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In order to compare the results obtained with DYNAMO-HIA with those obtained using the HEAT model approach, we reconstructed the HEAT tool using Analytica.
However, the differences revealed comparing estimates from DYNAMO-HIA and the HEAT model stem from the different structures of the modeling approaches themselves and thus may be generalizable across communities of many types.
To compare the dynamic approach used in DYNAMO-HIA and the static approach used in the HEAT model, we re-estimated health impacts in the BRRC using our reconstructed HEAT model and compared these findings to impacts estimated by our DYNAMO-HIA model.
The numerical heat model was experimentally confirmed.
The heat receiver cavity radiation mathematical model and the working fluid tube heat model are established.
The developed model was coupled with ground heat transfer model, ground surface heat model and ground heat exchanger model.
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The two dimensional model refers to the heat modelling in the radial and axial directions.
However, due to lower air movement between rooms, radiant heat models showed larger increases in moisture levels, and therefore larger decreases in influenza virus.
For heat, models were restricted to the summer months (i.e., June September in the United Kingdom and December March in Australia).
In the models without humidifiers, the median night hour indoor bedroom moisture level was 33% RH (range: 12 to 65% RH) and 35% RH (range: 7 to 75% RH) for the radiant heat and forced air heat models, respectively.
The CFD model was coupled with a bio-heat model to predict segmental and overall sensation and comfort in addition to segmental skin temperatures.
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