Atomi-MOD

The online calculation tool "Atomi-MOD" calculates the economic profitability of the (hypothetical) construction of new Generation III/III+ nuclear power plants.

economicprofitabilityconstructionnew Generation III/III+nuclear power
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contributed at 2019-10-18

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Application-focused categoriesHuman-perspectiveEconomic activities

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Quoted from: https://www.diw.de/de/diw_01.c.599753.de/modelle.html#ab_599749 

The online calculation tool "Atomi-MOD" calculates the economic profitability of the (hypothetical) construction of new Generation III/III+ nuclear power plants described in the DIW Berlin Weekly Report 30/2019 (Ben Wealer et al., “High-priced and dangerous: nuclear power is not an option for the climate-friendly energy mix,” DIW Weekly Report, no. 30 (2019): 512–520) and in more detail in the DIW Discussion Paper 1833 (Ben Wealer et al., “Economics of Nuclear Power Plant Investment – Monte Carlo Simulations of Generation III/III+ Investment Projects,” DIW Discussion Papers, no. 1833 (2019)). All the relevant informations for the result are provided in a simplified calculation Excel tool (called "Atomi-MOD"). In addition, an implementation of the model in the Matlab software is provided for further analyses, with which a large number of variants can be calculated, e.g. by Monte Carlo simulation. A private investment in a Generation III nuclear power plant, as currently under construction at various locations in Europe, will lead to considerable economic losses in the order of several billion €, the electricity production costs are far above the expected wholesale prices. The analysis confirms the consensus in the scientific literature and in energy industry practice that the construction of nuclear power plants is not economically viable even if environmental costs, decommissioning, and final disposal of nuclear waste are neglected.

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How to Cite

DIW Berlin (2019). Atomi-MOD, Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/73b8ef7e-9e50-47e9-9be0-31ee59764db8
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Initial contribute: 2019-10-18

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