This database aims to be used as a configurator tool to choose among different Active Window System (AWS) configurations though its main key performance indicators (KPI). These KPIs belong to different physical domains (window performance, thermal, daylight, Indoor Air Quality (IAQ)) and are assessed for a number of different configurations. These configurations take into account different climatic conditions (with implications also on the window frame and glazing thermal characteristics), shading configurations (external shadings, shadings integrated in the Insulated Glazing Unit (IGU) or electrochromic glazing), ventilation typology (no ventilation, Trickle Vents (TV) or Ventilation Machine (VM)) and eventual integration between the ventilation and the shading system. The AWS configurator tool might be extremely useful at the early stages of a design process, since a synthetic yet complete picture of the Active Window System behavior and its implications in the considered case study is drawn through simple KPIs. Therefore, comparisons among different configurations can be easily performed, as well as climate implications on the same system. Beside the final result of the AWS configurator tool, the pdf document (Deliverable 3.3) describes the methodology used to obtain the results, with interesting insights on how to deal with simulations at different scales (component/system or building).