in Tehran and Sari, Iran. Energy and Buildings, 254, 111590.https://doi.org/10.1016/j.enbuild.2021.111590#