Ricerc@Sapienza

Building energy need simulations are usually performed using input files that contain information about the averaged weather data based on historical patterns. Therefore, the simulations performed are not able to provide information about possible future scenarios due to climate change. In this work, future trends of building energy demands due to the climate change across Europe were studied by comparing three time steps (present, 2050, and -2080) in three different European cities, characterized by different Köppen-Geiger climatic classes.

Optimize consumptions in the field of civil construction led to define energy classes for residential buildings. To calculate the energy demand in buildings the EPgl was determined (annual consumptions per m2 of primary energy). This paper examines those technical solutions useful to optimize the energy demands for the building heating during space-heating season and domestic hot water production (thanks to energy analysis software as MC11300 and TRNSYS), and at the same time keep into consideration the financial issues that those interventions implied.