SEMANTIC TOOLS FOR CARBON REDUCTION IN URBAN PLANNINGCo-funded by the European Commission within the 7th Framework ProgrammeFocusing on the city of Manresa where major urban redevelopments are on-going. Manresa is the capital of the region of Bages, located in the geographic centre of Catalonia, with a population of 76,558. Case Study: ManresaSpainFocusing on the North Harbour development project is the largest Northern European development plan in recent years. When fully developed, the area will accommodate 40,000 residents and 40,000 work places.Case Study: CopenhagenDenmarkFocusing on the Riverside Dean in the West End of Newcastle, which is one of the most deprived areas in the North East of England. Riverside Dene has been identified as a key area for investment in Newcastle City Council regeneration strategy. Case Study: NewcastleUnited KingdomNews & EventsStay up to date with SEMANCOcontact us to join our networkBlog | GIS | More infoBlog | GIS | More infoBlog | GIS | More infoDescriptionThe SEMANCO research project is co-funded by the FP7 "ICT systems for Energy Efficiency" program of the European Union. It began in September 2011 and will last three years. There are nine partner organisations working on the project from Denmark, Germany, Italy, Spain, Sweden and United Kingdom. This research consortium includes universities, community organisations, an IT developer and an environmental consultant. The project is coordinated by the Engineering and Architecture Department at La Salle School, Ramon Llull University, Barcelona, Spain. PurposeObjectivesMethodologyOutcomesImpactsPrototype Video
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.
The objectives of SEMANCO are to:•Develop quantifiable strategies to significantly reduce CO2 emissions through ICTs•Structure energy related data according to the Open Data initiative and the ISO standards•Develop a semantic-based energy information framework to support decision making •Apply automatic data analysis processes to support energy analysis and visualization tools •Provide verifiable and transparent methods of measuring energy performance•Integrate energy analysis, visualization and optimisation tools and techniques •Demonstrate the value of decision support tools in terms of their cost effectiveness •Develop generalised guidelines for urban planning and redevelopment projects.
To define the scope and purpose of the methods and tools to be developed in the project, SEMANCO will carry out a requirements analysis in three case studies, in Spain, Denmark and United Kingdom. The EU policies and directives dealing with CO2 emissions and urban planning are translated in different energy- related policies across member states. Each of which has different administrative boundaries and authorities for the implementation of these policies which operate at different geographical scales. However carbon reduction measures cannot be constrained to particular geographic or administrative boundary; rather successful policies and plans must be integrated across geographical and administrative boundaries. The semantic framework to be developed in SEMANCO seeks to foster such an integrated analytical approach.
The technological solutions developed in SEMANCO encompass:•Providing access to distributed sources of energy related data •Semantic modelling of energy data, according to EU standards •Integrated tools, that access and update the semantically modelled data which support: oAutomatic classification of building types within a given area oEnergy data analysis via data-mining, data and knowledgerepresentation oEnergy simulation, visualization and optimisation oInteractive urban design •These tools will be integrated with the GIS software 3dMaps provided by Agency9.
The findings of the SEMANCO project are expected to contribute to: •Increases in energy efficiency standards and the use of renewable energy technologies •The formulation of verifiable and transparent methods of measuring the energy performance of buildings •The involvement of multiple stakeholders in processes for identifying alternative urban planning strategies •Increasing the accuracy with which the CO2 emissions of an urban area are quantified •Improved EU policy development by enabling consistent comparisons across EU countries •Identifying how different regulatory regimes impact on the potential for implementing CO2 friendly measures.