- Acosta, I., León, J., & Bustamante, P. (2018). Daylight spectrum index: a new metric to assess the affinity of light sources with daylighting. Energies, 11(10), 2545.
http://dx.doi.org/10.3390/en11102545
- Aghemo, C., Pellegrino, A., & LoVerso, V. (2008). The approach to daylighting by scale models and sun and sky simulators: A case study for different shading systems. Building and Environment, 43(5), 917-927.
https://doi.org/10.1016/j.buildenv.2007.01.020
- Al-Masrani, S. M., & Al-Obaidi, K. M. (2019). Dynamic shading systems: A review of design parameters, platforms and evaluation strategies. Automation in construction, 102, 195-216.
https://doi.org/10.1016/j.autcon.2019.01.014
- Alhuwayil, W. K., Mujeebu, M. A., & Algarny, A. M. M. (2019). Impact of external shading strategy on energy performance of multi-story hotel building in hot-humid climate. Energy, 169, 1166-1174.
https://doi.org/10.1016/j.energy.2018.12.069
- Baghoolizadeh, M., Rostamzadeh-Renani, M., Rostamzadeh-Renani, R., & Toghraie, D. (2023). Multi-objective optimization of Venetian blinds in office buildings to reduce electricity consumption and improve visual and thermal comfort by NSGA-II. Energy and Buildings, 278, 112639.
https://doi.org/10.1016/j.enbuild.2022.112639
- Bahdad, A., Fadzil, S., Onubi, H., & BenLasod, S. (2022). Multi-dimensions optimization for optimum modifications of light-shelves parameters for daylighting and energy efficiency. International Journal of Environmental Science and Technology, 19(4), 2659-2676.
https://doi.org/10.1007/s13762-021-03328-9
- 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., Bisegna, F., & Spada, G. (2011). Lighting in indoor environments: Visual and non-visual effects of light sources with different spectral power distributions. Building and Environment, 46(10), 1984-1992.
https://doi.org/10.1016/j.buildenv.2011.04.007
- Bellia, L., Marino, C., Minichiello, F., & Pedace, A. (2014). An overview on solar shading systems for buildings. Energy Procedia, 62, 309-317.
https://doi.org/10.1016/j.egypro.2014.12.392
- Calama-González, C. M., Suárez, R., León-Rodríguez, Á. L., & Ferrari, S. (2019). Assessment of indoor environmental quality for retrofitting classrooms with an egg-crate shading device in a hot climate. Sustainability, 11(4), 1078.
https://doi.org/10.3390/su11041078
- Caldas, L. G., & Norford, L. K. (2002). A design optimization tool based on a genetic algorithm. Automation in construction, 11(2), 173-184.
https://doi.org/10.1016/S0926-5805(00)00096-0
- Choi, J., Lee, T., Ahn, E., & Piao, G. (2014). Parametric louver design system based on direct solar radiation control performance. Journal of Asian Architecture and Building Engineering, 13(1), 57-62.
https://doi.org/10.3130/jaabe.13.57
- CIBSE, K. B. (2011). Lighting Guide 5: Lighting for Education. Society of Light and Lighting.
http://www.cibse.org/
- Costanzo, V., Evola, G., & Marletta, L. (2017). A review of daylighting strategies in schools: State of the art and expected future trends. Buildings, 7(2), 41.
https://doi.org/10.3390/buildings7020041
- Costanzo, V., Evola, G., Marletta, L., & Panarelli, D. (2017). Static and dynamic strategies for improving daylight use in side-lit classrooms: a case study.BSA: Bolzano
https://www.researchgate.net/publication/317264914_Static_and_dynamic_strategies_for_improving_daylight_use_in_side-lit_classrooms_a_case_study
- Cremers, J. (2016). Openings in buildings. Building openings construction manual: windows, vents and exterior doors. Munich: Germany, 8-11.
https://doi.org/10.11129/9783955532994-001
- Datta, G. (2001). Effect of fixed horizontal louver shading devices on thermal perfomance of building by TRNSYS simulation. Renewable energy, 23(3-4), 497-507.
https://doi.org/10.1016/S0960-1481(00)00131-2
- De Luca, F., Sepúlveda, A., & Varjas, T. (2022). Multi-performance optimization of static shading devices for glare, daylight, view and energy consideration. Building and Environment, 217, 109110.
https://doi.org/10.1016/j.buildenv.2022.109110
- Dudzińska, A. (2021). Efficiency of solar shading devices to improve thermal comfort in a sports hall. Energies, 14(12), 3535.
https://doi.org/10.3390/en14123535
- Edwards, L., & Torcellini, P. (2002). Literature review of the effects of natural light on building occupants.
http://dx.doi.org/10.2172/15000841
- Eltaweel, A., & Su, Y. (2017). Controlling venetian blinds based on parametric design; via implementing Grasshopper’s plugins: A case study of an office building in Cairo. Energy and Buildings, 139, 31-43.
https://doi.org/10.1016/j.enbuild.2016.12.075
- Eltaweel, A., & Yuehong, S. (2017). Using integrated parametric control to achieve better daylighting uniformity in an office room: A multi-Step comparison study. Energy and Buildings, 152, 137-148.
https://doi.org/10.1016/j.enbuild.2017.07.033
- EN, B. (2018). 17037: 2018 Daylight in Buildings. BSI: London, UK.
https://standards.iteh.ai/catalog/standards/cen/836e5b91-1eb0-4643-a2ba-7ca5a5988e64/en-17037-2018
- Gürsel Dino, İ. (2012). Creative design exploration by parametric generative systems in architecture. METU Journal of the Faculty of Architecture. 29, 207-224.
http://dx.doi.org/10.4305/METU.JFA.2012.1.12
- Heschong, L., & Mahone, D. (2003). Windows and classrooms: A study of student performance and the indoor environment. California Energy Commission, 37(4), 414-435.
http://dx.doi.org/10.13140/RG.2.2.26759.44964
- Heschong, L., Wright, R. L., & Okura, S. (2002). Daylighting impacts on human performance in school. Journal of the Illuminating Engineering Society, 31(2), 101-114.
http://dx.doi.org/10.1080/00994480.2002.10748396
- Kirimtat, A., Koyunbaba, B. K., Chatzikonstantinou, I., & Sariyildiz, S. (2016). Review of simulation modeling for shading devices in buildings. Renewable and sustainable energy reviews, 53, 23-49.
https://doi.org/10.1016/j.rser.2015.08.020
- Konstantzos, I., Tzempelikos, A., & Chan, Y.-C. (2015). Experimental and simulation analysis of daylight glare probability in offices with dynamic window shades. Building and Environment, 87, 244-254.
https://doi.org/10.1016/j.buildenv.2015.02.007
- Kontadakis, A., Tsangrassoulis, A., Doulos, L., & Topalis, F. (2017). An active sunlight redirection system for daylight enhancement beyond the perimeter zone. Building and Environment, 113, 267-279.
https://doi.org/10.1016/j.buildenv.2016.09.029
- Küller, R., & Lindsten, C. (1992). Health and behavior of children in classrooms with and without windows. Journal of environmental psychology, 12(4), 305-317.
https://doi.org/10.1016/S0272-4944(05)80079-9
- Lakhdari, K., Sriti, L., & Painter, B. (2021). Parametric optimization of daylight, thermal and energy performance of middle school classrooms, case of hot and dry regions. Building and Environment, 204, 108173.
https://doi.org/10.1016/j.buildenv.2021.108173
- Lee, K. S., Han, K. J., & Lee, J. W. (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, 10(5), 635.
https://doi.org/10.3390/en10050635
- Lee, S.-W., Leigh, S.-B., Kim, T., Cheong, C. H., & Cho, S. (2019). Cooling energy reduction effect of parallel double-window system operation in residential buildings in South Korea. Indoor and Built Environment, 28(5), 636-658.
http://dx.doi.org/10.1177/1420326X17707564
- Lim, Y.-W., Ahmad, M. H., & Ossen, D. R. (2013). Internal shading for efficient tropical daylighting in Malaysian contemporary high-rise open plan office. Indoor and Built Environment, 22(6), 932-951.
http://dx.doi.org/10.1177/1420326X12463024
- Lm, I. (2013). Approved method: IES spatial Daylight autonomy (sDA) and annual sunlight exposure (ASE). Illuminating Engineering Society.
https://webstore.ansi.org/preview-pages/IESNA/preview_IES+LM-83-12.pdf?srsltid=AfmBOorW_SHpLH9Kcwh1g5iOc6YmWknmCkYDM0dRzl3wjeW9fESgJyb2
- 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
- Mardaljevic, J., Heschong, L., & Lee, E. (2009). Daylight metrics and energy savings. Lighting Research & Technology, 41(3), 261-283.
http://dx.doi.org/10.1177/1477153509339703
- Mirrahimi, S., Ibrahim, N. L. N., & Surat, M. (2013). Effect of daylighting on student health and performance. Proceedings of the 15th International Conference on Mathematical and Computational Methods in Science and Engineering, Kuala Lumpur, Malaysia.
https://api.semanticscholar.org/CorpusID:8725312
- 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
- Nabil, A., & Mardaljevic, J. (2006). Useful daylight illuminances: A replacement for daylight factors. Energy and Buildings, 38(7), 905-913.
https://doi.org/10.1016/j.enbuild.2006.03.013
- Nocera, F., Lo Faro, A., Costanzo, V., & Raciti, C. (2018). Daylight performance of classrooms in a mediterranean school heritage building. Sustainability, 10(10), 3705.
https://doi.org/10.3390/su10103705
- Perez, M., Oteiza, P., & Neila, J. (2012). Fragmented Light Shelf: Sun protection system and daylighting optimization. 28th International PLEA Conference. Lima, Perú.
https://www.researchgate.net/publication/285597746_Fragmented_Light_Shelf_Sun_protection_system_and_daylighting_optimization
- 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
- Reinhart, C. F., & Andersen, M. (2006). Development and validation of a Radiance model for a translucent panel. Energy and Buildings, 38(7), 890-904.
https://doi.org/10.1016/j.enbuild.2006.03.006
- Reinhart, C. F., & Walkenhorst, O. (2001). Validation of dynamic RADIANCE-based daylight simulations for a test office with external blinds. Energy and Buildings, 33(7), 683-697.
https://doi.org/10.1016/S0378-7788(01)00058-5
- Shi, L., & Chew, M. Y. L. (2012). A review on sustainable design of renewable energy systems. Renewable and sustainable energy reviews, 16(1), 192-207.
https://doi.org/10.1016/j.rser.2011.07.147
- Sjarifudin, F. U., & Justina, L. (2014). Daylight adaptive shading using parametric camshaft mechanism for SOHO in Jakarta. EPJ Web of Conferences.
http://dx.doi.org/10.1051/epjconf/20146800037
- Sun, N., Cui, Y., & Jiang, Y. (2018). Lighting and ventilation-based building sun-shading design and simulation case in cold regions. Energy Procedia, 152, 462-469.
https://doi.org/10.1016/j.egypro.2018.09.254
- Suradhuhita, P., Setyowati, E., & Prianto, E. (2022). Influence of a facade design on thermal and visual comfort in an elementary school classroom. IOP Conference Series: Earth and Environmental Science.
http://dx.doi.org/10.1088/1755-1315/1007/1/012013
- 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
- Valitabar, M., Moghimi, M., Mahdavinejad, M., & Pilechiha, P. (2018). Design optimum responsive façade based on visual comfort and energy performance. 23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting, CAADRIA.
http://dx.doi.org/10.52842/conf.caadria.2018.2.093
- Wagdy, A., & Fathy, F. (2015). A parametric approach for achieving optimum daylighting performance through solar screens in desert climates. Journal of Building Engineering, 3, 155-170.
https://doi.org/10.1016/j.jobe.2015.07.007
- Wang, S., Liu, Y., Cao, Q., Li, H., Yu, Y., & Yang, L. (2021). Applicability of passive design strategies in China promoted under global warming in past half century. Building and Environment, 195, 107777.
https://doi.org/10.1016/j.buildenv.2021.107777
- Wienold, J. (2009). Dynamic daylight glare evaluation. eleventh international IBPSA conference,Glasgow,Scotland.
https://api.semanticscholar.org/CorpusID:18376494
- Wienold, J., & Christoffersen, J.(2005) Towards a new daylight glare rating. 10thEuropeanLightCongress,Germany:Berlin.
https://www.researchgate.net/publication/313608753_Towards_a_new_daylight_glare_rating
- 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(7), 743-757.
https://doi.org/10.1016/j.enbuild.2006.03.017
- Yoon, Y. B., Manandhar, R., & Lee, K. H. (2014). Comparative study of two daylighting analysis methods with regard to window orientation and interior wall reflectance. Energies, 7(9), 5825-5846.
https://doi.org/10.3390/en7095825
- Yu, X., Su, Y., & Chen, X. (2014). Application of RELUX simulation to investigate energy saving potential from daylighting in a new educational building in UK. Energy and Buildings, 74, 191-202.
https://doi.org/10.1016/j.enbuild.2014.01.024
- Zemitis, J., Borodinecs, A., Sidenko, N., & Zajacs, A. (2023). Simulation of IAQ and thermal comfort of a classroom at various ventilation strategies. The 11th International Conference on Indoor Air Quality, Ventilation & Energy Conservation in Buildings (IAQVEC2023).
https://doi.org/10.1051/e3sconf/202339603005
- Zhang, A., Bokel, R., van den Dobbelsteen, A., Sun, Y., Huang, Q., & Zhang, Q. (2017). Optimization of thermal and daylight performance of school buildings based on a multi-objective genetic algorithm in the cold climate of China. Energy and Buildings, 139, 371-384.
https://doi.org/10.1016/j.enbuild.2017.01.048
- 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
- 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