We are interested in quantifying and developing predictive models of how humans exchange heat with their surrounding through convection, radiation, and evaporation, particularly in extreme heat conditions. Recently we have 1) improved theoretical analysis for predicting mean radiant temperature using globe and cylindrical radiation thermometers (Vanos, Rykaczewski, et al. Int. Journal of Biometeorology 2021), and 2) based on these field measurement methods, we also developed compact anisotropic radiation source models for computational thermal manikins (Rykaczewski et al. Building and Environment 2022), and 3) developed a set of 60 computational thermal manikins representing the 1 to 99 percentile height and body mass index diversity of U.S. adults and computed radiation area factors for this diverse population (Rykaczewski et al. submitted). We are also using this comprehensive computational manikin set to quantify convective thermal exposure. With Prof. Jennifer Vanos and Prof. Ariane Middel, we are currently setting up a state-of-the art facility for studying human exposure to extreme heat (thermal chamber in ISTB 7 with a walk-in wind enclosure for controlling convection sponsored by ASU FSE seed funding and a custom ANDI thermal manikin sponsored by NSF MRI grant 2117917). The coupled experimental and theoretical work is supported by NSF LEAP-HI grant
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