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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.
Christian Aussourd
Nuclear Science and Engineering | Volume 143 | Number 3 | March 2003 | Pages 281-290
Technical Paper | doi.org/10.13182/NSE03-A2336
Articles are hosted by Taylor and Francis Online.
Complementary methods may be used to solve the neutron transport problem. When only a small amount of information is needed, the most efficient method is obviously Monte Carlo. However, when perfect knowledge of the full phase-space is required, it is worth using a deterministic technique. Nevertheless, this memory and CPU time intensive approach may soon overwhelm even the most powerful computer. To deal with these issues, an adapted mesh refinement transport scheme was developed that solely retains active areas of a geometry. The computer code Styx, built on this efficient set of numerical methods, specially designed and tuned to run on such a tree-based topology, is presented. A test case subset, representative of the wide spectrum of multidimensional applications it covers, is then analyzed.