CITIES Project
Centre for IT-Intelligent Energy Systems in cities
Alexander Tureczek, Ph.D. student DTU Management Engineering
• Me: Alexander Tureczek, Background in statistics from IMM DTU (Compute)
• Worked 5 years with risk modelling and customer classification.
• PhD student in CITIES project WP1.
– Work package 1: End-user analysis using smart meters.
02 December 2015 DTU Management Engineering, Technical University of Denmark
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Introduction to CITIES
• Project focus: Support the Danish target of 100% renewable energy system by 2050.
– All links in the energy production, transmission, distribution and end-user are included. It’s all about integration using IT.
– Supported by Innovationsfonden and 30 other partners.
– 6 PhD students, more are beginning the next year.
– Numerous institutes from DTU and also Aalborg University – http://smart-cities-centre.org/
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02 December 2015 DTU Management Engineering, Technical University of Denmark
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CITIES Work packages
WP1: Energy Services and demand
WP2: Energy Supply – Transmission, storage and conversion
WP3: Intelligent Energy Systems Integration WP4: Intelligent aggregation and markets WP5: forecasting and control
WP6: Simulation and planning
WP7: Decision Making Models and Support Systems
Especially WP1 interests
– Data Science
• Software for analysis (R, Python; Linear and non-linear classification)
• Software for data manpulation (fast and efficient computation of data)
– Computer Science
• Data hub (Collecting data for the DEIC setup)
• Data security (Securing that sensitive data is secure)
• Data prep. and quality
02 December 2015 DTU Management Engineering, Technical University of Denmark
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Computer Science
• Benchmarking data streaming services
• Link data base for different data structures from various sources.
• Database development – tempral / spacial
Data Science
• Automatic data quality checking.
• ”Big data” – online anomaly detection
• Packages for analytics.
02 December 2015 DTU Management Engineering, Technical University of Denmark
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Energy data collection and distribution
• Project focused on harvesting public available data to be used for socio-economic analysis of behavior
• The data could be from Danmarks Statistik, Erhvervsstyrelsen, Geodatastyrelsen or other sources.
• The intend is to create a data repository in the DEIC (Danish E- infrastructure Cooporation).
• Possibility for analysis.
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Sensor and building control systems
• 1: where to optimally place sensors in building. In case of wireless sensors the optimum position becomes even more important. And also the stability of the sensor transmission.
• 2: Software to aggregate and collect data from several sensors at once for use in HVAC or other building related control.
Simulation platform
• Simulation software generic platform project (how to get
different simulation programs to work togeather) Use existing
02 December 2015 DTU Management Engineering, Technical University of Denmark
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Software development
• Sensor > database > analytics > visualisation project – Creation of data structures and software systems for collection of sensor data.
• Data.deic.dk-Zenodo hook project – data from DEIC to Zenodo.
Investigate how a local repository can be integrated in the
Zenodo data base system. This includes a thorough investigation of the administration and user rights features in the Zenodo
system.
• Inhomogeneouse data, numeric data, GIS, BIM etc. multy source search engine (a la Wolfram Alpha) Investigate data structures and systems for collection of data from a variety of different sources and how they can be prepared for usage.
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Final thoughts
• This is just a quick overview of what projects we could use. – it is NOT an exhaustive list!
• Questions now or come visit us building 426 room 125
