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Linking energy and transport models to support policy making

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  • Gerboni, Raffaella
  • Grosso, Daniele
  • Carpignano, Andrea
  • Dalla Chiara, Bruno

Abstract

Energy is an essential input to the transport system and transport energy use is a major component of the overall energy demand. Transport currently accounts for nearly half of global oil consumption and is the only field to be almost exclusively based upon a sole primary energy source. A possible evolution might be based on more oil-independent vehicles, on a higher use of energy efficient transport modes, on the integration of them through Intelligent Transport Systems (ITS). The answer to this partially global problem can be found both in transport and energy planning as well as in the adoption of new industrial and ICT technologies.

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  • Gerboni, Raffaella & Grosso, Daniele & Carpignano, Andrea & Dalla Chiara, Bruno, 2017. "Linking energy and transport models to support policy making," Energy Policy, Elsevier, vol. 111(C), pages 336-345.
    • Handle: RePEc:eee:enepol:v:111:y:2017:i:c:p:336-345
    DOI: 10.1016/j.enpol.2017.09.045
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    1. Hertel, Thomas, 1997. "Global Trade Analysis: Modeling and applications," GTAP Books, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, number 7685, December.
    2. Schafer, Andreas & Victor, David G., 2000. "The future mobility of the world population," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(3), pages 171-205, April.
    3. Socrates Kypreos & Leonardo Barreto & Pantelis Capros & Sabine Messner, 2000. "ERIS: A model prototype with endogenous technological change," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 14(1/2/3/4), pages 347-397.
    4. Pasaoglu, Guzay & Harrison, Gillian & Jones, Lee & Hill, Andrew & Beaudet, Alexandre & Thiel, Christian, 2016. "A system dynamics based market agent model simulating future powertrain technology transition: Scenarios in the EU light duty vehicle road transport sector," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 133-146.
    5. Thiel, Christian & Nijs, Wouter & Simoes, Sofia & Schmidt, Johannes & van Zyl, Arnold & Schmid, Erwin, 2016. "The impact of the EU car CO2 regulation on the energy system and the role of electro-mobility to achieve transport decarbonisation," Energy Policy, Elsevier, vol. 96(C), pages 153-166.
    6. Daly, Hannah E. & Ramea, Kalai & Chiodi, Alessandro & Yeh, Sonia & Gargiulo, Maurizio & Gallachóir, Brian Ó, 2014. "Incorporating travel behaviour and travel time into TIMES energy system models," Applied Energy, Elsevier, vol. 135(C), pages 429-439.
    7. Manne, Alan & Mendelsohn, Robert & Richels, Richard, 1995. "MERGE : A model for evaluating regional and global effects of GHG reduction policies," Energy Policy, Elsevier, vol. 23(1), pages 17-34, January.
    8. Howells, Mark & Rogner, Holger & Strachan, Neil & Heaps, Charles & Huntington, Hillard & Kypreos, Socrates & Hughes, Alison & Silveira, Semida & DeCarolis, Joe & Bazillian, Morgan & Roehrl, Alexander, 2011. "OSeMOSYS: The Open Source Energy Modeling System: An introduction to its ethos, structure and development," Energy Policy, Elsevier, vol. 39(10), pages 5850-5870, October.
    9. Pye, Steve & Daly, Hannah, 2015. "Modelling sustainable urban travel in a whole systems energy model," Applied Energy, Elsevier, vol. 159(C), pages 97-107.
    10. Turton, Hal, 2008. "ECLIPSE: An integrated energy-economy model for climate policy and scenario analysis," Energy, Elsevier, vol. 33(12), pages 1754-1769.
    11. Messner, Sabine & Schrattenholzer, Leo, 2000. "MESSAGE–MACRO: linking an energy supply model with a macroeconomic module and solving it iteratively," Energy, Elsevier, vol. 25(3), pages 267-282.
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