An approach for multi-objective optimization based on preliminary PSA and its applications for fusion reactors

Abstract

The fusion reactors, which adopt Deuterium-Tritium (D-T) nuclear reaction to produce energy, are promising in the future. The nuclear safety of fusion reactors is an important research topic on the road of fusion reactor engineering. The Probabilistic Safety Assessment (PSA) is one of the important tools to evaluate the safety concerns of fusion reactors, and the importance obtained from the PSA of fusion reactors can provide references for the items safety classification and reliability allocation. Reasonable safety classification and reliability allocation are of great significance for improving the safety and economy of fusion reactors. The PSA, items safety classification and reliability allocation for fusion reactors influence each other, form a whole, and can be considered as a multi-objective optimization problem. In this contribution, preliminary PSA and its applications for fusion reactors, which include the preliminary PSA, items safety classification and reliability allocation based on PSA for fusion reactors, were performed. Then, the multi-objective optimization among the preliminary PSA and its applications for fusion reactors were preliminarily discussed. The results show that the proposed systematic approach can provide important references for the optimization and improvement of the safety and economy for fusion reactors.