A Novel Exergy-Based Optimization Approach in Model Predictive Control for Energy-Saving Assessment

[摘要] Nowadays, in many industrial applications, energy management is recognized as an essential issue. Comprehensive understanding of exergetic perspectives can help save more resources. A unique exergy-based optimization approach in model predictive control (MPC) framework is introduced in this paper to scale back Total Destroyed Exergy (TDE) of the controlled process. The proposed MPC facilitates the capability to address both the process and energy constraints in a multiple-input multiple-output (MIMO) system. To this end, the new MPC cost function is presented to unravel an optimal control problem supported TDE reduction and acceptable control performance to improve energy conservation. The findings will be demonstrated through a case study of industrial alkylation of benzene process to assess the effectiveness of the proposed energy-saving approach, which meets control performance needs.

[学科分类] 自动化工程

[关键词] Exergy analysis;Optimization;Model predictive control;Energy saving;Energy efficiency;MIMO system