An Efficient Cascaded Effect Based Parallel Flow Heat Exchanger Using Nonlinear Model Predictive Controller Based Fuzzy Optimization Technique

In numerous industrial plants, controlling incorporated unit procedure is a difficult operation as a reason of the nonlinearity and intricacy linked with the dynamic designs. Moreover, sParallel flow HENs function as an essential and vital element in the energy recovery field and, with no efficient control stratagem, the utility demand reduction can't be attained in practice. As a consequence of the nonlinear behavior, intricacy, existence of disturbances, and noise, which causes incremented production costs, a Parallel flow heat exchanger's control is regarded as an intricate operation. There exists a necessity aimed at an optimum control stratagem for an HX, which can resolve all these problems. This paper has established an effective cascaded effect-based parallel-flow HX employing the NMPC-FO methodology. The NMPC-FO control stratagem developed evades the excessive energy utilization and raw materials, which results in lesser production costs. It boosts the energy efficacy and ensures the final product's quality via formulating the nonlinear transient designs. For enhancing the HEN's efficacy, this paper administers the HT system's diverse geometrical as well as operational parameters. Overall, the experimental result showed that the proposed work withstands better efficiency, reduced fouling rate, and low cost as compared with the existing state of art methods.