Skip to main content

Package to calculate thermal discomfort severity under several thermal definitions (e.g. traditional thermal comfort, sleep comfort, occupant health and safety limits, etc.).

Project description

Package to calculate thermal discomfort severity under several thermal definitions (e.g. traditional PMV and Adaptive thermal comfort, sleep comfort, occupant health and safety limits, etc.).

Please cite us if you use this package: Salimi S, Estrella Guillén E, Samuelson H. Exceedance Degree- Hours: A new method for assessing long- term thermal conditions. Indoor Air. 2021;00:1–16. https://doi.org/10.1111/ina.12855

  • Free software: MIT license

Installation

pip install comfortpy

Instructions

With this package, you can get the discomfort severity associated with a large set of comfort parameters. Please follow these steps:

Step 1 - After installing the package, please download the following files:

Step 2 - Open the downloaded .csv file relative to your project. For instance, if you are working with adaptive thermal model, open Adaptive model_template.csv file. Columns represent comfort parameters related to the selected comfort model (i.e., PMV or Adaptive) along with date and time. It’s important that the order of columns remains unchanged. For your reference each template contains some example data, please replace them with your data. If you do not have data for a certain parameter, simply fill the missing data with a representative value. Every row must contain a value for each column.

Step 3 - Run the main file. A file named discomfort_severities_PMV.csv or discomfort_severities_Adaptive.csv (depending on the selected comfort model) will be automatically saved in the same directory as the downloaded files are located. The file contains all the discomfort severities.

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

comfortpy-0.0.2.tar.gz (15.3 kB view hashes)

Uploaded Source

Built Distribution

comfortpy-0.0.2-py3-none-any.whl (42.6 kB view hashes)

Uploaded Python 3

Supported by

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