Learning Curves for Hydrogen Production Technology: an assessment of observed cost reductions

  • Koen Schoots, Energy research Center of the Netherlands, Policy Studies Department, Amsterdam, The Netherlands, The Netherlands
  • Francesco Ferioli, Energy research Center of the Netherlands, Policy Studies Department, Amsterdam, The Netherlands, The Netherlands
  • Gert Jan Kramer, Eindhoven University of Technology, Department of Chemical Engineering and Chemistry, Eindhoven, The Netherlands, The Netherlands
  • Bob CC Zwaan, Energy research Center of the Netherlands, Policy Studies Department, Amsterdam, The Netherlands, The Netherlands
  • At present three key energy carriers have the potential to allow a transition towards a sustainable energy system: electricity, biofuel and hydrogen. Here we focus on the latter and develop learning curves using cost data observed during the period 1940-2007 for two essential constituents of what could become a ‘hydrogen economy’: the construction of hydrogen production facilities and the production process of hydrogen with these facilities. Three hydrogen production methods are examined, in decreasing order of importance with regards to their market share: steam methane reforming, coal gasification and electrolysis of water. The fact that we have to include data in our analysis that go far back in time and the uncertainties that especially the older data are characterized by, render the development of reliable learning curves challenging. We find only limited learning at best in a couple of cases, and no cost reductions can be detected for the overall hydrogen production process. Of the six activities investigated, statistically meaningful learning curves can only be determined for the investment costs required for constructing steam methane reforming facilities, with a learning rate of 11 ± 6%, and water electrolysis equipment, with a learning rate of 18 ± 13%. For past coal gasification facility construction costs no learning rate can be discerned. The learning rates calculated for steam methane reforming and water electrolysis equipment construction costs have large error margins, but lay well in the range of the learning reported in the literature for other technologies in the energy sector.