摘要：Membrane fouling can affect the performance of the membrane-based filtration for water treatment. Fouling thus increases operational costs. This work presents a modeling framework that combine first principle model with Gaussian process model that aims to reduce the energy load affected by the effect of fouling on the system. Based on the expected improvement algorithm, an optimization control is proposed to handle the long duration of the operation to achieve the most economical operation in term of energy load.
关键词：model based controliterative improvementoptimizationuncertaintyvariance
