3d-gis models to support the co-creation of energy efficient strategies for historic urban environments

Urban models can be powerful tools for energy assessment of urban environments and dissemination of results. ENERPAT project has tested an approach where 3D-GIS support the cocreation of innovative eco-renovation strategies for traditional energy conservation measures from a life cycle perspective, as a way to work with local produced solutions linked with new local business models. Three living labs have been created in Porto, Vitoria and Cahors as demonstration buildings and long-term thinking frameworks including stakeholders of the whole value chain. The solutions based on local materials that are being monitored have been decided by co-creation strategies using multicriteria methodologies. A multiscale characterization, evaluation and monitoring methodology has been defined in order to extrapolate the results of the selected solutions to the whole urban environments. The methodology is based in a 3D-GIS model that interrelates three scales (building, historical centers and city) through a multiscale and multi-thematic set of common key indicators. The assessment identifies the current status and estimates the impact of the selected strategies in terms of the impact on the heritage; sustainability and energy efficiency; and improvement of the quality of life (comfort, air quality, reduction of energy poverty). An urban model of the historical center of Vitoria (Spain) have been created using CityGML standard format and are adapted to support the specifications for energy rehabilitation processes in historic centers. In order to do that, three application domain extensions (energy efficiency, heritage and indicators) has been generated. The resulting CityGML models will be made persistent by storing the information in one place in an XML-based format and in a geospatial data format through the 3DCityDB extension of PostGIS. As a result, the models allow the upscaling of the impact of the monitored strategies at city scale facilitating an agile and fast first estimation of the impact.