Application of meta-heuristic algorithms in Bushehr nuclear power plant optimization with exergy analysis approach to couple a desalination plant

This research has been carried out with the aim of thermodynamic optimization of Bushehr nuclear power plant with the approach of exergy analysis for the connection of desalination plant and the production of freshwater at the lowest possible cost. After exergy analysis and determination of destruction, gray wolf optimizer and particle swarm algorithms have been used to optimize the system. The performance of these algorithms in solving the Rastrigin function has been evaluated and the main problem has been solved with the superior algorithm to find the optimal temperatures and pressures. Then, a multi-stage distillation desalination unit with a Thermo vapor compressor with a capacity of 24,000 cubic meters per day has been connected to one of the outlet flows of the low-pressure turbine. The results showed that the highest rate of irreversibility and loss with 1510.50 MW belongs first to the reactor and then to 144.50 MW to the steam generator. The cost of producing fresh water in optimal conditions of the power plant is estimated at $ 1.18 per cubic meter.