A multistage exergy evaluation-cooperated liquid level optimization approach for multi-equipment evaporation process

Abstract

The liquid level for the evaporator is a significant parameter related to production safety and evaporation efficiency in the evaporation process. However, the process nonlinearity and time-delay increase the difficulty of operating control. Hence, a multistage exergy evaluation-cooperated liquid level optimization approach for multi-equipment evaporation process is proposed in this paper. An exergy evaluation-paralleled system based on exergy analysis is constructed. In addition, interdependent knowledge between liquid level and key process parameters is mined. Moreover, a multistage liquid level optimization model is established with the goal of minimizing energy consumption and constrained by stable production operation and qualified product quality. Meanwhile, a concentration forecasting strategy with ensemble learning based on gradient boosting decision tree is introduced into the optimization model while considering the asynchronous sampling frequency. Through application verification and analysis, the proposed liquid level optimization model provides feasible operational guidance for actual production, achieving high-quality, efficient, and green production.