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Deploying nuclear power: Financing, risk, and execution in the current market environment
Nielson
The renewed global interest in nuclear power is often framed as a policy story driven by decarbonization goals, energy security concerns, and surging electricity demand from digital infrastructure and electrification. While these forces are real and durable, they materially understate the challenge at hand. The practical constraint on nuclear deployment today is not strategic will, but execution. Specifically, the challenge lies in how nuclear projects are financed, how risk is allocated, and how investors assess credibility in a sector defined by long timelines and asymmetric downside risk.
Brian C. Kiedrowski, Forrest B. Brown, Paul P. H. Wilson
Nuclear Science and Engineering | Volume 168 | Number 3 | July 2011 | Pages 226-241
Technical Paper | doi.org/10.13182/NSE10-22
Articles are hosted by Taylor and Francis Online.
A Monte Carlo method is developed that performs adjoint-weighted tallies in continuous-energy k-eigenvalue calculations. Each contribution to a tally score is weighted by an estimate of the relative magnitude of the fundamental adjoint mode, by way of the iterated fission probability, at the phase-space location of the contribution. The method is designed around the power iteration method such that no additional random walks are necessary, resulting in a minimal increase in computational time. The method is implemented in the Monte Carlo N-Particle (MCNP) code. These adjoint-weighted tallies are used to calculate adjoint-weighted fluxes, point reactor kinetics parameters, and reactivity changes from first-order perturbation theory. The results are benchmarked against discrete ordinates calculations, experimental measurements, and direct Monte Carlo calculations.