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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.
Jaakko Leppänen
Nuclear Science and Engineering | Volume 174 | Number 3 | July 2013 | Pages 318-325
Technical Paper | doi.org/10.13182/NSE12-54
Articles are hosted by Taylor and Francis Online.
This paper presents a methodology for applying continuously varying density distributions in Monte Carlo particle transport simulation. The capability is implemented in the Serpent 2 code, as part of an effort for developing a universal multiphysics interface for the coupling of Monte Carlo neutronics to thermal hydraulics and fuel performance codes. The method is based on rejection sampling of particle path lengths, but despite its close resemblance to the Woodcock delta-tracking method, the routine can be used with conventional surface tracking as well. The modified tracking routine is put to the test in a simple boiling water reactor pin-cell calculation with continuously changing void distribution in the coolant channel.