Integration

Seamlessly connecting climate models and real-world data

Wind Speed Pedestrian Wind Comfort Thermal Comfort Heat Stress Cold Stress Microclimate Daylight Availability Sky View Factors Direct Sun Hours Solar Radiation
Thermal Comfort integration screenshot

Thermal Comfort

Assess outdoor thermal comfort using the Universal Thermal Climate Index (UTCI). UTCI is a comprehensive measure used to assess human thermal sensation and comfort in outdoor environments. It considers various meteorological parameters such as air temperature, humidity, wind speed, and radiation, to calculate a single index value representing the perceived thermal comfort level.

UTCI accounts for the complex interactions between environmental conditions and human physiology, providing valuable insights for designing outdoor spaces, urban planning, and assessing the impact of climate change on human well-being. The analysis can be performed seasonally, helping you design spaces that remain usable all year round. Identify opportunities for shade structures, vegetation, or material changes to improve comfort during extreme conditions.

The results of this simulation can be filtered by season or annually, and further refined by selecting the time of day in order to show the insights that are most critical to the project's success.

Thermal Comfort FAQ

What is UTCI and how does it measure thermal comfort?
The Universal Thermal Climate Index (UTCI) combines air temperature, humidity, wind speed, and radiation into a single value representing how warm or cold a person feels outdoors. It is the standard for outdoor comfort assessment.
Can thermal comfort simulations be run for specific seasons?
Yes. You can filter results by season, month, or time of day to understand how thermal comfort varies throughout the year and target design interventions for the most critical periods.
How can thermal comfort simulation improve my design?
It identifies areas needing shade structures, vegetation, or material changes by showing where pedestrians experience discomfort. This enables data-driven decisions for usable outdoor spaces across seasons.
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