The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
pythermalcomfort: A Python package for thermal comfort research
Open accessAbstract
We developed pythermalcomfort, a Python package that allows users to calculate the most common thermal comfort indices in compliance with the main thermal comfort standards. For example, pythermalcomfort can be used to calculate: whole body thermal comfort indices (e.g., Predicted Mean Vote, adaptive models, Standard Equivalent Temperature), local discomfort, clothing insulation, and psychrometric properties of air. All pythermalcomfort functions have been validated against the reference tables provided in the corresponding thermal comfort standards. We have developed documentation, examples and tutorial videos to guide users on how to use our package. pythermalcomfort allows researchers and professionals to accurately perform complex thermal comfort calculations without the need of re-writing the programming code. With Python being among the most widely utilized programming languages and pythermalcomfort being the only Python library which includes a comprehensive list of thermal comfort functions, we believe that pythermalcomfort will have a significant impact on both the research and industrial communities.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Thermal Environmental Conditions for Human Occupancy
Ashrae, S. (1992) · Medical Entomology and Zoology · Cited by 6,092
Thermal comfort: Analysis and applications in environmental engineering
(1972) · Applied Ergonomics · doi:10.1016/s0003-6870(72)80074-7 · Cited by 4,451
(1998) · eScholarship (California Digital Library) · Cited by 1,934
Adaptive thermal comfort and sustainable thermal standards for buildings
Nicol, J. F., & Humphreys, M. A. (2002) · Energy and Buildings · doi:10.1016/s0378-7788(02)00006-3 · Cited by 1,850
Deriving the operational procedure for the Universal Thermal Climate Index (UTCI)
Bröde, P., Fiala, D., Błażejczyk, K., Holmér, I., Jendritzky, G., Kampmann, B., Tinz, B., & Havenith, G. (2012) · International Journal of Biometeorology · doi:10.1007/s00484-011-0454-1 · Cited by 1,243
A standard predictive index of human response to the thermal environment
Gagge, A. P., Fobelets, A. P. R., & Berglund, L. G. (1986) · ASHRAE winter conference papers · Cited by 1,053
UTCI-Fiala multi-node model of human heat transfer and temperature regulation
Fiala, D., Havenith, G., Bröde, P., Kampmann, B., & Jendritzky, G. (2012) · International Journal of Biometeorology · doi:10.1007/s00484-011-0424-7 · Cited by 994
Progress in thermal comfort research over the last twenty years
de Dear, R. J., Akimoto, T., Arens, E. A., Brager, G., Candido, C., Cheong, K. W. D., Li, B., Nishihara, N., Sekhar, S. C., Tanabe, S., et al. (2013) · Indoor Air · doi:10.1111/ina.12046 · Cited by 523
CBE Thermal Comfort Tool: Online tool for thermal comfort calculations and visualizations
Tartarini, F., Schiavon, S., Cheung, T., & Hoyt, T. (2020) · SoftwareX · doi:10.1016/j.softx.2020.100563 · Cited by 434
Self-citationCreating the Productive Workplace: Places to Work Creatively
(2006) · Taylor & Francis eBooks · doi:10.4324/9780203696880 · Cited by 358
Cited by
Some evidence of a time-varying thermal perception
Vellei, M., O’Brien, W., Martinez, S., & Le Dréau, J. (2022) · Indoor and Built Environment · doi:10.1177/1420326x211034563 · Cited by 11
Metadata
- Authors
- Tartarini, F., & Schiavon, S.
- Venue
- SoftwareX
- Publisher
- Elsevier BV
- Published
- 2020-07
- Volume
- 12
- Pages
- 100578
- ISSN
- 2352-7110 (ISSN-L)
- OpenAlex
- W3048660708
- Cited by
- 268
- References
- 18
- Type
- software paper
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: pythermalcomfort: A Python package for thermal comfort research. https://app.cochat.ai/papers/10.1016/j.softx.2020.100578
- The paper
- Tartarini, F., & Schiavon, S. (2020). pythermalcomfort: A Python package for thermal comfort research. SoftwareX. https://doi.org/10.1016/j.softx.2020.100578
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
