Skip to main content

UTCI thermal comfort map for Pollination.

Project description

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pollination_utci_comfort_map-0.9.21.tar.gz (259.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pollination_utci_comfort_map-0.9.21-py2.py3-none-any.whl (21.6 kB view details)

Uploaded Python 2Python 3

File details

Details for the file pollination_utci_comfort_map-0.9.21.tar.gz.

File metadata

File hashes

Hashes for pollination_utci_comfort_map-0.9.21.tar.gz
Algorithm Hash digest
SHA256 7dedd3a32ff99834d415c8afa4ecf3602144709ba9a9f50cb30070675f50c676
MD5 01a042fcc6f4426faa6d7229c0d3f166
BLAKE2b-256 f47a691c198c1cecdef6b132d283c714d3bdc4df54f44303eac04e82fe42ad17

See more details on using hashes here.

File details

Details for the file pollination_utci_comfort_map-0.9.21-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for pollination_utci_comfort_map-0.9.21-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 8cf9e6ae15ad30149579342e4cec1be51574403b5dc313143c1a0c967837d2c2
MD5 9756c0829e85f45de75e63ae50d570ac
BLAKE2b-256 9de11d776767e01de3abdf90bfa2bbb34f7f6eae5750aa9a6db090b62e7b369f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page