A rapid-convergent particle swarm optimization approach for multiscale design of high-permeance seawater reverse osmosis systems.

ABSTRACT: Directly solving sophisticated partial differential equation constrained optimization problems is not only extremely time-consuming, but also very hard to find unique optimal solutions. Here, we propose stable and efficient surrogate models for seawater reverse osmosis desalination processes that enable thorough quantitative description of hydrodynamics and local transport characteristics in narrow flow channels. Without iteratively solving complex multi-physics simulation problem taking several hours, the proposed multi-scale design optimization framework significantly reduces the problem complexity by computing the surrogate models in seconds. Moreover, a fast-converging active subspace particle swarm optimization framework is proposed to address the optimal design problem. Compared to t

SUBMITTER: Chen K 

PROVIDER: S-EPMC11496709 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature