Abstract
The Urban Heat Island (UHI) is a significant phenomenon that currently receives much attention from the scientific community due to its importance on the environment, and it is mostly regarded as a merely negative event. However, there is a clear knowledge gap to investigate its influence when choosing optimal retrofitting interventions in buildings. A replicable methodology is thus needed, also to allow the comparison between different studies, which is currently an intricate task.The aim of this study is to develop such a methodology, using hourly rural and urban data to create temperature baselines and improve building simulations. An evaluation of the UHI impacts on building consumptions is presented, together with the repercussions on the energy savings achieved by retrofit interventions. The results considering case studies in Seville (Spain), in a Mediterranean climate, show that the heating demands are always overestimated when the model driven by rural climate data is used instead of the urban climate model. Conversely, the cooling demands are always underestimated in every considered scenario. In addition, the climate does not considerably influence the decision-making process to choose the optimal retrofitting alternatives, although the actual values of energy demand differ greatly.
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