Nov 7th, 2016 — Inauguration Colloquium for the Research Training Group
"Energy Status Data – Informatics Methods for its Collection, Analysis and Exploitation"
We are pleased to announce that on November 7th, 2016, the Research Training Group "Energy Status Data – Informatics Methods for its Collection, Analysis and Exploitation" will host an inauguration colloquium with a program related to energy status data. We invite all researchers and experts, present and former colleagues and students as well as anybody interested to join us for this occasion. The event will begin at 4 pm in the Tulla lecture hall at KIT Campus South.
Designing future energy systems is a fundamentally important concern of our society. These systems must be able to cope with fluctuating supply of renewable energy as well as with flexible demand. To organize the supply of locally generated energy in a better manner, it is necessary to collect, analyze and utilize so-called energy-status data in a structured fashion. Energy-status data describes all aspects of energy systems, be it measured/metered values, be it derived values such as the degree of aging of batteries. The German National Science Foundation (DFG) has granted a research training program "Energy Status Data – Informatics Methods for its Collection, Analysis, and Exploitation", addressing exactly these issues, also for big systems such as industrial plants. The program has started on May 1st, 2016. Please see www.energystatusdata.kit.edu for more information.
The colloquium will take place on November 7th, 2016 at 16:00 in the Tulla lecture hall. The Tulla lecture hall is located in Building 11.40 in Englerstraße 11, 76131 Karlsruhe (directions via KIT campus plan / Google Maps). Directions to the Karlsruhe Institute of Technology are also available on the KIT home page.
Overview of the Research-Training Group and its Objectives
"Security and Privacy in the IoT and in Energy Infrastructures"
IT infrastructures of energy systems (e.g. SmartGrid) are an important instance of the Internet of Things (IoT) paradigm, i.e., there is a network of physical objects or "things" embedded with electronics, software, sensors, and connectivity to enable objects to exchange data with servers, centralized systems, and/or other connected devices based on a variety of communication infrastructures. IoT makes it possible to sense and control objects creating opportunities for more direct integration between the physical world and computer-based systems. However, because of its fine-grained, continuous and pervasive data acquisition and control capabilities, IoT raises concerns about the security and privacy of data. Deploying existing data security solutions to IoT is not straightforward because of device heterogeneity, highly dynamic and possibly unprotected environments, and large scale. In this talk, after outlining key challenges in data security and privacy, we present initial approaches for securing IoT data, including efficient and scalable encryption protocols, software protection techniques for small devices, and fine-grained data packet loss analysis for sensor networks and SmartGrid environments.
Elisa Bertino (Purdue University, U.S.A.) is professor of computer science at Purdue University, and serves as Director of the Purdue Cyber Space Security Lab (Cyber2SLab). She is also an adjunct professor of Computer Science & Info Tech at RMIT. Prior to joining Purdue in 2004, she was a professor and department head at the Department of Computer Science and Communication of the University of Milan. She has been a visiting researcher at the IBM Research Laboratory (now Almaden) in San Jose, at the Microelectronics and Computer Technology Corporation, at Rutgers University, at Telcordia Technologies. Her recent research focuses on data security and privacy, digital identity management, policy systems, and security for drones and embedded systems. She is a Fellow of ACM and of IEEE. She received the IEEE Computer Society 2002 Technical Achievement Award, the IEEE Computer Society 2005 Kanai Award and the 2014 ACM SIGSAC outstanding contributions award. She is currently serving as EiC of IEEE Transactions on Dependable and Secure Computing.
Prof. Dr. Elisa Bertino
on the Role of the Research-Training Group within KIT
"The Importance of Data Science in Secure and Low-Carbon Energy"
Low-carbon sources of energy, notably electricity, are deploying quickly across Europe and reaching penetration levels that were thought to be very ambitious some years ago. Accommodating more of the highly variable forms of generation requires the energy system to be very flexible especially if we want to maintain a high level of energy security and keep costs at a reasonable level. The presentation will discuss why flexibility is the key to low carbon energy and discuss the roles that a diversity of sources, international interconnection, energy storage and demand-side action play in replacing the flexibility that is lost when fossil-fuel plant is retired. It is clear that extracting good models and useful information from new data sets will be an important step in exploiting the diversity in large numbers of small energy resources. Perhaps even more challenging is to understand the flexibility in different types and patterns of energy consumption and to develop models that can show how that energy demand can be influenced in terms of where and when it happens. This forms part of the journey from a system where inflexible demand is met by flexible generation to system flexibility is exploited where ever it can be found.
Tim Green (Imperial College London, UK) received a B.Sc. (Eng) (first class honours) from Imperial College London, UK in 1986 and a Ph.D. from Heriot-Watt University, Edinburgh, UK in 1990. Both degrees were in electrical engineering. He is a Chartered Engineer in the UK. He was a Lecturer at Heriot Watt University until 1994 and is now a Professor of Electrical Power Engineering at Imperial College London, Deputy Head of the Electrical and Electronic Engineering Department and Director of the Energy Futures Lab. His research interest is in formulating the future form the electricity network to support low-carbon futures. A particular theme is how the flexibility of power electronics and control can be used to accommodate new generation patterns and new forms of load, such as EV charging, as part of the emerging smart grid. He has particular interests in offshore DC networks and of management of low voltage networks. He leads the HubNet consortium of 8 UK universities coordinating research in low-carbon energy networks and is the Network Champion for the Research Councils UK.
Prof. Dr. Tim Green
In case of any queries regarding the colloquium, please contact us at info at energystatusdata.kit.edu.