A Robust Optimization Model for the Radioactive Waste Transmutation in ADS

Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

Выдержка

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.
Язык оригиналаанглийский
Название основной публикации6th International Conference on Control, Decision and Information Technologies (CoDIT)
Место публикацииParis
ИздательInstitute of Electrical and Electronics Engineers Inc.
Страницы703-708
ISBN (электронное издание)978-1-7281-0521-5
ISBN (печатное издание)978-1-7281-0520-8
DOI
СостояниеОпубликовано - 2 сен 2019
Событие6th International Conference on Control, Decision and Information Technologies - Paris, Франция
Продолжительность: 23 апр 201926 апр 2019

Конференция

Конференция6th International Conference on Control, Decision and Information Technologies
Сокращенный заголовокCoDIT 2019
СтранаФранция
ГородParis
Период23/04/1926/04/19

Цитировать

Golovkina, A., Olaru, S., & Ovsyannikov, D. (2019). A Robust Optimization Model for the Radioactive Waste Transmutation in ADS. В 6th International Conference on Control, Decision and Information Technologies (CoDIT) (стр. 703-708). Paris: Institute of Electrical and Electronics Engineers Inc.. 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. стр. 703-708
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title = "A Robust Optimization Model for the Radioactive Waste Transmutation in ADS",
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.",
author = "Anna Golovkina and Sorin Olaru and Dmitri Ovsyannikov",
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Golovkina, A, Olaru, S & Ovsyannikov, D 2019, A Robust Optimization Model for the Radioactive Waste Transmutation in ADS. в 6th International Conference on Control, Decision and Information Technologies (CoDIT). Institute of Electrical and Electronics Engineers Inc., Paris, стр. 703-708, Paris, Франция, 23/04/19. 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. стр. 703-708.

Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

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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. В 6th International Conference on Control, Decision and Information Technologies (CoDIT). Paris: Institute of Electrical and Electronics Engineers Inc. 2019. стр. 703-708 https://doi.org/10.1109/CoDIT.2019.8820561