Abstract
The distribution of fuel and control poison in a nuclear reactor was optimized by the method of Dynamic Programming. A 620 M We Pressurized Water Reactor similar to Angra-1 was studied. The reactor operation was simulated in a IBM-1130 computer. Two fuel shuffling schemes and three poison management schemes were simultaneously employed in the reactor divided into three regions of equal volume and two consecutive stages were studied in order to determine the influence of poison management on the optimum fuel management policy. When uniform poisoning on all the three regions was permitted the traditional out-in fuel management policy proved to be more economic. On introducing simultaneous poison management, the optimum fuel management sequence was found to be different. The results obtained indicate a stronger interaction between the fuel management and the poison management than anticipated in previous works. (author).
Citation Formats
Lima, C A.R. de.
Optimization of fuel management and control poison of a nuclear power reactor by dynamic programming; Otimizacao do remanejamento de combustivel e do venevo de controle de um reator nuclear por programacao dinamica.
Brazil: N. p.,
1977.
Web.
Lima, C A.R. de.
Optimization of fuel management and control poison of a nuclear power reactor by dynamic programming; Otimizacao do remanejamento de combustivel e do venevo de controle de um reator nuclear por programacao dinamica.
Brazil.
Lima, C A.R. de.
1977.
"Optimization of fuel management and control poison of a nuclear power reactor by dynamic programming; Otimizacao do remanejamento de combustivel e do venevo de controle de um reator nuclear por programacao dinamica."
Brazil.
@misc{etde_10108551,
title = {Optimization of fuel management and control poison of a nuclear power reactor by dynamic programming; Otimizacao do remanejamento de combustivel e do venevo de controle de um reator nuclear por programacao dinamica}
author = {Lima, C A.R. de}
abstractNote = {The distribution of fuel and control poison in a nuclear reactor was optimized by the method of Dynamic Programming. A 620 M We Pressurized Water Reactor similar to Angra-1 was studied. The reactor operation was simulated in a IBM-1130 computer. Two fuel shuffling schemes and three poison management schemes were simultaneously employed in the reactor divided into three regions of equal volume and two consecutive stages were studied in order to determine the influence of poison management on the optimum fuel management policy. When uniform poisoning on all the three regions was permitted the traditional out-in fuel management policy proved to be more economic. On introducing simultaneous poison management, the optimum fuel management sequence was found to be different. The results obtained indicate a stronger interaction between the fuel management and the poison management than anticipated in previous works. (author).}
place = {Brazil}
year = {1977}
month = {Dec}
}
title = {Optimization of fuel management and control poison of a nuclear power reactor by dynamic programming; Otimizacao do remanejamento de combustivel e do venevo de controle de um reator nuclear por programacao dinamica}
author = {Lima, C A.R. de}
abstractNote = {The distribution of fuel and control poison in a nuclear reactor was optimized by the method of Dynamic Programming. A 620 M We Pressurized Water Reactor similar to Angra-1 was studied. The reactor operation was simulated in a IBM-1130 computer. Two fuel shuffling schemes and three poison management schemes were simultaneously employed in the reactor divided into three regions of equal volume and two consecutive stages were studied in order to determine the influence of poison management on the optimum fuel management policy. When uniform poisoning on all the three regions was permitted the traditional out-in fuel management policy proved to be more economic. On introducing simultaneous poison management, the optimum fuel management sequence was found to be different. The results obtained indicate a stronger interaction between the fuel management and the poison management than anticipated in previous works. (author).}
place = {Brazil}
year = {1977}
month = {Dec}
}