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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.
Swetha Veeraraghavan, Chandrakanth Bolisetti, Andrew Slaughter, Justin Coleman, Somayajulu Dhulipala, William Hoffman, Kyungtae Kim, Efe Kurt, Robert Spears, Lynn Munday
Nuclear Technology | Volume 207 | Number 7 | July 2021 | Pages 1073-1095
Technical Paper | doi.org/10.1080/00295450.2020.1807282
Articles are hosted by Taylor and Francis Online.
Seismic analysis and risk assessment of safety-critical infrastructure like hospitals, nuclear power plants, dams, and facilities handling radioactive materials involve computationally intensive numerical models and coupled multiphysics scenarios. They are also performed in a strict regulatory environment that requires high software quality assurance standards, and in the case of safety-related nuclear facilities, a conformance to the American Society of Mechanical Engineers Nuclear Quality Assurance (NQA-1) standard. This paper introduces the open-source finite-element software, MASTODON (Multi-hazard Analysis of Stochastic Time-Domain Phenomena), which implements state-of-the-art seismic analysis and risk assessment tools in a quality-controlled environment. MASTODON is built on MOOSE (Multi-physics Object-Oriented Simulation Environment), which is a highly parallelizable, NQA-1 conforming, coupled multiphysics, finite-element framework developed at Idaho National Laboratory. MASTODON is capable of fault rupture and source-to-site wave propagation using the domain reduction method, nonlinear site response, and soil-structure interaction analysis, implicit and explicit time integration, automated stochastic simulations, and seismic probabilistic risk assessment. When coupled with other MOOSE applications, MASTODON can also solve strongly and weakly coupled multiphysics problems. This paper presents a summary of the capabilities of MASTODON and some demonstrative examples.