Dr. Yun Kyu Yi and his team at RAL (Responsive Architecture Lab) collaborated with CEBD (Center for Environmental Building and Design) at the University of Pennsylvania, and UrbSys Lab at the University of Florida received a fund from the Daikin Open Innovation Lab Silicon Valley to research on Advanced Building Thermal Modeling. Project use machine learning and other inverse modeling technic to develop building energy model from Ecobee smart thermostat dataset.
Myung, Junyoung, and Yi, Y. K., “Architectural Survey for the National Register Using Computer Vision,” Society of Architectural Historians (SAH) 2022 Annual International Conference, in Pittsburg, PA
ShanShan Wang, Yun Kyu Yi, NianXiong Liu, “Multi-objective optimization (MOO) for high-rise residential buildings’ layout centered on daylight, visual, and outdoor thermal metrics in China,” Building and Environment, 2021,108263, ISSN 0360-1323
https://doi.org/10.1016/j.buildenv.2021.108263
Demonstration of using Machine Learning with building simulation tools to reduce computational power and time.
credit : Yun Kyu Yi, Ph.D.
Museum of Urbanism and Architecture Competition, with Estudio De Arquitectura, and Archbody architects. 2020.
YI, Y. K., Sanders, J., and Tariq, A., “New I-ACT Master Plan Animation,” Illinois Center for Transportation, University of Illinois at Urbana-Champaign, IL., 2020.
TIE ( Tensegrity Integration Element) for Rhino is a tool to design tensegrity structure system.
Tensegrity structure is composed by cable and strut. The cable of the structure is under tension and the structs are under compression.
Among Tensegrity structure system, Simplex and Rhombic system, were chosen to develop for this tool.
TIE is developed by RAL Team (Zhanpeng Liu and Professor Yun Kyu Yi)
Yi, Y. K., Anis, M., and Jang, K., “Development of Window Apertures to Improve Natural Ventilation in Educational Buildings,” ARCC (Architectural Research Centers Consortium) 2021 International Conference, in Virtual Tucson, AZ., accepted.
Yi, Y. K., Jang, K., Wei, A. C., Kang, B., and Anis, M., “Integrating Parametric Design and Computational Fluid Dynamics (CFD) to Maximize Electricity Generation from Pavilion,” ARCC (Architectural Research Centers Consortium) 2021 International Conference, in Virtual Tucson, AZ., accepted.
Wang, B., Yi, Y. K, “Developing an Adapted UTCI (Universal Thermal Climate Index) for the Elderly Population in China’s Severe Cold Climate Region,” Sustainable Cities and Society. Accepted.
https://doi.org/10.1016/j.scs.2021.102813
