Skip to main content

Transforms PMV-based into adaptive setpoint temperature EnergyPlus building energy models

Project description

ACCIM Logo with header

PyPI PyPI - Python Version GitHub Read the Docs

ACCIM stands for Adaptive Comfort Control Implemented Model.

In research terms, this is a proposal for a paradigm shift, from using fixed PMV-based to adaptive setpoint temperatures, based on adaptive thermal comfort algorithms and it has been widely studied and published on scientific research journals (for more information, refer to https://orcid.org/0000-0002-3080-0821).

In terms of code, this is a python package that transforms fixed setpoint temperature building energy models into adaptive setpoint temperature energy models by adding the Adaptive Comfort Control Implementation Script (ACCIS). This package has been developed to be used in EnergyPlus building energy performance simulations.

Citation

If you use this package, please cite us:

Sánchez-García, D., Bienvenido-Huertas, D., & Rubio-Bellido, C. (2021). Computational approach to extend the air-conditioning usage to adaptive comfort: Adaptive-Comfort-Control-Implementation Script. Automation in Construction, 131, 103900. https://doi.org/10.1016/j.autcon.2021.103900

Documentation

The documentation is at: https://accim.readthedocs.io/en/master/

Credits

It wouldn't have been possible to develop this python package without eppy, so thank you for such an awesome work.

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

accim-0.2.2.tar.gz (9.0 MB view details)

Uploaded Source

File details

Details for the file accim-0.2.2.tar.gz.

File metadata

  • Download URL: accim-0.2.2.tar.gz
  • Upload date:
  • Size: 9.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.4

File hashes

Hashes for accim-0.2.2.tar.gz
Algorithm Hash digest
SHA256 618330fc2f830a9dfb58a2b76463fafa68124a730217f7b14926bada5974f763
MD5 7fd16aca0e1960fed753882d5deb8339
BLAKE2b-256 cc3cad3fe94f8cdc324dae37a07fd93a7e8b37010553f74f27f0ac9592cedbdc

See more details on using hashes here.

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