https://github.com/pollination/utci-comfort-map
UTCI thermal comfort map recipe for pollination
https://github.com/pollination/utci-comfort-map
Last synced: 9 months ago
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UTCI thermal comfort map recipe for pollination
- Host: GitHub
- URL: https://github.com/pollination/utci-comfort-map
- Owner: pollination
- License: other
- Created: 2021-02-25T04:11:25.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2025-06-16T09:46:56.000Z (12 months ago)
- Last Synced: 2025-08-19T13:34:00.079Z (10 months ago)
- Language: Python
- Size: 315 KB
- Stars: 2
- Watchers: 2
- Forks: 3
- Open Issues: 3
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# UTCI Comfort Map
UTCI thermal comfort map recipe for Pollination.
Compute spatially-resolved Universal Thermal Climate Index (UTCI) and heat/cold stress
conditions an EPW and Honeybee model. Raw results are written into a `results/` folder and
include CSV matrices of hourly UTCI temperatures, thermal conditions and heat stress
classifications. Processed metrics of Thermal Comfort Percent (TCP) can be found
in the `metrics/` folder.
## Methods
This recipe uses EnergyPlus to obtain longwave radiant temperatures and indoor air
temperatures. The outdoor air temperature and air speed are taken directly from the EPW.
A Radiance-based enhanced 2-phase method is used for all shortwave MRT calculations,
which includes an accurate direct sun calculation using precise solar positions. The
energy properties of the model geometry are what determine the outcome of the
simulation and the model's SensorGrids are what determine where the comfort
mapping occurs.
To determine Thermal Comfort Percent (TCP), all hours of the outdoors are considered
occupied. For any indoor sensor, the occupancy schedules of the energy model are used.
Any hour of the occupancy schedule that is 0.1 or greater will be considered occupied.