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Nuclear Power, Economics of

2012
Financial viability is an important consideration when deciding whether to proceed with any large-scale engineering project. Many studies of nuclear power economics have been undertaken in an attempt to predict its overall costs or competitiveness (e.g., [1–4]).
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Nuclear physics and nuclear power

Atomic Energy, 1999
For the example of the Radium Institute, which recently celebrated its 75th anniversary and has been a part of the Academy of Sciences for around 40 years, it is shown how nuclear physics, as the theoretical basis of the nuclear power industry, facilitates its development and the transition to internally safe and environmentally sound nuclear ...
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Differences in carbon emissions reduction between countries pursuing renewable electricity versus nuclear power

Nature Energy, 2020
Benjamin Sovacool   +4 more
semanticscholar   +1 more source

Nuclear Power: Germany set to abandon nuclear power

Physics World, 1999
Nuclear power in Germany is to be phased out over the next five to ten years, the German government announced last month. Despite heavy lobbying from the nuclear-power industry, the ruling coalition of the Social Democrats and the Greens will honour what was one of the Greens' main manifesto commitments.
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Radionuclides from the Fukushima Daiichi Nuclear Power Plant in terrestrial systems

Nature Reviews Earth & Environment, 2020
Y. Onda   +7 more
semanticscholar   +1 more source

NUCLEAR POWER PLANTS

Nuclear Reactor Physics and Engineering, 2020
Soon Heung Chang
semanticscholar   +1 more source

Nuclear power

2017
The first applications envisioned for supercritical CO2 (sCO2) power cycles were nuclear power plants (NPPs). Nuclear reactors as heat sources deliver heat over a limited temperature range at high temperature. As a result, an advanced nuclear reactor such as a sodium-cooled fast reactor (SFR) and an sCO2 power cycle can be well matched to provide a ...
J.J. Sienicki, A. Moisseytsev
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Nuclear Power

2022
Robert Ehrlich   +2 more
openaire   +1 more source

Fault prediction method for nuclear power machinery based on Bayesian PPCA recurrent neural network model

Nuclear Science and Techniques, 2020
Jun Ling   +4 more
semanticscholar   +1 more source

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