Simulations beyond the building, identifying climate adaptation scale jumping potentials to district level. Research by design for the city of Monterotondo (Italy)

With the increasing relevance of positive energy districts and complexity embedded in multiple buildings retrofitting strategies, the opportunities and demand for modelling and simulation tools have increased. This paper presents a workflow for dynamic simulation of energy demand for cooling and heating for the industrial district of Monterotondo, located in the outskirt of Rome (Italy). This dynamic framework was supported by Rhino’s 3-D modelling tools, and by the visual programming tool Grasshopper. Temperature, energy and UTCI were subsequently investigated, and different building and open space retrofitting strategies were compared, highlighting expected scaling up potential for the entire district.