The RANS model takes into account all modes of urban heat transfer at higher spatial and time resolution. It is based on dynamic coupling between heat balance and k-epsilon (turbulence) modelling. The effect of complex urban spatial data is considered. The model assesses environmental information such as micro-climates, building energy and thermal comfort at neighbourhood and city scales. This paper presents details of the model with some tests against measured data along with static versus dynamic coupling and some results in real urban settings.
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