Projects

Period: 2026.03.01 – 2031.02.28 | Funded by: National Research Foundation of Korea

This project is a research initiative designed to develop a holistic analytical framework for urban light pollution. The project adresses two critical challenges: nighttime light pollution from sources such as media facades and daytime glare caused by high-reflectivity building materials. Moving beyond conventional quantity-based lighting regulations, this initiative introduces Human-Centric Lighting (HCL) indicators to prioritize human health and well-being, with a focus on the visual and non-visual impacts of light. To achieve this, the project develops an integrated methodological framework that includes public-data-driven 3D city modeling, GPU-accelerated dynamic light simulations, and a real-time monitoring system based on HDRI and computer vision. Ultimately, this project aims to provide standardized design guidelines and a scientific evaluation protocol that mitigate social conflict and legal disputes while fostering a safer, healthier, and more sustainable urban lightscape.

Period: 2023.06.01 – 2030.02.28 | Funded by: National Research Foundation of Korea (KRW 2,302.00 Million) | Project No: 2710101182

Period: 2025.09.01 – 2026.08.31 | Funded by: National Research Foundation of Korea (KRW 92.84 Million) | Project No: 2710090289

The ultimate objective of this project is to develop a model that supports the design and operation of net-zero energy buildings at the community scale, thereby enabling informed decision-making regarding the urban applicability of photovoltaic systems.. The specific objectives are as follows: (1) to preprocess and database public GIS data and construct foundational datasets for urban-scale machine learning and simulation; (2) use generative AI technics to  massively augment realistic 3D urban models; and (3) to develop a physics-informed neural network (PINN) surrogate model that embeds radiative transfer constraints into the loss function, enabling fast prediction of urban-scale solar irradiance and photovoltaic potential, and to experimentally validate the proposed approach.

Period: 2024.07.01 – 2027.03.31 | Funded by: Korea Agency for Infrastructure Technology Advancement (KRW 212.62 Million) | Project No: 2610000200 

A cross-nation (Korea-United Kindoms) consortium-based research project aiming to develop a software suite to design and operate net-zero energy buildings at a community scale. 

Our group's objectives are to:  i) develop a computationally efficient simulation method to estimate the solar harvesting potential of photovoltaic panels either attached or integrated into the buildings, at a community or urban scale; ii) experimentally validate the simulation method developed, based on public datasets; and iii) develop a time-resolved design optimization algorithm for BAPV and BIPV design at a community scale, that maximizes the energy autonomy of the communities.