D7.1 Project Presentation: MS PowerPoint presentation and website providing a general description of the project as required by the EC standards

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Project funded by the Eurpean Community under the Information and Communication Technologies Programme - Contract ICT-FP7-280733

D7.1 Project Presentation: MS PowerPoint presentation and

website providing a general description of the project as

required by the EC standards

DATA science for SIMulating the era of electric vehicles

www.datasim-fp7.eu

Project details

Project reference: 270833

Status: Execution

Programme acronym: FP7-ICT (FET Open)

Subprogramme area: ICT-2009.8.0 Future and Emerging Technologies

Contract type: Collaborative project (generic)

Consortium details

Coordinator: 1. (UHasselt) Universiteit Hasselt

Partners: 2. (CNR) Consiglio Nazionale delle Ricerche

3. (BME) Budapesti Muszaki es Gazdasagtudomanyi Egyetem

4. (Fraunhofer) Fraunhofer-Gesellschaft zur Foerdering der Angewandten Forschung E.V 5. (UPM) Universidad Politecnica de Madrid

6. (VITO) Vlaamse Instelling voor Technologisch Onderzoek N.V. 7. (IIT) Technion – Israel Institute of Technology

8. (UPRC) University of Piraeus Research Center 9. (HU) University of Haifa

Contact details

Prof. dr. Davy Janssens

Universiteit Hasselt– Transportation Research Institute (IMOB)

Fuction in DATA SIM: Person in charge of scientific and technical/technological aspects

Address: Wetenschapspark 5 bus 6 | 3590 Diepenbeek | Belgium

Tel.: +32 (0)11 26 91 28 Fax:+32 (0)11 26 91 99 E-mail: [email protected] URL: www.imob.uhasselt.be Deliverable details Work Package WP7

Deliverable: D7.1 Project Presentation: MS PowerPoint presentation and website providing a general description of the project as required by the EC standards

Dissemination level: PU

Nature: 0

Contractual Date of Delivery: 31.08.2012

Actual Date of Delivery: 31.08.2012

Total number of pages: 20

Authors: Davy Janssens, Edith Donders

Abstract

This document is the first DATASIM deliverable of WP7 for the first review period (01.09.2011 – 31.08.2012). Both the project presentation and website give an overall overview of the DATA SIM project including goals, project partners and work package organisation. Furthermore a project Factsheet is added.

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Copyright

This report is  DATASIM Consortium 2012. Its duplication is restricted to the personal use within the consortium and the European Commission.

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Content

1 Project Presentation ... 4 2 Project Website... 16 3 Project Factsheet ... 18

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1 Project Presentation

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2 Project Website

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The website includes a built-in intranet accessible for all DATA SIM participants, through an individual password and username. A screenshot of the intranet homepage is included here below.

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3 Project Factsheet

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DATA

science for

siM

ulATing The erA of

elecTric vehicles

PARTNERS

PROJECT CO-ORDINATOR

Prof. dr. Davy Janssens

Transportation Research Institute (IMOB) Hasselt University Wetenschapspark 5 bus 6 3590 Diepenbeek Belgium Phone +32 8911 26-9128 Fax +32 8911 26-9199 E-mail [email protected] PROJECT WEBSITE www.datasim-fp7.eu

Transportation Research Institute (IMOB) – Hasselt University

www.imob.uhasselt.be Prof. dr. Davy Janssens

Istituto di Scienza e Tecnologie dell’Informazione “A. Faedo”

Italian National Research Council (CNR) www.isti.cnr.it

dr. Fosca Giannotti

Budapest University of Technology and Economics (BME)

www.bme.hu

Prof. dr. Albert-László Barabási

Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS (FRAUNHOFER)

www.iais.fraunhofer.de dr. Michael May

Polytechnic University of Madrid (UPM)

www.upm.es

Prof. dr. Jesús Fraile-Ardanuy

Flemish Institute for Technological Research (VITO)

www.vito.be

Prof. dr. Luc Int Panis

Israel Institute of Technology (TECHNION)

www.technion.ac.il Prof. dr. Assaf Schuster

University of Piraeus (UPRC)

www.unipi.gr

Prof. dr. Yannis Theodoridis

University of Haifa (UH)

www.haifa.ac.il Prof. dr. Daniel Keren

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MOBILITY AND ENERGY DEMAND IN A CHANGING WORLD

Part of a sustainable solution to reduce the externalities of car use such as congestion, energy consumption and the negative environmental effects, may lie in the electrification

of road transport. Let us imagine a futuristic scenario where a mass-scale adoption of Electric Vehicles (EV) will materialize.

In terms of power demand, a major concern is that an uncoordinated EV use will result in a considerable load on the distribution grid. Also problems with peak load and voltage unbalance may occur, depending on the EV penetration degree. So some degree of market coordination may be necessary.

The real difficulty however lies in the fact that individuals’ travel behaviour may thoroughly change due to EV. This may cause a deviation of the system optimum (which in fact also happens in the case of congestion in our current transport system).

In order to account for this, a fundamentally different modeling paradigm which is able to account for these intertwined effects is necessary. In DATA SIM this will be done very thoroughly at a highly detailed spatio-temporal and individual agent-based level.

DATA SIM OVERALL OBJECTIVE

DATA SIM aims at providing an entirely new and highly detailed spatio-temporal microsimulation methodology for human mobility, grounded on massive amounts of big data of various types and from various sources.

The goal is to forecast the nationwide consequences of a massive switch to Electric Vehicles, given the intertwined nature of mobility and power distribution networks.

DATA SIM AMBITION

While the increasing availability of big data about human activities provides radical new ways of understanding the social and ecological universe, it is our ambition in this project to complement this information with behaviourally rich data, pertaining to the purpose of human travels. In terms of interdependencies, our advanced integrated methodological environment allows for more realistic and consistent linkages across travel choices made by the individuals in the course of a day than conventional models. It allows us to simulate tens of millions of individual agents, each with their detailed prediction of every activity-travel schedule, enabling more detailed segmentations based on user profiles of the agents, different activity types, trip duration and driving ranges.

Significant breakthroughs can be gained from the project, which lead to novel dimensions of use, along the milestones that were set forward in the European Industry Roadmap for the Electrification of Road Transport from today till 2020.

Many scientists have already pointed out that the goal of social sciences is not simply to understand how people behave in large groups, but to understand what motivates individuals to behave the way they do. This fundamental insight, which can be gained from this project, is a step forward towards the solution of this important challenge. It can help us to better understand the dynamics of our society and, in the longer run, to have an impact on overall and wider societal well-being.

DATA SIM APPLICATION SCENARIOS

Once the fundamental research challenges have been overcome and the system has been built, we will investigate several real-life energy and mobility scenarios. It will enable unprecedented, actionable insights in (i) the management of the electrification of road transport, (ii) the intertwined effect of the mobility and power network and (iii) the efficient management of smart grids.

However, in theory, the model is not only sensitive towards the calculation of energy and mobility scenarios. Also other scenarios outside the targeted application domain can be accounted for.