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CI-NERGY Report Summary

Project ID: 606851
Funded under: FP7-PEOPLE
Country: Germany

Periodic Report Summary 1 - CI-NERGY (CI-NERGY Smart cities with sustainable energy systems)

The CI-NERGY project showcased in this paper is financed under seventh framework program and demonstrated on of the Initial Training Networks (ITN) that support researchers’ careers and mobility.
The CI-NERGY ITN employs a highly multi-disciplinary approach to sustainable design education via a coordinated PhD programme on urban energy sustainability aimed at training new professionals to meet the urban energy challenges of a low carbon future. The training is being carried out through a close collaboration of six of the best academic research centres and three leading industrial companies from the energy and software technology sectors.

The project work packages are categorized into three groups, namely: Decision Support and Integrated Energy Planning; Urban Energy and Network Modelling; 3D Geospatial Data Server Optimisation Methods and Model Integration. The approach combines various strategies used to address the energy management challenge. The organization of the early stage researcher (ESR) and experienced researchers (ER) working groups includes at least one industry participant and an academic institution ensuring that each ESR have access to both the theories and application of the knowledge transferred between sectors and disciplines. Each ESR research project is assessed on a continuous basis during biannual research workshops organized by the consortium. In addition, a structured training program is proposed with advanced courses over the duration of the project.
Topics cover several scales ranging from individual building performance to blocks of buildings and city quarter levels up to the simulation of an entire city. The topics include:
• energy demand and consumption mapping and monitoring on an urban scale
• optimisation of design and operation of urban supply and distribution systems
• integration of renewable energy and urban energy network models
• demand side management strategies to better match renewable supply and demand and increase flexibilities.

Transdisciplinary approach in training includes real life application on two case study cities (Geneva and Vienna), which were chosen for their very ambitious sustainability goals. Data from these cities are used to validate models and test simulations, as well as provide urban energy planning and user behaviour data input for the PhD. projects. All solutions are implemented and tested on the two case study cities of Geneva and Vienna to ensure that the training provided by the CI-NERGY ITN and the PhD research results can be applied to current urban problems. For the two cities full 3D models in CityGML format have been set up and used as a basis to connect a range of modelling tools as well as to integrate monitoring data from the municipal building stock. The CityGML format was enriched by energy relevant data for every individual building on a city quarter and city scale. This unique setting allowed to analyze demand response strategies in the building sector by activating the large potential of building thermal masses, but also by technical storage systems and storage capacity within the distribution networks itself.

By combining academic and industry partners from all areas of the smart cities field, alternating secondments between industry and academic partners, and providing a rigorous training course that combines theory, application, case study and research skills training, a holistic approach to sustainable design education is created.

• innovative modeling methods of urban energy systems: a real bottom-up modelling approach is used for the simulation of energy consumption at city-level, which includes physical modelling of every building, energy conversion system and distribution networks using engineering methods
• innovative multi-scale framework combining statistical and engineering models for improved prediction of heat demand and energy saving potentials of building stock at the several scales within the city
• full 3D model integration for optimisation and decision support on an urban scale.

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Life Sciences
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