g-STAr: ground-Surface Temperature Algorithm
2019 - 2021
Urban Scale
Developer | Lead Researcher | Urban Scientist
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Project
Description
I lead this project to develop a simplified greenery integrated physics-based ‘ground-Surface Temperature Algorithm (g-STAr)’ to increase the accuracy of parametric outdoor thermal comfort prediction models.
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g-STAr was developed with PhD advisor J. Alstan Jakubiec.
PhD research, granted by SINGA-SUTD.
Multi-scalar Computational Design
Parameters
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Ground surface material
1. Greenery Gr
2. Bare soil Bs -
Climate: Singapore
Environmental Performance Analysis
Tools Metrics
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ClimateStudio Thermal Comfort Algorithm
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g-STAr & TCA* Surface Temperature/Outdoor Thermal Comfort
Data Analysis
Method
Statistical Analysis
Root mean square error - RMSE
mean bias error - MBE