Assessing passive and active solar energy resources in cities using 3D city models

(in lingua inglese)

3D city models offer an excellent dataset for automatized and reliable heating demand diagnostics and renewable supply simulations. If building physics information data are not directly available like in the presented case study, the use of local building typology libraries relative to building/refurbishment years allow to maintain a reasonable district heating demand error around 20%, but can lead for single buildings to higher uncertainties. Further to this heating demand diagnostics, which serves as calibration phase, 3D city models offer opportunities to simulate energy scenarios, supporting city planners and municipal managers in the development of long-term urban energy strategies.