While many cities have issued climate change policies and set targets for reducing CO2 emissions, the implementation of these policies in urban planning is a major challenge. CO2 emissions reduction is a systemic problem that must be addressed at multiple geographical, social and economic scales. This approach to carbon reduction in urban environments can be fostered by exploiting ICTs and the application of semantic energy data modelling. SEMANCO's purpose is to provide semantic tools to different stakeholders involved in urban planning (architects, engineers, building managers, local administrators, citizens and policy makers) to help them make informed decisions about how to reduce CO2 emissions in cities.
Partner: Enginyeria i Arquitectura La Salle (Spain), University of Teesside (GB), Centro Internacional de Métodos Numéricos en Ingeniería (Spain), Politecnico di Torino (Italy), Agency 9 (Sweden), Ramboll (Danmark), Foment de la Rehabilitació Urbana de Manresa (Sp
KEIM - Institut für Knowledge Engineering and Information Management
Dr. Tobias Adamczyk