Benchmarking of economic evaluation models for an advanced loop-type sodium cooled fast reactor

Mukaida, Kyoko; Katoh, Atsushi; Shiotani, Hiroki; Hayafune, Hiroki; Ono, Kiyoshi

doi:10.1016/j.nucengdes.2017.08.011

Cited by 3 publications

(2 citation statements)

References 5 publications

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“…Some papers attempt to compare the economic characteristics of fast-neutron reactors with other types of generation. They determine the impact of electrical load and of the discount rate on economic performance [17], the influence of flow amount and type of coolant, of neutron density and temperature of shells [18]. Genetic algorithms are used to optimize the parameters of the reactor core [19].…”

Section: Methodsmentioning

confidence: 99%

Using multi-criteria analysis to select an energy source

2020

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Multi-criteria analysis is widely used to solve various technical and economic problems. There are a large number of applications of multi-criteria analysis. Methods for evaluating the total set of criteria have been investigated. However, the selection of criteria for various specific tasks remains the prerogative of specialists in the relevant branches. The goal of this study was to implement a multi-criteria analysis for assessing the potential of renewable energy sources' competitiveness. Renewable energy sources also include a closed nuclear fuel cycle based on fast-neutron reactors. The advantage of such cycle is the reproduction of nuclear fuel in the same or even greater quantity than it was used. At the same time, uranium isotopes are involved in the cycle, which are waste in conventional nuclear generation. The disadvantage of a nuclear fuel cycle is an output of hazardous waste and a complex technology for its processing. This task is a strategic one, and economic reason is not sufficient in this case. A structure of criteria for strategic decision making was compiled, and eight groups of main criteria were created. An expert analysis of the criteria was carried out and their relative significance was determined. Results. The significance of economic, environmental, technological and safety criteria is revealed. The formulae for criteria normalizing to apply the integration were proposed. Preliminary multi-criteria analysis has shown that a closed nuclear fuel cycle can compete with renewable energy sources such as wind and solar power plants.

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Section: Methodsmentioning

confidence: 99%

Using multi-criteria analysis to select an energy source

2020

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“…Nowadays, the utilities have the ownership of the major risks [3] as they are thought to be the best stakeholders to manage them [4,5]. Consequently, utilities need to adopt adequate investment appraisal methods to select the type of power plant to build [6]. In the literature, there are two main approaches to deal with investment appraisals, as follows:…”

Section: Introductionmentioning

confidence: 99%

A simple-to-implement real options method for the energy sector

Locatelli

Mancini

Lotti

2020

Energy

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Investment appraisal methods based on real options are gaining popularity in academia, while the adoption by practitioners is still infrequent. Having in mind practitioners, the method is designed to be: conceptually easy to understand, based on realistic hypotheses and data available, able to provide quantitative indications and strategic guidelines. The method is based on a systematic simulation of several scenarios generated according to exercise thresholds of relevant investment parameters. An exercise threshold gives to the investors the exercise right of taking some decision, for instance building a power plant. An exercise threshold is therefore a rule to decide whether to exercise or not a certain option on the basis of the values of one or more state variables. Consequently, the probability distribution of the Net Present Value (or analogous indicator) of the investment is a function of the state variables and the exercise threshold. Systematically changing the exercise thresholds allow to (A) establishing the "real option value" and (B) calculate relevant indications about when and on which type of plant to invest. The method is presented in detail and applied to a case study assessing the investment appraisal of: coal plant, gas plant, large nuclear reactor and small modular reactor.

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A Monte Carlo study on burnup treatment in sodium-cooled reactor with Th fuel

Korkmaz

Arslan

2021

Kerntechnik

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Sodium Cooled Reactors is one of the Generation-IV plants selected to manage the long-lived minor actinides and to transmute the long-life radioactive elements. This study presents the comparison between two-designed SFR cores with 600 and 800 MWth total heating power. We have analyzed a conceptual core design and nuclear characteristic of SFR. Monte Carlo depletion calculations have been performed to investigate essential characteristics of the SFR core. The core calculations were performed by using the Serpent Monte Carlo code for determining the burnup behavior of the SFR, the power distribution and the effective multiplication factor. The neutronic and burn-up calculations were done by means of Serpent-2 Code with the ENDF-7 cross-sections library. Sodium Cooled Fast Reactor core was taken as the reference core for Th-232 burnup calculations. The results showed that SFR is an important option to deplete the minor actinides as well as for transmutation from Th-232 to U-233.

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Benchmarking of economic evaluation models for an advanced loop-type sodium cooled fast reactor

Cited by 3 publications

References 5 publications

Using multi-criteria analysis to select an energy source

Using multi-criteria analysis to select an energy source

A simple-to-implement real options method for the energy sector

A Monte Carlo study on burnup treatment in sodium-cooled reactor with Th fuel

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