Research

Climate and energy systems are tightly coupled: rising temperatures increase cooling demand, and waste heat can intensify urban warming. My work integrates field measurements, physics-based models, geospatial data science, and remote sensing to quantify these feedbacks and to design actionable mitigation strategies at scales from buildings to entire cities.

PV Figure 1: Photovoltaics within the urban climate-building energy feedback.


Field Experiment — Rooftop Mitigation Strategies

We conducted a full-scale experiment to test cool roofs, green options, and PV configurations. Below is a video introducing the experiment we conducted at HKUST, exploring different rooftop mitigation strategies.

Video 1. Rooftop mitigation strategies experiment


Modeling Frameworks

To analyze indoor–outdoor interactions, I couple a building energy model with a single-layer urban canopy model (BEM–SLUCM) and extend to urban-scale building energy models (UBEM) for scenario testing of PV strategies, retrofits, and materials.

UCM Diagram Figure 2. Urban canopy–building energy coupling.

Urban-scale building energy model Figure 3. Testing retrofit measures using an urban-scale building energy model.

Curious about how buildings use energy across Hong Kong?
👉 Explore the interactive UBEM map.


Remote Sensing & Geospatial Analysis — Heat Exposure & Equity

As part of a NASA-funded study on 3D urban change and humid-heat across the Mediterranean, I am building a geospatial analytics pipeline to quantify extreme heat exposure and equity. Output: reproducible workflows and decision-ready indicators for climate adaptation and public health planning (Results will be posted here upon publication).