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D6.1 Scenario M1, M2 and M3 Evaluation and Assessment of Societal Relevance

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D6.1 Scenario M1, M2 and M3 Evaluation and Assessment of Societal Relevance D6.1 Scenario M1, M2 and M3 evaluation and assessment of societal relevance DATA science for SIMulating the era of electric vehicles www.datasim-fp7.eu Project reference: 270833 Project Status: Execution Programme acronym: FP7-ICT (FET Open) details Subprogramme area: ICT-2009.8.0 Future and Emerging Technologies Contract type: Collaborative project (generic) 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 Consortium E.V details 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 Prof. dr. Davy Janssens Universiteit Hasselt– Transportation Research Institute (IMOB) Function in DATA SIM: Person in charge of scientific and technical/technological aspects Contact Address: Wetenschapspark 5 bus 6 | 3590 Diepenbeek | Belgium details Tel.: +32 (0)11 26 91 28 Fax: +32 (0)11 26 91 99 E-mail: [email protected] URL: www.imob.uhasselt.be Work Package: 6 Deliverable: 6.1 Dissemination level: PU Nature: Report Deliverable Contractual Date of Delivery: 31.08.2012 details Actual Date of Delivery: 31.08.2014 Total number of pages: 166 Authors: Jesus Fraile-Ardanuy, Jairo Gonzalez, Roberto Alvaro, David Jiménez (UPM) Luc Int Panis, Jurgen Buekers, Johan Bierkens, Fjo de Ridder, Reinhilde D’hulst (VITO) Muhammad Usman, Luk Knapen (UHasselt) This deliverable illustrates the different applications in the era of Electric Vehicles that can be simulated because of scientific realisations in several other workpackages of the project. The deliverable is organised Abstract along 4 main chapters, being the foreseen M1-M2-M3 scenario’s along with the presentation of a methodology for the calculus of the societal assessment. 1 Project funded by the European Community under the Information and Communication Technologies Programme - Contract ICT-FP7-270833 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Copyright 31 This report is DATASIM Consortium 2014. Its duplication is restricted to the personal use within the 32 consortium and the European Commission. 33 www.datasim-fp7.eu 34 2 1 Content 2 Abbreviations ............................................................................................................................................. 7 3 1 Introduction and Objectives .............................................................................................................. 8 4 2 Task Descriptions ............................................................................................................................. 9 5 3 Task 6.1. Scenarios M1 .................................................................................................................. 11 6 3.1 Introduction ............................................................................................................................... 11 7 3.2 Methodology ............................................................................................................................. 11 8 3.3 WP6-Task 6.1 Achievements ................................................................................................... 14 9 3.3.1 Battery Technology Review (Alvaro, González, & Fraile-Ardanuy, Battery Technology 10 review, 2013) .................................................................................................................................. 14 11 3.3.2 Forecast of the Flemish EV penetration rate based on FEATHERS information (Álvaro, 12 González, Fraile-Ardanuy, Knapen, & Janssens, 2015) ................................................................ 18 13 3.3.3 Estimation of Electric Vehicles’ Consumption based on their mobility (Álvaro, González, 14 Gamallo, & Fraile-Ardanuy, 2013) .................................................................................................. 22 15 3.3.4 Analysis of the type of activities done during optimal intermediate charging schedule 16 (González, et al., 2014) .................................................................................................................. 35 17 3.3.5 Determining the optimal location of charging stations in a city based on real mobility 18 information (Subirá-Rodríguez & Fraile-Ardanuy, 2014) ................................................................ 41 19 4 Task 6.2. Scenarios M2 .................................................................................................................. 46 20 4.1 Introduction ............................................................................................................................... 46 21 4.1.1 Electric power systems ..................................................................................................... 46 22 4.1.2 Electric vehicles and the impact on the electric power system ........................................ 46 23 4.1.3 Mobility and power system ............................................................................................... 48 24 4.2 Methodology ............................................................................................................................. 49 25 4.3 WP6-Task 6.2 Achievements ................................................................................................... 49 26 4.3.1 Analysis of Electric Vehicles’ charging (Fraile Ardanuy, González Perdomo, Álvaro 27 Hermana, & Fuentes Gomáriz, 2014) ............................................................................................ 49 28 4.3.2 Impact assessment of EVs on building power installation (Alvaro Hermana R. , Gonzalez 29 Perdomo, Fraile Ardanuy, & Artaloytia Encinas, 2014) .................................................................. 60 30 4.3.3 Impact on a distribution network (Alvaro Hermana, González Perdomo, & Fraile Ardanuy, 31 Impact of charging EV on a Flemish Semi-Urban Distribution Grid, 2012) .................................... 63 32 4.3.4 Analysis of the impact of charging PHEV-EV in the Belgian transmission grid (Alvaro, 33 Gonzalez, Fraile-Ardanuy, Knapen, & Janssens, 2013) ................................................................ 70 34 4.3.5 Analysis of the impact of charging PHEV and EV in the Spanish national electric capacity 35 (Fraile-Ardanuy, et al., 2012) ......................................................................................................... 77 36 4.3.6 Using Activity-Based Modeling to Predict Spatial and Temporal Electrical Vehicle Power 37 demand in Flanders ........................................................................................................................ 84 38 5 Task 6.3. Scenarios M3 .................................................................................................................. 86 39 5.1 Introduction ............................................................................................................................... 86 40 5.2 Methodology ............................................................................................................................. 88 3 1 5.3 WP6-Task 6.3 Achievements ................................................................................................... 89 2 5.3.1 Analyzing Vehicle-to-Building (V2B) interactions (Gamallo & Fraile-Ardanuy, Stochastic 3 Aggregated Battery for Vehicle to Building Applications, 2012), (Gamallo, Master Thesis, 2013), 4 (Gamallo, Alvaro Hermana, Fraile Ardanuy, González Perdomo, & Fuentes Gomariz, 2013) ...... 89 5 5.3.2 Vehicle to vehicle energy exchange (V2VEE) in smart grid applications (Alvaro Hermana 6 R. , y otros, 2014) ........................................................................................................................... 97 7 5.3.3 Evaluation of the storage capacity due to EV (Alvaro, Gonzalez, Fraile-Ardanuy, Knapen, 8 & Janssens, 2013) ........................................................................................................................ 104 9 5.3.4 Coordinating EV charging in Balancing Power markets (D'hulst, De Ridder, Claessens, 10 Knapen, & Janssens, 2014) (De Ridder, D'hulst, Knapen, & Janssens, 2013) (De Ridder, D'hulst, 11 Knapen, & Janssens, 2013) ......................................................................................................... 108 12 5.3.5 Framework to plan electric vehicle charging strategy for cost optimization ................... 128 13 5.3.6 Effect of shift in electrical vehicles charging periods over charging cost and travel timings 14 131 15 6 Task 6.4. Assessment of societal relevance ................................................................................ 134 16 6.1 Societal impact of EV introduction .......................................................................................... 134 17 6.1.1 Background ..................................................................................................................... 134 18 6.1.2 Summary of the analysis ................................................................................................ 135 19 6.1.3 Introduction ..................................................................................................................... 135 20 6.1.4 Methodology ..................................................................................................................
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