Optimization of Different Chemical Processes Using Response Surface Methodology- A Review

Abstract

Several chemical and biological processes have been investigated and predicted using Response Surface Methodology (RSM) models. Response Surfaces Methodology is a useful instrument for designing laboratory-scale experiments that optimize and support the research outcomes with statistical analysis. It is a powerful statistical technique for complex variable study systems. The standard optimization (one component at a time) strategy is well-studied. However, it has significant drawbacks, such as requiring more experimental runs and time and failing to reveal the synergistic impact of processing parameters. It is a valuable instrument for process improvement. Recent research has shown, for instance, that RSM successfully optimizes biodiesel in fats and oils generated from diverse feedstocks. According to this study, Response Surface Methodology is the best cost-effective technique for maximizing environmentally friendly and sustainable methods applied to different experimental procedures. The current review reported RSM's application, theory, methodology, advantages, and limitations for different processes using different oil sources.

Environmental Significance of Fouling on the Crude Oil Flow. A Comprehensive Review

“…1 Technologies that just evaluate heat integration, underestimate the cumulative performance loss caused by fouling [19]. Despite fouling costing over $1 billion in the US alone at a time when oil seems to be much affordable [20], recent trends are commonly used to make accurate predictions regarding fouling in refineries [21][22][23][24][25][26][27][28]. Researchers have recently investigated the fouling in a shell-and-tube heat exchanger [29][30][31][32].…”

Environmental impact of fouling for crude oil flow in preheat pipes according to oil blends

“…A common barrier to effective fouling avoidance is a lack of understanding of the processes at play and pollution's transitory, ever-changing effects on heat exchanger efficiency. More significant pressure loss, increased under-deposit rust, diminished heat transfer, and flow are just some of the practical severe issues that can arise from fouling in tubes, flow passageways, and other areas of processing equipment [ [18] , [19] , [20] ]. Additionally, these editing efforts briefly discuss the environmental effects of heat exchanger pollution, inevitably, the accumulated effect of fouling on a heat exchanger will inevitably vary depending on the intensity of the contamination and the operating circumstances.…”

Sustainable Isopropyl Alcohol Recovery via Data-Driven, Active-Learning Optimization of Vacuum Membrane Distillation

“…20 Traditionally, optimization has been conducted through labor-intensive methods like factorial design or response surface methodology, requiring a substantial number of experimental runs. 21 These approaches are not only costly but are often insufficient for capturing the complexities of the process dynamics.…”

“…Operating parameters, such as temperature gradient, pressure gradient, solution flow rate, and concentrations of organic solvents, directly impact the efficiency and carbon footprint of the separation process . Traditionally, optimization has been conducted through labor-intensive methods like factorial design or response surface methodology, requiring a substantial number of experimental runs . These approaches are not only costly but are often insufficient for capturing the complexities of the process dynamics.…”