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A Hybrid Dynamic System Assessment Methodology for Multi-Modal Transportation-Electrification

Author

Listed:
  • Thomas J.T. Van der Wardt

    (Thayer School of Engineering, Dartmouth College, 14 Engineering Drive, Hanover, NH 03755, USA)

  • Amro M. Farid

    (Thayer School of Engineering, Dartmouth College, 14 Engineering Drive, Hanover, NH 03755, USA)

Abstract

In recent years, electrified transportation, be it in the form of buses, trains, or cars have become an emerging form of mobility. Electric vehicles (EVs), especially, are set to expand the amount of electric miles driven and energy consumed. Nevertheless, the question remains as to whether EVs will be technically feasible within infrastructure systems. Fundamentally, EVs interact with three interconnected systems: the (physical) transportation system, the electric power grid, and their supporting information systems. Coupling of the two physical systems essentially forms a nexus, the transportation-electricity nexus (TEN). This paper presents a hybrid dynamic system assessment methodology for multi-modal transportation-electrification. At its core, it utilizes a mathematical model which consists of a marked Petri-net model superimposed on the continuous time microscopic traffic dynamics and the electrical state evolution. The methodology consists of four steps: (1) establish the TEN structure; (2) establish the TEN behavior; (3) establish the TEN Intelligent Transportation-Energy System (ITES) decision-making; and (4) assess the TEN performance. In the presentation of the methodology, the Symmetrica test case is used throughout as an illustrative example. Consequently, values for several measures of performance are provided. This methodology is presented generically and may be used to assess the effects of transportation-electrification in any city or area; opening up possibilities for many future studies.

Suggested Citation

  • Thomas J.T. Van der Wardt & Amro M. Farid, 2017. "A Hybrid Dynamic System Assessment Methodology for Multi-Modal Transportation-Electrification," Energies, MDPI, vol. 10(5), pages 1-25, May.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:5:p:653-:d:98007
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    as
    1. Pillac, Victor & Gendreau, Michel & Guéret, Christelle & Medaglia, Andrés L., 2013. "A review of dynamic vehicle routing problems," European Journal of Operational Research, Elsevier, vol. 225(1), pages 1-11.
    2. Dijk, Marc & Montalvo, Carlos, 2011. "Policy frames of Park-and-Ride in Europe," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1106-1119.
    3. Fredrik Carlsson & Olof Johansson-Stenman, 2003. "Costs and Benefits of Electric Vehicles," Journal of Transport Economics and Policy, University of Bath, vol. 37(1), pages 1-28, January.
    4. Manzetti, Sergio & Mariasiu, Florin, 2015. "Electric vehicle battery technologies: From present state to future systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1004-1012.
    5. Andersen, Poul H. & Mathews, John A. & Rask, Morten, 2009. "Integrating private transport into renewable energy policy: The strategy of creating intelligent recharging grids for electric vehicles," Energy Policy, Elsevier, vol. 37(7), pages 2481-2486, July.
    6. Galus, Matthias D. & Zima, Marek & Andersson, Göran, 2010. "On integration of plug-in hybrid electric vehicles into existing power system structures," Energy Policy, Elsevier, vol. 38(11), pages 6736-6745, November.
    7. João Soares & Bruno Canizes & Cristina Lobo & Zita Vale & Hugo Morais, 2012. "Electric Vehicle Scenario Simulator Tool for Smart Grid Operators," Energies, MDPI, vol. 5(6), pages 1-19, June.
    8. Yabe, Kuniaki & Shinoda, Yukio & Seki, Tomomichi & Tanaka, Hideo & Akisawa, Atsushi, 2012. "Market penetration speed and effects on CO2 reduction of electric vehicles and plug-in hybrid electric vehicles in Japan," Energy Policy, Elsevier, vol. 45(C), pages 529-540.
    9. Burke, Andy, 2004. "Present Status and Marketing Prospects of the Emerging Hybrid-Electric and Diesel Technologies to Reduce CO2 Emissions of New Light-Duty Vehicles in California," Institute of Transportation Studies, Working Paper Series qt37x1t7fz, Institute of Transportation Studies, UC Davis.
    10. Kanninen, Barbara J., 1996. "Intelligent transportation systems: An economic and environmental policy assessment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(1), pages 1-10, January.
    11. Pasaoglu, Guzay & Honselaar, Michel & Thiel, Christian, 2012. "Potential vehicle fleet CO2 reductions and cost implications for various vehicle technology deployment scenarios in Europe," Energy Policy, Elsevier, vol. 40(C), pages 404-421.
    12. Li, Zhe & Ouyang, Minggao, 2011. "The pricing of charging for electric vehicles in China—Dilemma and solution," Energy, Elsevier, vol. 36(9), pages 5765-5778.
    13. Sovacool, Benjamin K. & Hirsh, Richard F., 2009. "Beyond batteries: An examination of the benefits and barriers to plug-in hybrid electric vehicles (PHEVs) and a vehicle-to-grid (V2G) transition," Energy Policy, Elsevier, vol. 37(3), pages 1095-1103, March.
    14. Nathan H. Gartner, 1980. "Optimal Traffic Assignment with Elastic Demands: A Review Part I. Analysis Framework," Transportation Science, INFORMS, vol. 14(2), pages 174-191, May.
    15. Janson, Bruce N., 1991. "Dynamic traffic assignment for urban road networks," Transportation Research Part B: Methodological, Elsevier, vol. 25(2-3), pages 143-161.
    16. Björn Nykvist & Måns Nilsson, 2015. "Rapidly falling costs of battery packs for electric vehicles," Nature Climate Change, Nature, vol. 5(4), pages 329-332, April.
    17. Yan Zhou & Michael Wang & Han Hao & Larry Johnson & Hewu Wang & Han Hao, 2015. "Plug-in electric vehicle market penetration and incentives: a global review," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 20(5), pages 777-795, June.
    18. Weiss, Martin & Patel, Martin K. & Junginger, Martin & Perujo, Adolfo & Bonnel, Pierre & van Grootveld, Geert, 2012. "On the electrification of road transport - Learning rates and price forecasts for hybrid-electric and battery-electric vehicles," Energy Policy, Elsevier, vol. 48(C), pages 374-393.
    19. Ash, J. & Newth, D., 2007. "Optimizing complex networks for resilience against cascading failure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 380(C), pages 673-683.
    20. Perujo, Adolfo & Ciuffo, Biagio, 2010. "The introduction of electric vehicles in the private fleet: Potential impact on the electric supply system and on the environment. A case study for the Province of Milan, Italy," Energy Policy, Elsevier, vol. 38(8), pages 4549-4561, August.
    21. Nathan H. Gartner, 1980. "Optimal Traffic Assignment with Elastic Demands: A Review Part II. Algorithmic Approaches," Transportation Science, INFORMS, vol. 14(2), pages 192-208, May.
    22. Thill, Jean-Claude & Rogova, Galina & Yan, Jun, 2004. "Evaluating Benefits And Costs Of Intelligent Transportation Systems Elements From A Planning Perspective," Research in Transportation Economics, Elsevier, vol. 8(1), pages 571-603, January.
    23. Ahman, Max, 2006. "Government policy and the development of electric vehicles in Japan," Energy Policy, Elsevier, vol. 34(4), pages 433-443, March.
    24. Karabasoglu, Orkun & Michalek, Jeremy, 2013. "Influence of driving patterns on life cycle cost and emissions of hybrid and plug-in electric vehicle powertrains," Energy Policy, Elsevier, vol. 60(C), pages 445-461.
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