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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.
J. M. Martínez-Val, M. Piera, Y. Ronen
Nuclear Science and Engineering | Volume 105 | Number 4 | August 1990 | Pages 349-370
Technical Paper | doi.org/10.13182/NSE90-A21470
Articles are hosted by Taylor and Francis Online.
The discretized diffusion equation is structured in a formalism embodying in the left side all the terms involving the group fluxes at the generic point under calculation, and in the right side containing all the terms involving the fluxes at neighbor points. This formalism is especially suited for vectorial computation and also presents very good computing performance in scalar computers. The computing methodology includes an acceleration technique, “coarse-mesh precalculation,” to minimize computing times, particularly for cases with very large numbers of points. The algorithm is stable and positive, and it is improved by a discretization of the Laplacian operator using five points in each coordinate.