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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 output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

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, 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019, Paris, France, 23/04/19. https://doi.org/10.1109/CoDIT.2019.8820561, https://doi.org/10.1109/CoDIT.2019.8820561

APA

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] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CoDIT.2019.8820561, https://doi.org/10.1109/CoDIT.2019.8820561

Vancouver

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

Author

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

BibTeX

@inproceedings{10c5a545648a4243b346afcffb9683ca,
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",
year = "2019",
month = sep,
day = "2",
doi = "10.1109/CoDIT.2019.8820561",
language = "English",
isbn = "978-1-7281-0520-8",
pages = "703--708",
booktitle = "6th International Conference on Control, Decision and Information Technologies (CoDIT)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
note = "6th International Conference on Control, Decision and Information Technologies, CoDIT 2019, CoDIT 2019 ; Conference date: 23-04-2019 Through 26-04-2019",

}

RIS

TY - GEN

T1 - A robust optimization model for the radioactive waste transmutation in ADS

AU - Golovkina, Anna

AU - Olaru, Sorin

AU - Ovsyannikov, Dmitri

PY - 2019/9/2

Y1 - 2019/9/2

N2 - 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.

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.

UR - http://www.scopus.com/inward/record.url?scp=85072844214&partnerID=8YFLogxK

UR - http://www.mendeley.com/research/robust-optimization-model-radioactive-waste-transmutation-ads

U2 - 10.1109/CoDIT.2019.8820561

DO - 10.1109/CoDIT.2019.8820561

M3 - Conference contribution

SN - 978-1-7281-0520-8

SP - 703

EP - 708

BT - 6th International Conference on Control, Decision and Information Technologies (CoDIT)

PB - Institute of Electrical and Electronics Engineers Inc.

CY - Paris

T2 - 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019

Y2 - 23 April 2019 through 26 April 2019

ER -

ID: 45770513