References#
ANSI, & ASHRAE. (2023). Thermal Environmental Conditions for Human Occupancy. Atlanta.
ISO. (2005). ISO 7730 - Ergonomics of the thermal environment — Analytical determination and interpretation of thermal comfort using calculation of the PMV and PPD indices and local thermal comfort criteria.
EN, & BSI. (2019). Energy performance of buildings - Ventilation for buildings. BSI Standards Limited 2019.
Schiavon, S., & Lee, K. H. (2013). Dynamic predictive clothing insulation models based on outdoor air and indoor operative temperatures. Building and Environment, 59, 250–260. doi.org/10.1016/j.buildenv.2012.08.024
ISO. (1998). ISO 7726 - Ergonomics of the thermal environment instruments for measuring physical quantities.
Stull, R., 2011. Wet-Bulb Temperature from Relative Humidity and Air Temperature. J. Appl. Meteorol. Climatol. 50, 2267–2269. doi.org/10.1175/JAMC-D-11-0143.1
Zare, S., Hasheminejad, N., Shirvan, H.E., Hemmatjo, R., Sarebanzadeh, K., Ahmadi, S., 2018. Comparing Universal Thermal Climate Index (UTCI) with selected thermal indices/environmental parameters during 12 months of the year. Weather Clim. Extrem. 19, 49–57. https://doi.org/10.1016/j.wace.2018.01.004
ISO, 2004. ISO 7933 - Ergonomics of the thermal environment — Analytical determination and interpretation of heat stress using calculation of the predicted heat strain.
ISO, 2023. ISO 7933 - Ergonomics of the thermal environment — Analytical determination and interpretation of heat stress using calculation of the predicted heat strain.
Błażejczyk, K., Jendritzky, G., Bröde, P., Fiala, D., Havenith, G., Epstein, Y., Psikuta, A. and Kampmann, B., 2013. An introduction to the universal thermal climate index (UTCI). Geographia Polonica, 86(1), pp.5-10.
Gagge, A.P., Fobelets, A.P., and Berglund, L.G., 1986. A standard predictive Index of human reponse to thermal enviroment. Am. Soc. Heating, Refrig. Air-Conditioning Eng. 709–731.
ISO, 2017. ISO 7243 - Ergonomics of the thermal environment — Assessment of heat stress using the WBGT (wet bulb globe temperature) index.
Rothfusz LP (1990) The heat index equation. NWS Southern Region Technical Attachment, SR/SSD 90–23, Fort Worth, Texas
Steadman RG (1979) The assessment of sultriness. Part I: A temperature-humidity index based on human physiology and clothing science. J Appl Meteorol 18:861–873
Masterton JM, Richardson FA. Humidex, a method of quantifying human discomfort due to excessive heat and humidity. Downsview, Ontario: CLI 1-79, Environment Canada, Atmospheric Environment Service, 1979
Havenith, G., Fiala, D., 2016. Thermal indices and thermophysiological modeling for heat stress. Compr. Physiol. 6, 255–302. DOI: doi.org/10.1002/cphy.c140051
Blazejczyk, K., Epstein, Y., Jendritzky, G., Staiger, H., Tinz, B., 2012. Comparison of UTCI to selected thermal indices. Int. J. Biometeorol. 56, 515–535. DOI: doi.org/10.1007/s00484-011-0453-2
Oke, T.R. (1987). Boundary Layer Climates (2nd ed.). Routledge. DOI: https://doi.org/10.4324/9780203407219
Sharples, W., & Baron-Hay, S. (2023). Generating surface wind grids. Bureau Research Report No. 088. URL: https://www.bom.gov.au/research/publications/researchreports/BRR-088.pdf
Steadman RG (1984) A universal scale of apparent temperature. J Appl Meteorol Climatol 23:1674–1687
ASHRAE, 2017. 2017 ASHRAE Handbook Fundamentals. Atlanta.
Höppe P. The physiological equivalent temperature - a universal index for the biometeorological assessment of the thermal environment. Int J Biometeorol. 1999 Oct;43(2):71-5. doi: 10.1007/s004840050118. PMID: 10552310.
Walther, E. and Goestchel, Q., 2018. The PET comfort index: Questioning the model. Building and Environment, 137, pp.1-10. DOI: doi.org/10.1016/j.buildenv.2018.03.054
Teitelbaum, E., Alsaad, H., Aviv, D., Kim, A., Voelker, C., Meggers, F., & Pantelic, J. (2022). Addressing a systematic error correcting for free and mixed convection when measuring mean radiant temperature with globe thermometers. Scientific Reports, 12(1), 1–18. DOI: doi.org/10.1038/s41598-022-10172-5
Liu, S., Schiavon, S., Kabanshi, A., Nazaroff, W.W., 2017. Predicted percentage dissatisfied with ankle draft. Indoor Air 27, 852–862. DOI: doi.org/10.1111/ina.12364
Polydoros, Anastasios & Cartalis, Constantinos. (2015). Use of Earth Observation based indices for the monitoring of built-up area features and dynamics in support of urban energy studies. Energy and Buildings. 98. 92-99. 10.1016/j.enbuild.2014.09.060.
Yao, Runming & Li, Baizhan & Liu, Jing. (2009). A theoretical adaptive model of thermal comfort – Adaptive Predicted Mean Vote (aPMV). Building and Environment. 44. 2089-2096. 10.1016/j.buildenv.2009.02.014.
Fanger, P. & Toftum, Jorn. (2002). Extension of the PMV model to non-air-conditioned buildings in warm climates. Energy and Buildings. 34. 533-536. 10.1016/S0378-7788(02)00003-8.
Schweiker, M., 2022. Combining adaptive and heat balance models for thermal sensation prediction: A new approach towards a theory and data‐driven adaptive thermal heat balance model. Indoor Air 32, 1–19. DOI: doi.org/10.1111/ina.13018
Lu, Y.C. and Romps, D.M., Extending the Heat Index to Quantify the Physiological Response to Future Warming: A Modelling Study. Available at SSRN 3739854.
ISO, EN (2009). ISO 9920 - Ergonomics of the thermal environment. Estimation of thermal insulation and water vapour resistance of a clothing ensemble
Fanger, P. O. (1970). Thermal comfort: analysis and applications in environmental engineering. McGraw-Hill, New York.
Tartarini, F. and Schiavon, S., 2025. Comparative analysis of PMV Models accuracy implemented in the ISO 7730: 2005 and ASHRAE 55: 2023. Building and Environment, p.112766. doi: doi.org/10.1016/j.buildenv.2025.112766
Yan, S., Xiong, J., Kim, J. & de Dear, R. (2022). Adapting the two-node model to evaluate sleeping thermal environments. Building and Environment. 222, 109417. DOI: doi.org/10.1016/j.buildenv.2022.109417
Moran, D.S., Pandolf, K.B., Shapiro, Y., Heled, Y., Shani, Y., Mathew, W.T., Gonzalez, R.R., 2001. An environmental stress index (ESI) as a substitute for the wet bulb globe temperature (WBGT). Journal of Thermal Biology 26, 427-431. DOI: doi.org/10.1016/S0306-4565(01)00055-9
Dunne JP, Stouffer RJ, John JG. Reductions in labour capacity from heat stress under climate warming. Nature Climate Change. 2013 Jun;3(6):563-566.
Kjellstrom T, Freyberg C, Lemke B, Otto M, Briggs D. Estimating population heat exposure and impacts on working people in conjunction with climate change. International Journal of Biometeorology. 2018 Mar;62(3):291-306.
Ji L, Laouadi A, Wang L, Lacasse MA. Development of a bioheat model for older people under hot and cold exposures. Building Simulation. 2022;15(10):1815-1829.
Yan J, Tong Z, Wang Y, Feng S, Su Y, Song Y, Wen Q, Yin C. From measurements to regulations: An actionable approach for sustainable urban cooling via heat-resilient urban planning. Sustainable Cities and Society. 2025;125:106361.
Schlatter TW. Temperature-humidity index. In: Climatology. Encyclopedia of Earth Science. Springer; 1987. DOI: 10.1007/0-387-30749-4_176
Forbes C, Coccarelli A, Xu Z, Meade RD, Kenny GP, Binnewies S, Bach AJE. Biophysical versus machine learning models for predicting rectal and skin temperatures in older adults. J Therm Biol. 2025 Feb;128:104078. DOI: 10.1016/j.jtherbio.2025.104078. Epub 2025 Feb 22. PMID: 40010162.
Tartarini F, Smallcombe JW, Lynch GP, Cross TJ, Broderick C, Jay O. The Sports Medicine Australia extreme heat risk and response guidelines and web tool. Journal of Science and Medicine in Sport. 2025;28(9):690-699. DOI: 10.1016/j.jsams.2025.03.006
Sports Medicine Australia. (2025). EXTREME HEAT RISK AND RESPONSE GUIDELINES AND WEBTOOL (2025). URL: https://sma.org.au/wp-content/uploads/2026/01/Extreme-Heat-Policy-2025_v1.pdf (accessed 2026-02-03)
Sports Heat Tool. Sports Medicine Australia. URL: https://sma-heat-policy.sydney.edu.au/
World Meteorological Organization. (2024). Guide to Instruments and Methods of Observation (WMO-No. 8). Geneva, Switzerland.