Projects

This page contains an overview of current projects.
An overview of finished projects can be found here.

ADREM

ADREM: Adaptive clustering for Decentralized Resilient Energy Management, DST-NWO joint research project on “Smart Grids”

Homepage:www.adrem-project.org

Partners: TU Delft, CWI, IIT Kanpur, IIT Delhi

Adrem 1

Distributed Energy Resource (DER) management based on adaptive clustering approaches to support local self-optimization and self-healing of the smart grid, is the challenge this project between India and the Netherlands addresses. To deal with power deficits and contingency challenges, consumers and producers together take responsibility for the balancing required to match energy needs and energy availability, by negotiating dynamic service level agreements (SLAs) in advance, within clusters. Cluster membership and SLAs are continually (re-)negotiated due to changes in the environment, the (forecasted) availability of energy resources, the overall energy market, but also participants’ (both consumer and producer) forecasts of their own needs and possibilities. This allows for local, decentralised S/D management based on SLAs, reducing complexity on a wider scale; and it provides the basis for stability of the power system through reconfiguration.

TU Delft staff involvement: dr. Martijn Warnier, prof. dr. Frances Brazier

PhD student: Selma Causevic, MSc

 

 




AgentScape

A Secure, Open, Scalable, Distributed Multi-Agent Platform

Homepage: http://www.agentscape.org

AgentScape is a middleware layer that supports large-scale agent systems. The rationale behind the design decisions are (i) to provide a platform for large-scale agent systems, (ii) support multiple code bases and operating systems, and (iii) interoperability with other agent platforms. Building an open, large-scale distributed system for deployment of multi-agent systems requires conscious deliberation of design alternatives and available technologies. The management of a location and between locations is studied extensively. The AgentScape approach to management is targeted to scalability and autonomy. The concept of self-management closely fits with the design philosophy of AgentScape. Self-management comprises self-healing (fault-tolerance), self-optimization (performance), self-configuration, and self-protection (security). With self-managing locations, AgentScape locations and hosts within a location are autonomous entities that operate in concert to provide resources and services to multi-agent system applications. AgentScape is developed in close cooperation with D-CIS Lab (Thales), The Book Depository, NLnet foundation, University of Bath, Cardiff University, and the University of Warwick.




BART/G32

Citizen Alert Real-Time BART

Homepage:

Partners: TU Delft, TNO, CGI, Dutch Police, City of the Hague

Bart 1
YUTPA-2014-socialCohesion-03

The aim of the project is to develop an innovative platform in which citizens, private organizations, the police and the municipality participate to deal with safety and security issues in the neighbourhood. Providing a means for citizens to influence the quality of their own living environment and security, together with the municipality and the police, to increase social cohesion, and reduce the level and amount of crime, is the focus. Trust, presence and relationships are prerequisites for citizen participation. TUDelft focuses on understanding the current state of the neighbourhood, and designing interventions with which to increase citizen participation over-time, when no emergencies occur, as well as just-in-time in emergency situations that require immediate follow-up.

TU Delft staff involvement: dr. Caroline Nevejan, dr. ir. Marielle den Hengst-Bruggeling, prof. dr. Frances Brazier

PhD student: ir. Afaina de Jong, architect

 

 




CIVIS

CIVIS: Cities as drivers of social change, Funding programme: EU FP7 STREP

Homepage:www.civisproject.eu

Partners: TU Delft, University of Trento, Imperial College London, Aalto University, KTH, Karlsruhe Institute of Technology, TNO, Bruno Kessler Foundation, CREATE-NET, Enel Foundation, Instituto Superior Tecnico (PT), Santer Reply SpA

Civis 1

Smart grids make current energy networks more intelligent and accessible; with new ways of producing energy, citizens are no longer solely energy users but also energy producers, and participants in a system. The CIVIS project explores the potential of social networks and communities to significantly reduce energy use and carbon emissions by developing business models for energy value systems supported by ICT.

More specifically within CIVIS a distributed ICT system is designed to 1) manage communities’ energy needs, 2) negotiate individual and collective energy service agreements and contracts, 3) raise awareness about the environmental impacts of collective energy use, and 4) allocate energy production resources more efficiently. The project focuses on two pilot neighbourhoods located in Trento and Stockholm in in which energy companies, citizen groups and local administrations participate. Project partners will test and evaluate the technology, clarify business potential and estimate the impact of envisioned deployment on a European scale.

TU staff involvement: dr. Martijn Warnier, prof. dr. Frances Brazier

PostDoc: dr. Yilin Huang




MORPHEUS / ORAKEL / digital schouwen

MORPHEUS / ORAKEL / digital schouwen

Organizations with large sets of continuously changing assets such as ProRail face the difficulty of keeping their information systems up-to-date with the actual situation in the field. Currently, they rely heavily on people who assess, measure, and photograph the situation outside, and take measures when they encounter discrepancies. This process is expensive and error-prone. The ‘Digital Survey’ project that Systems Engineering has carried out in 2012 for ProRail and RIGD-Loxia assessed the opportunity to use digital technology to increase efficiency, frequency and quality of the survey process. Four digital high-quality cameras were installed on a train, together with other measurement equipment to gather over 1 Tb of data a day about the train tracks and their surroundings. With object recognition and character recognition algorithms, GIS-technology, 2D and 3D reconstruction methods, and specially developed analysis software, the entire information chain from data gathering, through data fusion and data analysis towards data visualisation, was prototyped and analysed. The project concluded that digital surveying is possible and attractive, but that solutions for managing ‘big data’ have to be applied to deal with the vast amounts of information.




Patterns

Patterns for computer-mediated interaction

The design of application that support computer-mediated interaction is wicked problem. To ensure end-user acceptance and trust in the collaboration support system, it is important to take the end-user requirements into account. In this project, we have the goal to collect socio-technical design patterns that guide and improve the design of computer-mediated interaction. So far have collected more then 70 patterns in a pattern language that supports developers, designers and end-users in defining collaboration support systems. Further, we have refined and evaluated an end-user centered development process that uses patterns to enable the communication between developers and end-users and to allow end-users to specify their requirements.




RobuSmart

Increasing the Robustness of Smart Grids through Distributed Energy Generation: a Complex Network Approach

Today’s grid was designed to move power from centralized supply sources to fixed, predictable loads; The current grid is designed to deal with these loads: the loading capacity of components such as transformers, cables, etc. is currently determined on the basis of an assumed constant loading pattern. Current models for measuring the health of a network are based on known patterns. In the future grid, the Smart Grid, very large numbers of distributed (renewable) energy sources will be connected to the existing grid. These physically distributed generation installations (e.g., gas turbines, micro turbines, fuel cells, solar panels, wind turbines) will be connected to existing infrastructure. This proposal addresses the impact of large-scale integration of distributed wind/solar/micro-grid generation on the robustness of Smart Grids and containment of cascades of failures through intentional disconnection / rerouting of portions of the power grid (those augmented by distributed sources). Self- management techniques, that dynamically connect and disconnect parts of the grid to maintain robustness, will be deployed to this purpose.




SamenMarkt

SamenMarkt: Restoring trust in the horticultural fresh food market using multi-agent system technology

Homepage:www.samenmarkt.nl

Partners: TU Delft, Hogeschool InHolland, LEI Wageningen UR, Advisory Board, and many others.

samenmarkt 1Samenmarkt 2Samenmarkt 3

In the horticultural fresh food supply chain network in the Netherlands a crisis is emerging. The market is out of balance and many growers are facing bankruptcy. Trust between participants in the supply chain network has decreased to an ever low. This project identifies design requirements how trust can be restored in new systems. It introduces the concept SamenMarkt®, a participatory system in which multi-agent system technology enables distributed price negotiation, distribution and communication between producers, retailers and consumers. Distributed multi-agent simulation and emulation create the basis for stakeholder- and participant awareness and involvement in the food market. SamenMarkt® aims to provide a solution space for the emerging global food challenges.

TU Delft staff involvement: dr. Michel Oey, dr. Caroline Nevejan, and prof. dr. Frances Brazier

PhD student: Coen Hubers




SHINE

Sensing Heterogeneous Information Network Environment

SHINE is the flagship project of DIRECT (Delft Institute for Research on ICT at Delft University of Technology). It has started on 01-01-2012 and will end on 31-12-2015.

In our modern society, more and more data is becoming available through technological advances like sensor technology, social media and smartphones. This data can concern a wide variety of aspects of our society, for example environment data like air quality, wind direction, temperature and rainfall, or data about cities like traffic density and parking availability. The scientific challenge that we focus on in this project aims at gathering, processing and interpreting this data for answering information needs. More specifically, we address the following research question:

How can heterogeneous resources (people, mobile sensors, fixed sensors, social media, information systems, etc.) self-organize for answering information needs?

Self-organization is thus a central theme in the project. If a system is able to self-organize, this means that structures and patterns emerge without central control. Many systems exhibit characteristics of self-organization, like a flock of birds, Wikipedia, traffic streams and self-organizing teams in human organizations. An important advantage of self-organization is flexibility. Structures and networks can be formed dynamically according to what is needed and available at a particular moment. In this project we will develop techniques that support the formation of such structures and networks among heterogeneous information resources, aimed at answering information needs.

Self-organization should be robust and dynamic. That is, the techniques for self-organization should be able to handle failures, for example sensors that get disconnected or deliver faulty information, and it should be able to respond in a timely and flexible manner to continuously changing information needs. Moreover, it needs to take place across multiple levels ranging from the lowest in which resource coordination takes place to the highest organization coordination level in which the information need is interpreted and an answer is presented. Finally, self-organization is aimed at organizing heterogeneous resources. This gives rise to challenges concerning aggregation and interpretation of information in a reliable manner.




Stascade

Stable and scalable decentralized power balancing systems using adaptive clustering

The NWO URSES project Stascade: Stable and scalable decentralized power balancing systems using adaptive clustering

Energy systems are in transition. Whereas in the past, energy supply was determined by demand, in future, demand will need to follow supply. Changing prices is a means to this end, via markets in which bids for demand and/or supply determine the market price for a specific period of time.
Such markets, however, have their drawbacks. An important drawback is that markets can typically be highly dynamic, even with disruptive or chaotic behaviour. In addition, current centralised markets are not designed to deal with local network failures. These factors influence the stability and predictability of the energy system. Therefore, there is a need for decentralized, stabilizing, and scalable approaches to balance supply and demand (S/D) of energy.
This proposal focuses on the design of distributed coordination and market mechanisms to this purpose. Distributed dynamic clusters of synergetic consumers and producers are our basic construct. Clusters are designed to coordinate local load balancing for varying periods of time amongst consumers and producers, typically for substantially longer periods than considered in markets. Local load balancing in clusters thus allows for novel, more reliable solutions for global load balancing and can be used in conjunction with (current or novel) external market mechanisms. In addition, clusters are dynamic and can adapt to changing situations, including network failures. This project designs novel models, techniques and approaches for dynamic clustering and market mechanisms for energy S/D balancing, in a cooperation between engineering systems, computer science, and electrical engineering researchers, and network operator, ICT, and business consultants.

Phd student: Nina Voulis, MSc
Supervisors: Dr. Martijn Warnier, prof. dr. Frances Brazier




Storytelling

Learning from projects is one of the major challenges critical to consistent success of project-based organizations. To learn from past projects for current problem situations, knowledge and experience often has to be shared across time or space. However, while it seems to be possible to capture explicit knowledge (e.g. about products and technical problems), softer types of knowledge (i.e. knowledge about the processes that a team had deployed to achieve their goals and why these processes seemed to have worked well or badly) are more difficult to retain. At the same time, the application of softer types of knowledge can be invaluable for e.g. decision-making and problem solving situations in projects. The business value of softer types of knowledge lies within these situations. Based on the observation that experts, engineers and project managers like to tell stories to convey their experiences, this project is based on the following pillars:

  1. Eliciting experiences based on storytelling, structuring, storing, and sharing the results
  2. Situated retrieval, recommendation and refinement of stories and experiences
  3. Usage of the results in e.g. training, decision making, or problem solving situations
  4. Community-based sharing of experiences by using feedback and incentive mechanisms



Symphony

Symphony – a Distributed Smart Grid Experiment Platform

The Smart Grid, as an automated and distributed energy network, offers
viable solutions to the challenges that electricity networks in many
countries face, such as integration of renewable energy sources, managing
peak demands, and increasing security and environmental concerns. For example,
software agents running on customer premises or embedded in appliances and
equipment can be used to plan future energy consumption and to shift loads
according to pre-defined constraints. However, testing such distributed
solutions prior to actual deployment in domestic households is a challenge.
Simulations may not capture all the aspects of distributed, large-scale,
complex environments, such as one can find in the Smart Grid.

Symphony is a multi-agent distributed experiment platform that allows
running real-world Smart Grid experiments within a distributed environment
with the participation of both simulated and real-world actors. Symphony
takes care of interconnection and security issues so that actors in
different physical locations can safely join distributed experiments. The
flexible infrastructure provided by Symphony connects participants to
distributed services. These participants can use the platform, for example,
to experiment with pricing and load balancing.

Symphony is being developed in the context of two European Institute for
Innovation and Technology projects: SES European Virtual Smart Grid Lab (11814)
and Open SES Experience Labs (11831)




Tele_Trust

www.lancelmaat.nl

‘Tele_Trust for networking bodies.’

‘I am part of the networks and the networks are part of me…I link, therefore I am.’ [i]

In today’s networked society, our ‘electronicaly and digitally enhanced bodies’ are often present at one location and ‘meet’ simultaneously with others at several other locations, temporalities and social settings. This project contributes to the foundations of the design of trust, from the perspective of experience, both in private and public spaces, physical and virtual. ‘Tele_Trust’ focuses on exploration of the sensory experience of visibility, presence, reciprocity, and trust in contemporary mediated society. The implications for design of embodiment in participatory systems is core to this project. The research questions address (1) design for perception and experience of trust, (2) design of the experience of physical closeness in mediated realities , (3) design of situational awareness in public and private spaces. Research through art practice includes the design of a series of experimental ‘social labs’ as ‘meeting places’. These ‘social labs’ are designed on the basis of artistic and scientific analysis, created as artistic work, and presented in smart public spaces in different geo-political contexts and socio- cultural domains. The public will be invited to participate and reflect as co-researchers on their experience of important concepts related to embodiment and trust (e.g. ’presence’, ‘identity’, and ‘community’). The methodology of reflective witnessing will provide a source of information for analysis, synthesis and understanding of embodiment and intersubjective engagement in participatory networked systems. In ‘Tele_Trust’ new insights, innovative technologies, and the human body meet to initiate and inspire new types of intersubjective engagement.

[i] William J. Mitchell, ME++: The Cyborg Self and the Networked City, 2004.

About the artists

www.lancelmaat.nl

Karen Lancel and Hermen Maat design objects, projections and digital networks to create ‘meeting places’ in city public spaces. These ‘meeting places’ are designed as seductive, visual performances and installations. Each ‘meeting place’ or social sculpture functions as an artistic ‘social lab’ in which the artists invite their audience as co-researchers. The audience is invited to experiment and play with social technologies; and to reflect on their perception of the city, and their experience of body, presence, identity and community.

Through their artworks Lancel and Maat research contemporary social systems in a mediated society; in smart cities and augmented / immersive spaces. For every ‘meeting place’ they deconstruct existing communication technologies and strategies; and design a new innovative, integrated montage and process of embodied and virtual interaction. The ‘meeting places’ are shown internationally in dynamic urban public spaces such as museums, squares, theatre halls, trains stations;  among others in the cities of Seoul, New York, Melbourne, Shanghai, Istanbul, Paris, London, Amsterdam. Through audience interaction Lancel and Maat show social portraits of urban mediated life.

Shows (selection)

  • Ars Electronica Linz, Austria  //  ZKM Karlsruhe, Germany // De Appel Amsterdam, NL//
  • Stedelijk Museum Amsterdam, NL // Stedelijk Museum Bureau Amsterdam, NL //
  • Transmediale Berlin, Germany // Eyebeam, New York, USA //
  • Artfair Artforum Berlin, Germany // Urban Screens 08, Melbourne, AUS //
  • ISEA 04 Helsinki, Finland // Biennale Villette Numerique, Paris, France //
  • Art Center Nabi, Seoul, South-Korea // Smart Project Space Amsterdam, NL  //
  • Chinese European Art Center-CEAC, Xiamen // DCC Shanghai – World Expo 2010, China //
  • The Second Art @ Science International Exhibition/Symposium, Tsing Hua University Beijing, China //
  • V2_LAB for Unstable Media  Rotterdam, NL // Urban Screens 05 Amsterdam, NL //
  • Dutch Institute for Media Art Amsterdam (NIMK), NL // Technical University of Delft  //
  • ISEA Istanbul 2011 Turkey //  Banff New media Institute Canada  //
  • Second New Media Art Exhibition at Millennium Art Museum Beijing, China //

Lancel is currently artistic PhD candidate at Technical University of Delft: ‘Participatory Systems Initiative’ (prof dr Frances Brazier, dr Caroline Nevejan). She was member of the Amsterdam School of  the Arts (AHK) research group ‘ARTI’ (Artistic research, Theory & Interpretation) of Professors Marijke Hoogenboom and Henk Borgdorff 2008-2011. Maat teaches media art at the Minerva Art Academy Groningen, and is part of the Minerva Academy research group on ‘Image in Context’ of dr. Anke Coumans. Lancel headed the interactive media art department (IME) at MFA Frank Mohr Institute Groningen (core lecturer) 2005-2008.




TIM – Technology in Motion

TIM – Technology in Motion

Homepage: http://tim.lumc.nl

Funding program: NWO

Partners: LUMC, VU Amsterdam, Motekforce Link, Cinoptics, CleVR

Tim 1

Our ability to  perform self-care, work, recreation, our vitality – all influence our ability to participate in today’s society. Understanding movement in merging realities is of increasing importance for many different fields of applications.  The need for effective means to diagnose, monitor and treat disorders associated with motoric dysfunction is the specific challenge this project addresses. Innovative approaches to patient-friendly  engagement in merging realities, using Augmented Reality (AR) and Serious Gaming are explored to facilitate our understanding of new cost-effective, scalable means for evaluation and treatment of motoric dysfunction in today’s medical practice.

TU Delft staff involvement: dr. Stephan G. Lukosch, prof. dr. Frances Brazier

PostDoc: dr. Marina Cidota

 




Comments are closed.