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
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
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.
https://doi.org/10.1016/j.jobe.2020.102056
Yi, Y. K., Zhang, Y., and Myung, J., “House style recognition using deep convolutional neural network.” Automation in Construction. 118. Oct. 2020, 103307.
https://doi.org/10.1016/j.autcon.2020.103307
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.
https://doi.org/10.1016/j.apenergy.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.
https://authors.elsevier.com/a/1YvLP1HudMzjB7
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.
Click hear to download and know more about QuVue
For its development, methodology, and validation, can be found in following publications.
