Impact of climate change in urban meteorology and energy demand

Abstract

Climate change large impacts on urban scales. Local meteorology, air pollution and energy demand of the buildings are areas affected directly by the climate change. To quantify the future impacts, this research make a dynamical downscaling from global climate data to urban high spatial resolution to produce weather data and this information can be used in the energy demand models as EnergyPlus. Dynamical downscaling process has been implemented with the mesoscale model WRF-Chem (NOAA, US) up to 1 km and MICROSYS CFD (UPM, ES) model from very high spatial resolution. A medium office building was simulated using meteorological downscaled datasets for Madrid. In this contribution we have used global climate models RCP scenarios to produce climate scenarios at urban scale with 10 m spatial resolution. We will show the results and the impacts for future (2030, 2050 and 2100) RCP IPCC 4.5 and 8.5 climate scenarios compare with the 2011 control year information for climate and buildings energy demand over Madrid, Milan and London (Kensington Chelsea area).