pollination-utci-comfort-map


Namepollination-utci-comfort-map JSON
Version 0.9.16 PyPI version JSON
download
home_pagehttps://github.com/pollination/utci-comfort-map
SummaryUTCI thermal comfort map for Pollination.
upload_time2024-10-25 18:43:12
maintainerchris, ladybug-tools
docs_urlNone
authorladybug-tools
requires_pythonNone
licensePolyForm Shield License 1.0.0, https://polyformproject.org/wp-content/uploads/2020/06/PolyForm-Shield-1.0.0.txt
keywords honeybee ladybug-tools thermal comfort utci
VCS
bugtrack_url
requirements pollination-ladybug pollination-ladybug-comfort pollination-honeybee-radiance pollination-honeybee-radiance-postprocess pollination-honeybee-energy pollination-lbt-honeybee pollination-alias pollination-path
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # 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.

            

Raw data

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