Objectives While many cities in Europe and in the world have issued climate change policies and set targets for reduction of CO2 emissions, their implementation in urban planning practice remains a major challenge. Devising effective decision systems which support CO2 emissions reduction demands a systems approach which enables different actors -policy makers, planners, engineers, consultants, and inhabitants- to correlate a diversity of problems, spanning across distinct domains and geographic scales.
The technological approach of SEMANCO is based on the integration of energy related open data structured according to standards, semantically modelled and interoperable with a set of tools for visualizing, simulating and analysing the multiple relationships between the factors determining CO2 production. A Semantic Energy Information Framework (SEIF) will be developed to model the energy-related knowledge planners and decision makers need. The tools interoperating with the framework will support systems innovation and include available technologies, enhancements to existing open source platforms, and new technological solutions.