Deterministic Methods for Multi-Control Fuel Loading Optimization.

Deterministic;Fuel Loading Optimization;Multi-Control;PWR;Nuclear Engineering and Radiological Sciences;Engineering;Nuclear Engineering and Radiological Sciences

Abdul Rahman, Fariz B.Martin, William R. ;

University of Michigan

关键词: Deterministic;    Fuel Loading Optimization;    Multi-Control;    PWR;    Nuclear Engineering and Radiological Sciences;    Engineering;    Nuclear Engineering and Radiological Sciences;   

Others  :  https://deepblue.lib.umich.edu/bitstream/handle/2027.42/111495/fariz_1.pdf?sequence=1&isAllowed=y

瑞士|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 摘 要 】

We have developed a multi-control fuel loading optimization code for pressurized water reactors based on deterministic methods.The objective is to flatten the fuel burnup profile, which maximizes overall energy production.The optimal control problem is formulated using the method of Lagrange multipliers and the direct adjoining approach for treatment of the inequality power peaking constraint.The optimality conditions are derived for a multi-dimensional multi-group optimal control problem via calculus of variations.Due to the Hamiltonian having a linear control, our optimal control problem is solved using the gradient method to minimize the Hamiltonian and a Newton step formulation to obtain the optimal control.We are able to satisfy the power peaking constraint during depletion with the control at beginning of cycle (BOC) by building the proper burnup path forward in time and utilizing the adjoint burnup to propagate the information back to the BOC.Our test results show that we are able to achieve our objective and satisfy the power peaking constraint during depletion using either the fissile enrichment or burnable poison as the control. Our fuel loading designs show an increase of 7.8 equivalent full power days (EFPDs) in cycle length compared with 517.4 EFPDs for the AP600 first cycle.