A robust optimization model for the radioactive waste transmutation in ADS

Research outputpeer-review

Abstract

The present paper deals with an optimization approach for long-lived transuranic isotopes transmutation carrying out in Accelerator Driven System (ADS). The proposed methods consider the distributions of actinides nuclear concentration in the charged fuel as optimization arguments. The time-evolution of isotopes nuclear concentration fits in a system of ordinary differential equations (ODE), that is considered as dynamical constraints. A gradient-based optimization algorithm is constructed for this system so that the overall reactivity is minimized. Moreover, constraints on robustness and value of effective multiplication factor are incorporated during numerical optimization. Initial nuclear concentration values giving the best results for transuranic isotopes burn-up are computed based on this approach. The paper includes calculation results of actinides nuclear concentration and percentage ratio change, as well as effective multiplication factor and accelerator current dynamics for such initial fuel charge.

Original languageEnglish
Title of host publication6th International Conference on Control, Decision and Information Technologies (CoDIT)
Place of PublicationParis
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages703-708
Number of pages6
ISBN (Electronic)978-1-7281-0521-5
ISBN (Print)978-1-7281-0520-8
DOIs
Publication statusPublished - 2 Sep 2019
Event6th International Conference on Control, Decision and Information Technologies, CoDIT 2019 - Paris
Duration: 23 Apr 201926 Apr 2019

Conference

Conference6th International Conference on Control, Decision and Information Technologies, CoDIT 2019
CountryFrance
CityParis
Period23/04/1926/04/19

Fingerprint

Robust Optimization
Accelerator
Radioactive wastes
Optimization Model
Particle accelerators
Isotopes
Actinides
Multiplication
Optimization
Numerical Optimization
Reactivity
System of Ordinary Differential Equations
Ordinary differential equations
Percentage
Optimization Algorithm
Charge
Gradient
Robustness
Robust optimization
Optimization model

Scopus subject areas

  • Information Systems
  • Information Systems and Management
  • Control and Optimization
  • Decision Sciences (miscellaneous)

Cite this

Golovkina, A., Olaru, S., & Ovsyannikov, D. (2019). A robust optimization model for the radioactive waste transmutation in ADS. In 6th International Conference on Control, Decision and Information Technologies (CoDIT) (pp. 703-708). [8820561] Paris: Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CoDIT.2019.8820561, https://doi.org/10.1109/CoDIT.2019.8820561
Golovkina, Anna ; Olaru, Sorin ; Ovsyannikov, Dmitri . / A robust optimization model for the radioactive waste transmutation in ADS. 6th International Conference on Control, Decision and Information Technologies (CoDIT). Paris : Institute of Electrical and Electronics Engineers Inc., 2019. pp. 703-708
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Golovkina, A, Olaru, S & Ovsyannikov, D 2019, A robust optimization model for the radioactive waste transmutation in ADS. in 6th International Conference on Control, Decision and Information Technologies (CoDIT)., 8820561, Institute of Electrical and Electronics Engineers Inc., Paris, pp. 703-708, Paris, 23/04/19. https://doi.org/10.1109/CoDIT.2019.8820561, https://doi.org/10.1109/CoDIT.2019.8820561

A robust optimization model for the radioactive waste transmutation in ADS. / Golovkina, Anna; Olaru, Sorin; Ovsyannikov, Dmitri .

6th International Conference on Control, Decision and Information Technologies (CoDIT). Paris : Institute of Electrical and Electronics Engineers Inc., 2019. p. 703-708 8820561.

Research outputpeer-review

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AB - The present paper deals with an optimization approach for long-lived transuranic isotopes transmutation carrying out in Accelerator Driven System (ADS). The proposed methods consider the distributions of actinides nuclear concentration in the charged fuel as optimization arguments. The time-evolution of isotopes nuclear concentration fits in a system of ordinary differential equations (ODE), that is considered as dynamical constraints. A gradient-based optimization algorithm is constructed for this system so that the overall reactivity is minimized. Moreover, constraints on robustness and value of effective multiplication factor are incorporated during numerical optimization. Initial nuclear concentration values giving the best results for transuranic isotopes burn-up are computed based on this approach. The paper includes calculation results of actinides nuclear concentration and percentage ratio change, as well as effective multiplication factor and accelerator current dynamics for such initial fuel charge.

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Golovkina A, Olaru S, Ovsyannikov D. A robust optimization model for the radioactive waste transmutation in ADS. In 6th International Conference on Control, Decision and Information Technologies (CoDIT). Paris: Institute of Electrical and Electronics Engineers Inc. 2019. p. 703-708. 8820561 https://doi.org/10.1109/CoDIT.2019.8820561, https://doi.org/10.1109/CoDIT.2019.8820561