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A System Dynamics Study of Uranium and the Nuclear Fuel Cycle


  • Rooney, Matthew
  • Nuttall, William J.
  • Kazantzis, Nikolas


To advance current knowledge of the uranium market, a system dynamics model of the nuclear fuel cycle for the time period 1988 to 2048 has been developed. The proposed framework of analysis illustrates some of the key features of the market for this commodity, including the role that time lags play in the formation of price volatility. Various demand reduction and substitution strategies and technologies are explored, and potential external shocks are simulated to investigate how price and the associated industry respond. Sensitivity analysis performed by considering key model parameters indicates that the time constant related to the formation of traders’ expectations of future market prices embedded in the proposed price discovery mechanism has a strong influence on both the amplitude and frequency of price peaks. One particularly interesting and timely scenario simulated is the possibility of the ending of the “Megatons to Megawatts” program, in which the USA agreed to buy down-blended uranium from former Soviet nuclear warheads for use in power production. This agreement has not been formally renewed and we find that in the absence of new substitute sources this could cause a significant rise in uranium prices. Finally, our analysis leads us to believe that uranium resource scarcity will not pose any significant challenges until the second half of the twenty first century at the earliest, even if high uranium demand projections are realized.

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  • Rooney, Matthew & Nuttall, William J. & Kazantzis, Nikolas, 2013. "A System Dynamics Study of Uranium and the Nuclear Fuel Cycle," Cambridge Working Papers in Economics 1319, Faculty of Economics, University of Cambridge.
  • Handle: RePEc:cam:camdae:1319

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    Cited by:

    1. Roman Mendelevitch & Thanh Thien Dang, 2016. "Nuclear Power and the Uranium Market: Are Reserves and Resources Sufficient?," DIW Roundup: Politik im Fokus 98, DIW Berlin, German Institute for Economic Research.

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    System dynamics; uranium mining; nuclear fuel cycle; uranium market dynamics; sensitivity analysis;

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