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Resiliency Analysis

Implicit within any development decision or policy implementation are long term risk and uncertainty. The impacts of unknown future fuels costs, demand growth and resource availability create significant uncertainty on the cost and risks associated with any decision. In parallel with the scenario-based analyses, the 2060 Project performed detailed Monte Carlo and Stochastic uncertainty analysis to provide an indication of the probability spectrum of final costs, which in turn is able to provide an indication of the risks associated with the uncertainties surrounding long-term energy system transformations.