ADVANCING HYDROCARBON PRODUCTION EFFICIENCY VIA INCLINED SOLID-LIQUID SEPARATION AND SIMPLIFIED RECOVERY FROM B. BRAUNII

Abstract

Fluid pumping systems are integral components in various applications, ranging from domestic setups to industrial processes. Conventional pumping systems often necessitate direct human oversight, resulting in time consumption and susceptibility to errors. To mitigate these issues, this study delves into the integration of automatic control systems to eliminate human errors and enhance operational efficiency. Although existing literature offers a plethora of optimization approaches, concerns remain regarding computational simplicity, system adaptability, and cost-effectiveness.

This research addresses the aforementioned concerns by proposing a novel approach to fluid pumping system control, emphasizing user-defined time intervals and adjustable fluid levels. The system's adaptability to a diverse array of user-defined setups is a cornerstone of this study. Prior research efforts have explored automated control approaches for conventional domestic fluid pumping systems, but they often suffered from computational complexity, thereby impeding real-time performance.

The study introduces a refined MultiModel Predictive Control (MPC) method that not only overcomes computational intricacies but also addresses the economic viability of MPC implementation. By integrating the final governing Equation of the proposed hydrodynamic system, computational complexity is significantly reduced while maintaining efficient control. Moreover, the simplicity of the proposed fluid pumping system's setup contributes to its economic feasibility, as the associated costs are expected to align with acceptable economic margins.