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