Achieving Indoor Thermal Comfort Using AI-Controlled Shading in Hot Arid Climates in Office Buildings | ||||
International Design Journal | ||||
Article 14, Volume 14, Issue 6 - Serial Number 64, November and December 2024, Page 205-213 PDF (626.24 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/idj.2024.305830.1172 | ||||
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Authors | ||||
Maha Fawzy Anber ![]() | ||||
1Higher Institute of Engineering- Shorouk City | ||||
2Department of Architectural Engineering, The Higher Institute of Engineering | ||||
Abstract | ||||
Hot arid and desert regions like the MENA, Middle East and North Africa, regions are characterized by high levels of solar radiation and high temperatures. Incoming solar radiation on buildings affect the thermal ad visual comfort of building occupants. Large glazed buildings allow solar radiation to get inside the building enhancing visual comfort, but also it affects thermal comfort and causes glare. The building envelope is the main mediator between the outdoor environment and solar radiation and the indoor of buildings in terms of visual and thermal comfort. Climate change resulted in excessive solar radiation which affects thermal and visual comfort in buildings. While solar radiation is considered a potential as renewable energy source, it is now a great challenge to be controlled inside buildings. Daylight can be optimized by different strategies in order to achieve thermal and visual comfort in buildings. This paper presents a study of how to achieve thermal comfort in hot arid climates using an Artificial Intelligence AI-controlled shading system. The proposed AI- controlled shading is applied to an office building in Egypt to check the reduction in energy consumption and enhancement in thermal comfort. This study concluded that the proposed AI- controlled shading system dropped the indoor temperature by 4°C and reduced energy consumption by 25% while thermal comfort complaints decreased by 77.78% and glare difficulties by 76%. | ||||
Keywords | ||||
Thermal Comfort; Hot Arid Climate; Shading Device; AI-Controlled Shading | ||||
Supplementary Files
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References | ||||
Awad, Jihad & Abd-Rabo, Lamia. (2020). Daylight and Energy Performance Optimization in Hot - Arid Regions: application and adaptation guide for designers in the UAE. Procedia Manufacturing. 44. 237-244. 10.1016/j.promfg.2020.02.227.
W. P. &. A. M. A. Jianxin Hu, "Using diva for assessing climate-based leed daylight credit," in The 43rd Annual National Solar Conference, 2014.
Gugliermetti, F. & Bisegna, Fabio. (2005). Static and dynamic daylight control systems: Shading devices and electrochromic windows. IBPSA 2005 - International Building Performance Simulation Association 2005.
Galal, Omar & Sailor, David & Mahmoud, Hatem. (2020). The impact of urban form on outdoor thermal comfort in hot arid environments during daylight hours, case study: New Aswan. Building and Environment. 184. 107222. 10.1016/j.buildenv.2020.107222.
V. Costanzo, R. Yao, E. Essah, L. Shao, M. Shahrestani, A.C. Oliveira, M. Araz, A. Hepbasli, E. Biyik, “A method of strategic evaluation of energy performance of Building Integrated Photovoltaic in the urban context”, Journal of Cleaner Production, Volume 184,2018, Pages 82-91, ISSN 0959-6526, https://doi.org/10.1016/j.jclepro.2018.02.139.
Maria Konstantoglou, Aris Tsangrassoulis, (2016) Dynamic operation of daylighting and shading systems: a literature review, Renew. Sustain. Energy Rev. 60, 268–283.
Luo, Z., Sun, C., Dong, Q., & Yu, J. (2021). An innovative shading controller for blinds in an open-plan office using machine learning. Building and Environment, 189, 107529. doi:10.1016/j.buildenv.2020.10752 | ||||
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