Optimization of Power-Cycle Arrangements for Supercritical Water Cooled Reactors (SCWRS)

Abstract

An innovative optimization technique based on the use of “genetic algorithms” is used to analyze thermodynamic power cycles proposed for running future Supercritical Water Cooled Reactors. The front of Pareto generated by the proposed methodology shows that it is still possible to increase both the thermal efficiency and the mechanical power of proposed systems. In some cases, Pareto’s landscapes show particular behaviors suggesting that the optimization can be achieved by modifying a limited number of decision variables. However, work is still required to implement simulations that are more realistic, i.e., including actual turbine design and operation conditions.