Oral Presentation , Page 246-267 (22) Full Text (1.02 MB)

Volume Title: Digital Technology in Architecture and Arts - Era Challenges

DOI: 10.21608/dtaa21.2022.1736

¹Reem Amer ; ²Hend Zayan

¹Faculty of fine arts, Decoration department, interior architecture section

²Department of Interior Architecture - Faculty of Fine Arts - Alexandria University, Egypt

Construction operations account for a large proportion of the total primary energy consumption due to the proliferation of HVAC installations to improve the thermal comfort of indoor spaces where people spend significant time in them , One of the research objectives is to look at the challenges of using artificial intelligence to improve energy productivity and thermal comfort and to review artificial intelligence techniques used in building predictive control systems for healthy institutional spaces, The research problem lies in not paying enough attention to the design and energy management of healthy institutional buildings and not integrating energy management in the design, construction and use stages, and health institutions are best to advocate initiatives to achieve thermal comfort and energy efficiency simultaneously based on artificial intelligence technology in predictive control that enables energy in The average is between 21.81 and 44.36%, and the comfort improvement is on average between 21.67 and 85.77%.

predictive control (MPC); artificial intelligence (AI); Institutional spaces

Digital Technologies