The program will be constantly updated with more details in the upcoming weeks.
|Wednesday, October 4|
|8:30 – 18:00||PhD Workshop (invited participants only)|
|From 19:00||Social dinner PhD Workshop (invited participants only)|
|Thursday, October 5|
|8:30 – 9:00||Conference opening|
|9:00 – 10:00||Keynote by Prof. Kamin Whitehouse|
|10:00 – 10:30||Coffee break|
|10:30 – 12:00||Session 1: smart grid simulation
Using Locally Produced Photovoltaic Energy to Charge Electric Vehicles (René Buffat)
|12:00 – 12:30||Posters&Demos: 1-minute madness|
|12:30 – 14:30||Lunch + Poster&Demo Session|
|14:30 – 16:00||Session 2: classification and clustering
NIWM: Non-intrusive water monitoring to uncover heat energy use in households (Samuel Schöb)
Lightning talk: DFG funding opportunities (Florentin Neumann)
|14:30 – 16:30||Tools&Methods Workshop*|
|16:00 – 16:30||Coffee break|
|16:30 – 18:00||Session 3: standardization and model optimization
Automated Deserializer Generation from CIM Ontologies (Lukas Razik)
|From 19:00||Social dinner|
|Friday, October 6|
|8:45 – 9:00||Welcome session|
|9:00 – 10:00||Keynote by Wolfgang Korosec|
|10:00 – 10:30||Coffee break|
|10:30 – 12:00||Session 4: market-based load management: blockchain, peak-shaving and schenario-based optimization
Privacy-preserving Blockchain-based Electric Vehicle Charging with Dynamic Tariff Decisions (Fabian Knirsch)
|12:00 – 13:30||Lunch|
|13:30 – 15:00||Session 5: market-based load management: thermal/distributed loads
Economic nonlinear MPC for a population of thermostatically controlled loads (Nikita Zemtsov)
|15:00 – 15:30||Wrap-up and farewell|
*This workshop takes place in room 351 in the main building. See details below.
Big Data Analytics for a Diversity of Buildings
ABSTRACT: Buildings have profound impact on human health, productivity, comfort, and energy consumption. The performance of buildings could be significantly improved with data analytics on the thousands of sensing and control points that already exist within a typical building. A key challenge, however, is that every building is unique and, as a result, it is difficult to combine data from multiple buildings and perform generalized analysis. In this talk, we will discuss emerging techniques to find and exploit similarity between buildings in order to enable Big Data analytics on buildings.
Kamin Whitehouse’s research lab develops new technologies at the frontier of Cyber-Physical Systems (CPS), including RF sensing, safety-critical wireless communication, wearable sensors, occupancy sensing, smart buildings, and coordinated control of distributed systems and autonomous drones. His team develops techniques at the intersection of signal processing, control theory, and machine learning. The technologies created by these projects have been downloaded 50,000+ times, have been used by over half a dozen companies to create new products, and are currently running in millions of embedded devices around the world. He has patents granted and pending in a range of CPS techniques. Prof. Whitehouse is serving as Director of the Link Lab, whose mission is to enhance excellence in CPS at U. Virginia. He is a past TPC chair for ACM BuildSys, ACM SenSys, ACM/IEEE IPSN, and EWSN and serves as associate editor of ACM Transactions on Sensor Networks (TOSN) and The PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). He earned a B.A. in Philosophy and a B.S. in Electrical Engineering and Cognitive Science from Rutgers University. He earned a M.S. and Ph.D. in Computer Science from UC Berkeley.
District Heating, University Collaboration and Black Swans
ABSTRACT: From a business perspective research outcome is important, but what matters is impact – how new methods, insights, knowledge derived from a collaboration with a university can contribute to a company’s success and performance. Using an ongoing district heating project as an example, we will take a look at the success factors and obstacles in the collaboration between universities and smaller companies in the energy sector.
Wolfgang Korosec was born in Austria and holds a Master’s degree in Mechanical Engineering and Economics from the Vienna University of Technology. He started his professional career in the automotive supplier industry and as a consultant focusing on computer integrated manufacturing. After moving to Switzerland he joined ETH, the top ranked Swiss Federal Institute of Technology in Zurich where he had the unique opportunity to work on many innovative ICT projects during the raise of the Internet and the World Wide Web. Before leaving ETH Wolfgang was a member of the management team of the ICT service organisation, responsible for mobile and desktop computing. Since September 2011 Wolfgang is CIO of Sankt Galler Stadtwerke, a power utility serving electricity, gas, water, heat and telecommunications. Wolfgang is also president of the Swiss Silicon Valley Association, a non-profit Swiss organization promoting technical and managerial exchanges between the Silicon Valley and Switzerland.
For the last eight years, the PhD workshop Energy Informatics has been a successful forum for young researchers to present their projects, the methods/solutions developed, the tools used in the context of future energy systems. Very different aspects of Energy Informatics (EI) have been addressed over these years, from specific applications such as grid operation, EV charging management or VPP scheduling to systematic topics and architectures like prototyping platforms and standardization processes. Whereas most of the former workshop participants have finished their thesis and are now pursuing interesting careers in EI, some of the tools and methods developed during that work have persisted and since then been further enhanced and established in the respective research groups’ set of tools and methods, i.e. the state of the art in Smart Grid research.
In this workshop on “Tools and methods in Smart Grid research” we aim at presenting some of these in the form of “best practice“ examples. For this reason, we invited EI research groups to present their „bread-and-butter” tools and methods used for Smart Grid research. The workshop will include the following talks:
The OpSim-environment: Application examples
Dr. Frank Marten, Fraunhofer IWES, Kassel, Germany
In this talk we present “OpSim”, which is a testing and simulation environment for control- and aggregation-strategies in the smart grid. The environment contains a (non)real-time multi-voltage level grid simulation, operation strategies for the distribution- and transmission-grid, as well as a virtual power plant. For arbitrary grid models in Germany, geograpically plausible time series can be provided through “scenario generator” tools. In this workshop we showcase OpSim through some demo examples.
The SGAM-Toolbox revisited: Practical experiences and enhanced implementation
DI Goran Lastro, FH-Salzburg, Austria
In this talk the experiences with the SGAM-Toolbox, a means for modelling Smart Grid applications using a standard based approach, will be presented along with overall reception by the community. Besides depicting some of the key features, like development process guidance and documentation support, an insight in the implementation approach for this and common parts of other supported toolboxes by the institute is given.