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.
ASS. PROF. YUN KYU YI’S JOURNAL IS PUBLISHED IN Sustainable Cities and Society
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.
ASS. PROF. YUN KYU YI’S JOURNAL IS PUBLISHED IN Journal of Building Engineering
Yi, Y. K., Tariq, A., Park, J., and Barakat, D., “Multi-Objective Optimization (MOO) of a Skylight Roof System for Structure Integrity, Daylight, and Material Cost,” Journal of Building Engineering. 34. Feb. 2021.
ASS. PROF. YUN KYU YI’S JOURNAL IS PUBLISHED IN Automation in Construction
Yi, Y. K., Zhang, Y., and Myung, J., “House style recognition using deep convolutional neural network.” Automation in Construction. 118. Oct. 2020, 103307.
ASS. PROF. YUN KYU YI’S JOURNAL IS PUBLISHED IN Journal of Building Engineering
Yi, Y. K. and Kang, B., “Integrating a wind turbine into a parking pavilion for generating electricity,” Journal of Building Engineering. 32. Nov 2020, 101471. https://doi.org/10.1016/j.jobe.2020.101471
ASS. PROF. YUN KYU YI’S JOURNAL IS PUBLISHED IN Applied Energy
Qiu, Changyu, Yi, Y. K., Wang, M., and Yanga, H., “Coupling an artificial neuron network daylighting model and building energy simulation for vacuum photovoltaic glazing,” Applied Energy Volume 263, April 2020, 114624.
The title of the paper is “Building facade multi-objective optimization for daylight and aesthetical perception”
The paper is about developing qualitative performance measure and using Multi-objective optimization to find a high-performance design in both qualitative and quantitative.
Here is the link for 50 days’ free access to the paper.
QuVue is now possible to use with Grasshopper (Rhino 6)
QuVue is a plugin for uVSF(SkyView Ratio) Analysis. It is a new index for measuring visible sky ratios that overcomes the major hurdles of current methods. It calculates the actual three-dimensional projection area of obstacles onto a virtual hemisphere, considering humans’ downward view. QuVue is TRADEMARKED and its a free program.