Urban Digital Twins:
A Tool for Urban-Scale Microclimate-Informed Building Energy Analysis

Project summary

This urban digital twin integrates building-level energy modelling, urban morphology, measured electricity-use intensity, and WRF-derived microclimate fields to support urban-scale analysis of building energy performance under different climate conditions.

For more information, please check the User guide.

Questions to answer:

Which building archetypes and urban forms drive spatial differences in Singapore's energy demand?

What & How:

Building footprints are classified, linked to morphology and measured EUI, and aggregated to 500 m districts for cross-scale exploration.

Region filter
All regions
Local Climate Zone (LCZ) analysis
Building metadata
-- buildings
-- grid cells
Questions to answer:

How do representative hot, cold, and transitional weeks reshape local weather exposure across Singapore?

What & How:

Weather Research and Forecasting (WRF) representative-week outputs are converted to hourly 500 m fields for temperature, wind, humidity, and solar radiation.

WRF representative-week weather
Representative week
WRF time --
Questions to answer:

How much does microclimate-aware modelling change building energy use across seasons and districts?

What & How:

Weekly simulations compare non-microclimate and WRF-informed cases at building and 500 m district scales.

Step 2: Select Areas
All regions
Step 3: Select Building Types
All building types
Energy use (measured yearly data from BCA building energy benchmarks, kWh/m²/year)

Current metric

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