Smart energy meters are increasingly installed in newly constructed buildings worldwide, as regulated by e.g., the European Union’s Energy Services Directive. Their combination with the vision of an Internet of Things, in which billions of embedded devices will continually monitor the environment, enables the fine-grained monitoring of household and office energy usage, and hence a large range of novel services. While many such functions have been devised so far (e.g., advice how to save energy or the disaggregation of electricity bills), these solutions commonly rely on the availability of hard- and software systems by a single manufacturer. Interoperability, including the potential to integrate new energy metering devices, is mostly unsupported due to the wide variety of (non-compatible) standards and communication protocols.
This workshop will provide a platform to present current research activities in communications and processing of energy consumption data, with its primary focus on electric energy usage. The scope of the workshop includes contributions that address the integration of energy metering equipment from different manufacturers into a single middleware system which operates on a building level, as well as novel means to collect, process and visualize these data. Accepted papers will not only present novel research results in these domains, but also comprise an evaluation in which their merits are assessed.
Topics of interest include, but are not limited to:
- Novel energy metering hardware designs and experiences
- Data collection and command distribution protocols for energy management systems
- Middleware systems for energy data, including novel local data processing algorithms
- Control of alternative energy sources to increase their production efficiency
- Innovative tools to model and visualize energy expenditure and production
- Sensing and actuation of electrical loads
- Privacy and security in energy management middleware systems
- User interfaces for energy display, management and control
|Thursday, 12 March 2015|
|14.00-14.10||SlidesWelcome message by the workshop chairs|
|Session 1: Novel energy-based applications (Chair: Christian Renner)|
|14.10-14.35||PDFSlidesAn Energy Management System for a Smart Office EnvironmentThe evolution of the electricity grid towards the smart grid paradigm is fostering the integration of distributed renewable energy sources in Smart Buildings: a combination of local power generation, battery storage and controllable loads can greatly increase the energetic self-sufficiency of a Smart Building, enabling it to operate in islanded mode or to participate in an Automatic Demand Response framework, thus taking advantage of time-variable tariffs to achieve economical savings.
This paper proposes an energy management system specifically tailored for a Smart Office building, which relies on actual data and on forecasting algorithms to predict the future patterns of both local energy generation and power loads. Performance is compared to the optimal energy usage scheduling, which would be obtained assuming the exact knowledge of the future energy production and consumption trends, showing gaps below 10% w.r.t. the optimum.
(C. Rottondi, M. Duchon, D. Koss, G. Verticale, and B. Schaetz)
|14.35-15.00||PDFSlidesA Demand Response Approach Locally Implementable for WaterbedsThis paper presents a demand response scheme for waterbeds that can be implemented with currently available infrastructure. It balances the requirements of saving energy and shifting power to times with higher power availability by scheduling heating phases such that costs according to an electricity exchange’s virtual electricity tariff are minimized. The approach was successfully validated with a real waterbed under real conditions.
(M. Venzke and V. Turau)
|15.00-15.25||PDFSlidesTraffic Estimation of the PowerMatcher Application for Demand Supply Matching in Smart GridsThe electrical grid is changing from a centralized system with predictable and controllable power generation to a system integrating large numbers of distributed energy resources including weather-dependent renewables. As a consequence, the future retail energy market for electrical energy will have many more participants and see more volatile prices than today, creating the need for new communication and trading infrastructures facilitating.
In this paper, we briefly review PowerMatcher as a possible approach for such an infrastructure, and analytically evaluate its communication characteristics. PowerMatcher is a multi-agent based smart grid communication framework developed by TNO which enables market integration of distributed energy resources and automatic demand supply matching. While the trading side of the framework is well understood, there is no study that considers the communication side. Our results show that PowerMatcher enables scalable retail energy transactions with millions of participants requiring only moderate resources on the communication’s side.
(M. Hoefling, F. Heimgaertner, M. Menth and H. Bontius)
|15.25-15.50||PDFSlidesEnabling Complex Building Energy Visualization by Integrative Event-Driven Data ProvisioningConstantly increasing energy efficiency requirements for buildings call for top-quality systems and services for optimizing the building energy life cycle. The deep integration of ICT systems in heterogeneous building environment demands new approaches, advanced technical algorithms and sophisticated tools. In this paper we introduce our Intelligent Energy Management Platform (INTELLEM), an integrative solution for monitoring, analyzing and visualizing energy performance across multiple buildings. We verified our architectural approach by implementing a prototype capturing real data streams of considerable volume over a prolonged period of time, proving that our event-driven approach ensures the responsiveness of the whole system. We implemented a rich web-interface for visualization, comprising a set of components for comprehensive analysis of building energy performance.
(R. Kurpatov, M. Schmidt, and A. Schuelke)
|Session 2: Keynote address (Chair: Andreas Reinhardt)|
|16.15-17.00||SlidesKeynote address: Protocols for Privacy-aware Smart MeteringSmart Metering is an important service within the Smart Grid. Widely deployed smart energy meters provide valuable information for electricity providers, network operators and customers. But the introduction of Smart Metering is complicated or even halted due to customers privacy concerns. The collected data provides deep insight into the most intimate details of the observed customers life. To overcome this problem, classical and generic approaches like anonymization or pseudonymization are not sufficient. Specialized protocols for privacy-aware Smart Metering are necessary. In this talk, I will talk about the challenges in privacy-aware Smart Metering, existing approaches to the problem and our experiences in developing and implementing privacy-aware Smart Metering protocols.
(Dr. Sören Finster, Karlsruhe Institute of Technology, Germany)
|Session 3: Privacy in smart energy management (Chair: Delphine Christin)|
|17.00-17.25||PDFSlidesPrivacy-friendly Distributed Algorithm for Energy Management in Smart GridsIn recent years the amount of renewable energy sources has been massively increased. The power grids have to face great challenges, e.g. supply fluctuations caused by weather changes or efficient control of consumers. Therefore, power grids have to adapt their energy demand to the available energy sources in order to ensure operability. Smart grids and smart metering promise to overcome these challenges. However, in order to control the demand of a grid, it has to be monitored as accurately as possible to gain good results. This creates a conflict between Quality of Information (QoI) and privacy because a greater amount and accuracy of data results in a decrease of privacy. In this paper we present a privacy-friendly distributed algorithm for the energy management in smart grids that is able to shift and adapt loads and use smart encryption of user data. The algorithm uses a bucket principle where each participant has an own bucket that is encrypted individually and therefore only accessible by a trusted server and himself. In order to transfer additional information needed by the algorithm counters are used that are concealed by random values thus making it impossible to trace the source of the information. By combining all privacy measures, a high level of privacy can be achieved, from the second round of the algorithm on even complete privacy. Results show that the gain in privacy is borne by a data volume overhead.
|17.25-17.50||PDFSlidesEnhancing User Privacy by Data Driven Selection Mechanisms for Finding Transmission-Relevant Data Samples in Energy Recommender SystemsIn order to find energy saving potentials, future home energy recommender systems needs a large database of historic energy consumption information from various appliances. Having reference data, those systems could decide whether an appliance is wasting energy or not.
However, the collection of this reference data degrades the user privacy as energy traces contain sensitive information which allows the exhibition of user behavior. In order to mitigate those privacy implications, we propose a method of sparse data collection. Our proposed solution minimizes the amount of collected reference data by removing energy traces which do not provide new information for the recommender system. Our proposed solution is capable of reducing the collected amount of data by a factor of 2 without lowering the accuracy of the future home energy recommender system.
(F. Englert, M. Rettberg-Päplow, S. Kössler, A. Alhamoud, T. A. Binh Nguyen, D. Böhnstedt, R. Steinmetz)
|17.50-18.00||Workshop closing note|
|Paper Submission:||October 3rd, 2014
|Final Manuscript:||December 10th, 2014|
|Author Notification:||November 17th, 2014||Workshop Date:||March 12th, 2015|
All submissions must be original, unpublished, and not considered elsewhere for publication. We invite submissions up to 6 pages long (10pt font, double column, IEEE format), including text, figures and references.
IEEE LaTeX and Microsoft Word templates are available via the Downloads section on the right hand side of this website. If using LaTeX, please make sure to use the template’s
Each paper will undergo a thorough process of peer reviews by at least three members of the technical program committee. All papers accepted in the workshop will be included in the conference proceedings (submitted to IEEE Xplore®). Submission implies that at least one author will register and attend the workshop to present the publication if the paper is accepted.
- Andreas Reinhardt, Technische Universität Clausthal, Germany
- Christian Renner, Universität zu Lübeck, Germany
- Delphine Christin, Rheinische Friedrich-Wilhelms-Universität Bonn, Fraunhofer FKIE, Germany
- Matteo Ceriotti (University of Duisburg-Essen, Germany)
- Alexander De Luca (LMU München, Germany)
- Paul Dunphy (Newcastle University, UK)
- Wilfried Elmenreich (Alpen-Adria-Universität Klagenfurt, Austria)
- Stefan Fischer (Universität zu Lübeck, Germany)
- Hannes Frey (University of Koblenz-Landau, Germany)
- Stefan Katzenbeisser (TU Darmstadt, Germany)
- Marco Ortolani (University of Palermo, Italy)
- Oliver Parson (University of Southampton, UK)
- Daniele Puccinelli (SUPSI, Switzerland)
- Christian Steger (TU Graz, Austria)
- Volker Turau (TU Hamburg-Harburg, Germany)
- Sebastian Zöller (TU Darmstadt, Germany)