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A Tool to Optimize the Initial Distribution of Hydrogen Filling Stations

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Author Info

  • Malte Schwoon

    ()
    (Statkraft, Duesseldorf)

Abstract

An important barrier towards the introduction of fuel cell vehicles (FCVs) running on hydrogen is the lack of widespread refueling infrastructure. The niche of buses for public transport, taxis and deliverers with a local application area might not be large enough to generate the reductions of FCV costs that are necessary for a general technology switch. Thus, fuel availability at trunk roads probably plays a crucial role in generating demand for FCVs also from private consumers. In this paper we assume that consumers are more likely to consider buying a FCV the more frequently they are exposed to hydrogen refueling opportunities on long distant trips. We introduce a tool to test different small scale initial distributions of hydrogen outlets within the German trunk road system for their potential success to generate a large scale adoption of FCVs. The tool makes use of agent based trip modeling and Geographic Information System (GIS) supported spatial modeling. We demonstrate its potentials by testing a ring shaped distribution of hydrogen outlets at highway filling stations. We find that the structure of an optimized initial distribution of filling stations depends on what drivers consider a sufficiently small distance between refueling opportunities.

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File URL: http://www.fnu.zmaw.de/fileadmin/fnu-files/publication/working-papers/WP-FNU-112FCV_learning_by_doing.pdf
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Bibliographic Info

Paper provided by Research unit Sustainability and Global Change, Hamburg University in its series Working Papers with number FNU-110.

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Length: 24 pages
Date of creation: Jun 2006
Date of revision: Jun 2006
Handle: RePEc:sgc:wpaper:110

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Keywords: Agent based modeling; Alternative fueled vehicles; Hydrogen; Fuel Cells;

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  1. Jørgen Hansen & Camilla Jensen & Erik Madsen, 2003. "The establishment of the danish windmill industry—Was it worthwhile?," Review of World Economics (Weltwirtschaftliches Archiv), Springer, vol. 139(2), pages 324-347, June.
  2. Malte Schwoon, 2006. "Simulating the adoption of fuel cell vehicles," Journal of Evolutionary Economics, Springer, vol. 16(4), pages 435-472, October.
  3. Manne, Alan & Richels, Richard, 2004. "The impact of learning-by-doing on the timing and costs of CO2 abatement," Energy Economics, Elsevier, vol. 26(4), pages 603-619, July.
  4. Sabine Messner, 1997. "Endogenized technological learning in an energy systems model," Journal of Evolutionary Economics, Springer, vol. 7(3), pages 291-313.
  5. April Mitchell Franco & Darren Filson, 2000. "Knowledge diffusion through employee mobility," Staff Report 272, Federal Reserve Bank of Minneapolis.
  6. Salvador Barrios & Eric Strobl, 2004. "Learning by Doing and Spillovers: Evidence from Firm-Level Panel Data," Review of Industrial Organization, Springer, vol. 25(2), pages 175-203, 06.
  7. Mark Rosenzweig & Andrew D. Foster, . "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Home Pages _068, University of Pennsylvania.
  8. Gritsevskyi, Andrii & Nakicenovi, Nebojsa, 2000. "Modeling uncertainty of induced technological change," Energy Policy, Elsevier, vol. 28(13), pages 907-921, November.
  9. Malte Schwoon, 2005. "Simulating the Adoption of Fuel Cell Vehicles," Working Papers FNU-59, Research unit Sustainability and Global Change, Hamburg University, revised Feb 2006.
  10. Irwin, Douglas A & Klenow, Peter J, 1994. "Learning-by-Doing Spillovers in the Semiconductor Industry," Journal of Political Economy, University of Chicago Press, vol. 102(6), pages 1200-1227, December.
  11. Ghemawat, Pankaj & Spence, A Michael, 1985. "Learning Curve Spillovers and Market Performance," The Quarterly Journal of Economics, MIT Press, vol. 100(5), pages 839-52, Supp..
  12. Mackay, R.M & Probert, S.D, 1998. "Likely market-penetrations of renewable-energy technologies," Applied Energy, Elsevier, vol. 59(1), pages 1-38, January.
  13. McDonald, Alan & Schrattenholzer, Leo, 2001. "Learning rates for energy technologies," Energy Policy, Elsevier, vol. 29(4), pages 255-261, March.
  14. Rebecca Achee Thornton & Peter Thompson, 2001. "Learning from Experience and Learning from Others: An Exploration of Learning and Spillovers in Wartime Shipbuilding," American Economic Review, American Economic Association, vol. 91(5), pages 1350-1368, December.
  15. Manne, Alan S. & Barreto, Leonardo, 2004. "Learn-by-doing and carbon dioxide abatement," Energy Economics, Elsevier, vol. 26(4), pages 621-633, July.
  16. Ogden, Joan M. & Williams, Robert H. & Larson, Eric D., 2004. "Societal lifecycle costs of cars with alternative fuels/engines," Energy Policy, Elsevier, vol. 32(1), pages 7-27, January.
  17. Marco Valente, 1998. "Laboratory for Simulation Development," DRUID Working Papers 98-5, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
  18. Kwasnicki, Witold & Kwasnicka, Halina, 1992. "Market, innovation, competition: An evolutionary model of industrial dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 19(3), pages 343-368, December.
  19. Madsen, Erik Strøjer & Jensen, Camilla & Hansen, Jørgen Drud, 2002. "Scale in Technology and Learning-by-Doing in the Windmill Industry," Working Papers 02-2, University of Aarhus, Aarhus School of Business, Department of Economics.
  20. A. M. Spence, 1981. "The Learning Curve and Competition," Bell Journal of Economics, The RAND Corporation, vol. 12(1), pages 49-70, Spring.
  21. Rasmussen, Tobias N., 2001. "CO2 abatement policy with learning-by-doing in renewable energy," Resource and Energy Economics, Elsevier, vol. 23(4), pages 297-325, October.
  22. Junginger, M. & Faaij, A. & Turkenburg, W. C., 2005. "Global experience curves for wind farms," Energy Policy, Elsevier, vol. 33(2), pages 133-150, January.
  23. Bunch, David S. & Bradley, Mark & Golob, Thomas F. & Kitamura, Ryuichi & Occhiuzzo, Gareth P., 1993. "Demand for clean-fuel vehicles in California: A discrete-choice stated preference pilot project," Transportation Research Part A: Policy and Practice, Elsevier, vol. 27(3), pages 237-253, May.
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Citations

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Cited by:
  1. Dietrich, Antje-Mareike & Sieg, Gernot, 2011. "Welfare effects of subsidizing a dead-end network of less polluting vehicles," Economics Department Working Paper Series 12, Technische Universität Braunschweig, Economics Department.
  2. Gary W. Yohe & Richard S.J. Tol, 2007. "Precaution And A Dismal Theorem: Implications For Climate Policy And Climate Research," Working Papers FNU-145, Research unit Sustainability and Global Change, Hamburg University, revised Aug 2007.
  3. Dritan Osmani, . "A note on optimal transfer schemes, stable coalition for environmental protection and joint maximization assumption," Working Papers FNU-176, Research unit Sustainability and Global Change, Hamburg University.

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