The costs of the French nuclear scale-up: A case of negative learning by doing

The paper reviews the history and the economics of the French PWR program, which is arguably the most successful nuclear-scale up experience in an industrialized country. Key to this success was a unique institutional framework that allowed for centralized decision making, a high degree of standardization, and regulatory stability, epitomized by comparatively short reactor construction times. Drawing on largely unknown public records, the paper reveals for the first time both absolute as well as yearly and specific reactor costs and their evolution over time. Its most significant finding is that even this most successful nuclear scale-up was characterized by a substantial escalation of real-term construction costs. Conversely, operating costs have remained remarkably flat, despite lowered load factors resulting from the need for load modulation in a system where base-load nuclear power plants supply three quarters of electricity. The French nuclear case illustrates the perils of the assumption of robust learning effects resulting in lowered costs over time in the scale-up of large-scale, complex new energy supply technologies. The uncertainties in anticipated learning effects of new technologies might be much larger that often assumed, including also cases of "negative learning" in which specific costs increase rather than decrease with accumulated experience.

[1]  Olivier Godard LES SCÉNARIOS ÉNERGÉTIQUES DE LA FRANCE 2010-2020, Annexes du Rapport présidé par Pierre Boisson au Commissariat général au plan : Les chemins d'une croissance sobre, 1998. , 1998 .

[2]  Gerhard Rosegger,et al.  Diffusion Through Interfirm Cooperation: A Case Study , 1991 .

[3]  L. Argote,et al.  Learning Curves in Manufacturing , 1990, Science.

[4]  A. Jaffe,et al.  Technological Change and the Environment , 2000 .

[5]  Steve Thomas,et al.  The Realities of Nuclear Power: International Economic and Regulatory Experience , 1989 .

[6]  D. Finon,et al.  INSTITUTIONAL AND TECHNOLOGICAL CO-EVOLUTION IN THE FRENCH ELECTRONUCLEAR INDUSTRY , 2001 .

[7]  Andrii Gritsevskyi,et al.  Modeling uncertainty of induced technological change , 2000 .

[8]  Gordon MacKerron,et al.  Nuclear costs: Why do they keep rising? , 1992 .

[9]  Nathan E. Hultman,et al.  A reactor-level analysis of busbar costs for US nuclear plants, 1970-2005 , 2007 .

[10]  Mark J. McCabe Principals, Agents, and the Learning Curve: The Case of Steam-Electric Power Plant Design and Construction , 1996 .

[11]  S. Isoard,et al.  Endogenous learning in world post-Kyoto scenarios: application of the POLES model under adaptive expectations , 2000 .

[12]  Mycle Schneider Fast Breeder Reactors in France , 2009 .

[13]  Patrick Criqui,et al.  Energie 2010-2020 , 1998 .

[14]  Irvin C. Bupp,et al.  Light water : how the nuclear dream dissolved , 1979 .

[15]  Nebojsa Nakicenovic,et al.  Diffusion of Technologies and Social Behavior , 1991 .

[16]  Daniel Rich,et al.  The politics of energy research and development , 1986 .

[17]  Christian Bataille,et al.  La durée de vie des centrales nucléaires et les nouveaux types de réacteurs , 2003 .

[18]  James M. Jasper,et al.  Gods, Titans and mortals : Patterns of state involvement in nuclear development , 1992 .

[19]  Z. Lovasic,et al.  International Atomic Energy Agency (IAEA) Activity on Technical Influence of High Burnup UOX and MOX Water Reactor Fuel on Spent Fuel Management - 9065 , 2009 .

[20]  Steven Mark Cohn,et al.  Too Cheap to Meter: An Economic and Philosophical Analysis of the Nuclear Dream , 1997 .