Future Scenarios and Smart Energy Systems Exp. Lab // EIT Digital

Future Scenarios and Smart Energy Systems Exp. Lab

Joint Web Presence of Activity 11831

Future Scenarios and Smart Energy Systems Experience Labs.

The innovation purpose of this activity is to create an integration platform for existing SES demonstrators for virtual co-simulation with real-life data and stakeholder involvement / experience.

The values, added by this activity are:

  • Exploration of large-scale economic and technical feasibility and efficiency of SES using virtual co-simulation
  • Stakeholder analysis and usability trials to incorporate user motivation and experience
  • Integrating platform for ERI catalysts
  • Showcase for EIT ICT Labs

List of participating partners in this activity:

  1. Aalto University
  2. Centrum Wiskunde & Informatica (CWI)
  3. Deutsche Forschungszentrum für Künstliche Intelligenz (DFKI) GmbH
  4. fortiss GmbH (in cooperation with Siemens Corporate Technology)
  5. Fraunhofer FIRST
  6. Imperial College London
  7. INRIA
  8. Karlsruhe Institute of Technology (KIT)
  9. Siemens AG, Corporate Technology (in cooperation with fortiss GmbH)
  10. TU Delft
  11. University of Helsinki (Helsinki Institute for Information Technology HIIT)

Aalto University

Description of SES experience lab and the platform used for the experiment:

Aalto University focuses on the load side of the smart grid. We have developed a simulation platform called PiccSIM (Platform for integrated control and communications co-simulation) that enables us to co-simulate control loops, plant, and communication protocols. We also have developed a test bed for wireless sensor system (WSS) experimentation.

Short description of the experiments planned and the experiences obtained:

  1. We have utilized the PiccSIM tool for developing protocols and sensors for various automation applications including building automation and crane control systems. The simulation platform could be utilized to model various parts of the smart energy systems in detail.
  2. We are currently building a WSS testbed for real-time energy consumption tracking and control purposes. The platform consists of wirelessly connected nodes for power metering and switching power on and off in a electric plug.

Short description of approach used for the experiment:

We will conduct both simulation studies and practical measurements of the energy consumption in office and home environments.

Short description of the expected results of experiments:

Depending on the class of experiments, two different approaches will be used:

  1. Technical demonstrator: Fully functional WSSS testbed system for monitoring and controlling energy consumption in office and home environments.
  2. Evaluation platform: Detailed co-simulation model

Weblink:

www.aalto.fi


Centrum Wiskunde & Informatica (CWI)

Details coming soon....


Deutsche Forschungszentrum für Künstliche Intelligenz (DFKI) GmbH

Description of SES experience lab and the platform used for the experiment:

The living lab and the final demonstrator will be established to show the results of the PeerEnergyCloud Project. The project, which is focused on the development of solutions for the intelligent distribution and usage of renewable energy will comprise photovoltaic cells, additional sensors and actuators in households of the “Micro Grid”. The aim is the development of innovative recording and forecasting methods for the development of load curves to optimize the load flow, as well as the establishment of a virtual marketplace for power trading.

Short description of the experiments planned and the experiences obtained:

The aim of the "Peer Energy Cloud" consortium is the development of innovative recording and forecasting methods for the development of load curves to optimize the load flow, as well as the establishment of a virtual marketplace for power trading within the so-called "Micro Grids."

  1. Improved prediction of energy generation
  2. Improved agent based load balancing

Short description of approach used for the experiment:

Gathering fine grained energy consumption profiles as well as energy generation profiles on an individual prosumer basis lead to an bottom up approach of load balancing in the Micro Grid

  1. Technical demonstrator as a proof of concept
  2. Evaluation platform for the developed energy consumption/generation forecasting methods as well as the agent based trading system
  3. Innovation platform for testing new functionalities and the development of value added services

Short description of the expected results of experiments:

The marketplace allows the balancing of energy demand and supply within the local grid, which in turn reduces stress on the nationwide grid. This bottom-up approach helps to increase the overall network stability and reduces the need for costly upgrades to the nationwide grid infrastructure.

  1. Optimized load balance
  2. Increased overall network stability
  3. Reduces the need of costly grid infrastructure updates

Weblink:

www.PeerEnergyCloud.de (upcoming)

http://www.dfki.de/web (company website)

Other partners/organizations participating in the experience lab/experiments:

  1. Seeburger AG
  2. AGT R&D Germany
  3. Karlsruhe Institut of Technology (KIT)
  4. Stadtwerke Saarlouis

fortiss GmbH

Description of SES experience lab and the platform used for the experiment:

The Munich Experience Lab is a living laboratory set up of a 'Smart Micro Grid' demonstrator. It combines components such as photovoltaic cells, battery storage, smart meters together with the already available components in the building like air-conditioning, shutter control, resulting in a prosumer (i.e. producer/consumer) gird node, capable of locally and actively balancing energy demand and supply as well as acting as a smart node in larger grids.

Short description of the experiments planned and the experiences obtained:

The Munich SES experience lab will be used in three different experiments:

  1. Technical demonstrator: Proof-of-concept to evaluate the possibilities to support energy efficient work places.
  2. Evaluation platform: Field trials enabling economic cost/benefits analysis in a real-world scenario.
  3. Innovation platform: Stakeholder experiments concerning the provision of new services in SES/energy efficient living.

Short description of approach used for the experiment:

Depending on the class of experiments, three different approaches will be used:

  1. Technical demonstrator: Implementation of core functionalities using a new integrated service-oriented architecture.
  2. Evaluation platform: Long-term measurements providing detailed usage-profiles and production/consumption data.
  3. Innovation platform: Implementation of experimental functions and performance of user acceptance tests.

Short description of the expected results of experiments:

Depending on the class of experiments, three different approaches will be used:

  1. Technical demonstrator: Fully functional prototype, implementing core functionalities including facility management and officer user functions.
  2. Evaluation platform: Detailed consolidated usage data.
  3. Innovation platform: Prototypic enhanced functions and test reports.

Weblink:

www.fortiss.org

Other partners/organizations participating in the experience lab/experiments:

  1. Siemens AG, Corporate Technology
  2. Center for Digital Technology and Management

Fraunhofer FIRST

Description of SES experience lab and the platform used for the experiment:

Fraunhofer FIRST will set up a ‘Load Balancing’ demonstrator, where (additional) consumption loads, e.g. for charging batteries of e-mobiles or other schedulable consumptions can be distributed. The context will be local (low-voltage) energy networks where additional loads have be scheduled on top of base loads such that the network capacity is never exceeded and temporal restrictions are considered. The demonstrator will be prepared for future extensions, i.e. dynamic re-balancing and the consideration of energy productions resulting from renewable energy producers (e.g. solar panels, wind turbines etc.).

Short description of the experiments planned and the experiences obtained:

The ‘Load Balancer’ will be used for proofs-of-concept to evaluate the possibilities to adjust energy productions and consumptions in local energy networks.

Short description of approach used for the experiment:

  • Specification of basic load profiles, modeling of producer and consumer behaviors (productions/consumptions): profiles, time windows, availability etc.
  • Implementation of new distribution strategies and evaluation of these strategies using different producer/consumer scenarios.

Short description of the expected results of experiments:

  • Feasiblitiy/Infeasiblity proofs of specific scenarios.
  • Different admissible load distributions.
  • Runtime results for different strategies and computed load distributions

Imperial College London

Description of SES experience lab and the platform used for the experiment:

The Maurice Hancock Smart Energy Lab has both its own hardware experimental facilities and data gathering from external real networks. The internal hardware comprises a flexible set of network connections and a programmable voltage source connected to PV, batteries and other inverter-based distributed energy resources plus active and passive loads. The inverters have rapid prototyping control systems that allow verification of smart grid control schemes. The Lab has a data to the network centre controlling the London area for analysis of smart metering and smart grid trials.

Short description of the experiments planned and the experiences obtained:

  1. The Maurice Hancock Lab will be used for:
  2. A technical demonstrator for decentralised control schemes such as agent-based control.
  3. A technical demonstrator of demand-side network services.
  4. An evaluation platform for the analysis of data from field trials of smart metering and smart grid technologies and control practices.

Short description of approach used for the experiment:

  1. As a technical demonstrator, the lab will be configured to represent a variety of network scenarios. The inverters will be configured to perform a variety of load and generation scenarios. Software solutions for the control over-lay can hen be tested and assessed.
  2. As an evaluation platform, the lab will collected data from the Low Carbon London project which will be used to analyze the technical and economic effectiveness of using distributed generation and controllable loads to manage the network and satisfy customer expectations.

Short description of the expected results of experiments:

  1. The key outcome of the technical demonstrator is verification of proposed control algorithms through comparison of experimental results with predictions from theory or simulation studies.
  2. The key outcome of the evaluation platform is analysis of long term data sets that demonstrate how effective smart grid solutions are in real world situations.

Weblink:

www3.imperial.ac.uk

Other partners/organizations participating in the experience lab/experiments:

Many of the facilities have been developed in conjunction UK Power Networks to support specific research projects. Several of the experimental hardware configurations have been developed to support the work of Supergen FlexNet which is funded by the Research Councils UK energy programme.


INRIA

Description of SES experience lab and the platform used for the experiment:

The Grenoble Smart Environments lab is a In-Vitro experimental site for experiences in observation of human activity for smart systems and services. The laboratory is currently composed of a 50 square meter space, an adjacent hall way (100 meters by 2 meters). The lab space is organized as an kitchen, living room and meeting room, and equipped with a KNX electrical sensing and control system, multiple cameras, microphones and infrared presence sensors. The accompanying hall way has a network of visual and acoustic sensors.

Short description of the experiments planned and the experiences obtained:

The system is currently used for experiments in integrating information from electrical activity, computer activity, infrared presence, acoustic signals and visual action recognition to construct a model of activity. This will be used for learning and predicting activity sequences. The system is used to develop and test software for:

  1. Fusion of information for activity modeling
  2. Recognition of activity classes
  3. Leaning predictive models for activity sequences, and daily living patterns.

This facility is also used for developing components for an integrated comfort management planned for a test bed facility to be implemented in the ENSIMAG building across the street from INRIA.

Short description of approach used for the experiment:

The facility is primarily used to acquire test data for controlled experiments. INRIA personal act out scripted scenarios multiple times. The data is then divided into training and test data sets. Models learned on the training data are evaluated with test data.

In the future, experiments will be performed to learn long term activity patterns on the scale of 24 hours and 7 day weeks.

Short description of the expected results of experiments:

  1. Evaluation of performance of components for sensing activity
  2. Evaluation of performance for software systems for integrating sensor data into an activity model.
  3. Test data for long term activity modeling experiments.

Weblink:

www.inria.fr

Other partners/organizations participating in the experience lab/experiments:

  1. Schneider Electric.
  2. Novazion inc. (local SME)
  3. Visidom inc. (local SME working on embedded sensors).

Karlsruhe Institute of Technology (KIT)

Description of SES experience lab and the platform used for the experiment:

The Smart Home on the KIT campus is part of the research project "MeRegioMobil" and represents the prototype of an energy-efficient household of the future which integrates electric vehicles in its energy management system. Typical electric appliances, such as a washing machine, a dish washer, or a refrigerator, are supposed to serve as observable consumer loads. The electric appliances employed in the project represent both conventional commercially available devices as well as intelligent and therefore controllable ones.


Photovoltaic panels as well as a micro combined heat and power plant are put in place as decentralized energy sources. A battery-charging station is also integrated into this laboratory, so that electric vehicles can be incorporated into the smart home both in forms of consumer loads and electrical storage systems.


An Energy Management Panel (EMP), installed inside the smart home, serves as the central information point for the test inhabitants, by visualizing any information about the appliances, the status of the electric vehicle as well as the variable price tariff set for the next 24 hours.

Short description of the experiments planned and the experiences obtained:

The KIT smart home will be used for several experiments, such as:

  1. Evaluation of several test living phases, each lasting for several weeks/months, where typical load profiles generated by real people living in the smart home can be examined. Their usage of the appliances is influenced by several fictitious variable electricity price signals which are based on the current load in the grid and visualized via the EMP. Those profiles can be used for load predictions and thus influence the adaptive autonomous coordination of the intelligent appliances (based on the smart home controller using an Organic Computing approach) which themselves have a certain degree of freedom regarding their time of use (adjustable via the EMP).
  2. Investigation and development of intelligent battery-charging strategies with regards to the energy demand situation and forecast in the smart home.
  3. Usage of the electric vehicle as an integrator and storage device for renewable energy sources.
  4. The electric car as the biggest energy consumer of future households will, together with the smart home, provide load shifting potential to the energy system which could be used for balancing power and virtual power plants. Also distribution system services like reactive power and voltage stability are under examination.
  5. Design and evaluation of innovative business models, software architectures, incentive systems as well as social studies of user acceptance.

Short description of approach used for the experiment:

The approach is to

  • build a maximum version of future electricity efficient household,
  • use modern ICT for observation and control,
  • including Organic Computing concepts and
  • get quite normal people to participate as habitants.

Short description of the expected results of experiments:

Results are predictions of future energy scenarios based on very detailed meter and sensor data created by different kinds of people in the smart home, detailed conclusions about technical and social connections in the scenarios and information about next research needs.

Weblink:

http://meregiomobil.forschung.kit.edu/english/

http://www.kit.edu/english/ (university website)

Other partners/organizations participating in the experience lab/experiments:

  1. BOSCH
  2. Daimler
  3. EnBW Energie Baden-Württemberg AG
  4. Fraunhofer ISI
  5. Opel
  6. SAP Research
  7. Stadtwerke Karlsruhe

Further partners in the related MeRegio project:

  1. ABB
  2. IBM
  3. Systemplan

Siemens AG, Corporate Technology

Siemens AG (Berlin and Munich) is a global powerhouse in electronics and electrical engineering, operating in the industry, energy and healthcare sectors. For over 160 years, Siemens has stood for technological excellence, innovation, quality, reliability and internationality. The company is one of the world's largest providers of environmental technologies. More than one-third of its total revenue stems from green products and solutions. In fiscal 2010, which ended on September 30, 2010, revenue from continuing operations (excluding Osram and Siemens IT Solutions and Services) totaled €69 billion and net income from continuing operations €4.3 billion. At the end of September 2010, Siemens had around 336,000 employees worldwide on the basis of continuing operations. Further information is available on the Internet at: http://www.siemens.com.

The goal of Siemens Corporate Technology and its worldwide network of experts is to act as a powerful innovation partner for Siemens’ business units. The organization provides expertise regarding strategically important areas to ensure the company’s technological future, and to acquire patent rights that safeguard its business operations. Against the background of megatrends such as climate change, urbanization, globalization, and demographic change, CT focuses on innovations that have the potential to change the rules of the game over the long term in areas that interest Siemens.

Description of SES experience lab and the platform used for the experiment:

The Munch Experience Lab is a living laboratory set up of a 'Smart Micro Grid' demonstrator. It combines components such as photovoltaic cells, battery storage, smart meters together with the already available components in the building like air-conditioning, shutter control, resulting in a prosumer (i.e. producer/consumer) gird node, capable of locally and actively balancing energy demand and supply as well as acting as a smart node in larger grids.

Short description of the experiments planned and the experiences obtained:

The Munich SES experience lab will be used in three different experiments:

  1. Technical demonstrator: Proof-of-concept to evaluate the possibilities to support energy efficient work places.
  2. Evaluation platform: Field trials enabling economic cost/benefits analysis in a real-world scenario.
  3. Innovation platform: Stakeholder experiments concerning the provision of new services in SES/energy efficient living.

Short description of approach used for the experiment:

Depending on the class of experiments, three different approaches will be used:

  1. Technical demonstrator: Implementation of core functionalities using a new integrated service-oriented architecture.
  2. Evaluation platform: Long-term measurements providing detailed usage-profiles and production/consumption data.
  3. Innovation platform: Implementation of experimental functions and performance of user acceptance tests.

Short description of the expected results of experiments:

Depending on the class of experiments, three different approaches will be used:

  1. Technical demonstrator: Fully functional prototype, implementing core functionalities including facility management and officer user functions.
  2. Evaluation platform: Detailed consolidated usage data.
  3. Innovation platform: Prototypic enhanced functions and test reports.

Weblink:

http://www.siemens.com (company website)

Other partners/organizations participating in the experience lab/experiments:

  1. fortiss GmbH
  2. Center for Digital Technology and Management

Delft University of Technology

Description of SES experience lab and the platform used for the experiment:

Delft University explores different models of agent-based self-management in power grids and their potential impact. The project studies the underlying mechanisms by which effective system configurations can be discovered. AgentScape, a distributed agent middleware, is used to simulate possible solutions and study their effectiveness.

Short description of the experiments planned and the experiences obtained:

Early experimental results have demonstrated the

advantages of:

  1. A multi-agent system (MAS) based distributed energy resource architecture with multiple autonomous virtual power stations, and
  2. the ability to reconfigure the division of management tasks between virtual power stations. Further work is developing multi-agent based algorithms for locally synchronizing energy use to smooth fluctuations in global demand.

In addition we have demonstrated the use of the AgentScape platform in a

distributed energy monitoring testbed.

Short description of approach used for the experiment:

Using distributed agent based simulation to study the effect of self-management in power-grids.

Short description of the expected results of experiments:

The discovery of effective reliable system configurations that enable self-management in smart grids without requiring major changes to existing infrastructures and regulations.


University of Helsinki

Description of SES experience lab and the platform used for the experiment:

'Energy Life' is a system utilizing wireless sensors and smartphones that turn energy consumers into active players. 'Energy Life' participants play through different levels collecting scores in savings and through advice tip reading and quizzes.

Short description of the experiments planned and the experiences obtained:

Key principles embodied in Energy Life are: situated and combined feedback including knowledge and consumption information, intuitiveness and non-intrusiveness by utilizing an always at hand solution on a touch enabled smartphone, sustained interaction and engagement by using a applied game that connects players within and between households.

Short description of approach used for the experiment:

The heart of the system is the BeAware sensor, which has been developed within the project. Compared to the commercially available alternatives, it is both more accurate and consumed less power. All household data is processed in the BeAware base station, which handles the communication to all sensors and ambient interfaces and acts as a gateway to the Internet.

Any Linux/Unix-based computer can act as a base station, but as it needs to be on (and preferably also online) all the time, a dedicated low-consumption machine is recommended. As part of the trials some different setups have been tested- current VIA Artigo runs a Debian Linux while consuming 15W. The system is also designed so it can interface with 3rd party products as easy as possible. As an example, we also uses Plugwise sensors as an alternative for BeAware sensors and SchellCount 1- and 3-phase meters as an alternative for main meter reading.

The application client of 'Energy Life' is a mobile web application built up using web standards such as HTML5, CSS3 and JavaScript. The main interface consists of a 3-dimensional carousel that can be interacted with using the touch screen of mobile devices. The tool for viewing the energy consumption uses a 3-dimensional landscape model that can be modified using multi-touch gestures.

Short description of the expected results of experiments:

We plan to further develop our demonstrator into

  1. An installation for exhibition
  2. An usability study
  3. A video demonstrating the scenario of the future energy user and design aspects

Weblink:

www.energyawareness.eu

www.helsinki.fi (university website)

See our article in IEEE Computer

Spagnolli et al. Eco-Feedback on the Go: Motivating Energy Awareness, May Issue (V 44, I 5) IEEE Computer

Other partners/organizations participating in the experience lab/experiments:

Engineering Ingegneria Informatica

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