A Novel Exergy-Based Optimization Approach in Model Predictive Control for Energy-Saving Assessment
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A Novel Exergy-Based Optimization Approach in Model Predictive Control for Energy-Saving Assessment Karim Salahshoor1 · Mohammad. H. Asheri1 · Mohsen Hadian2 · Mehdi Doostinia3
· Masoud Babaei3
Received: 27 March 2020 / Revised: 15 July 2020 / Accepted: 26 August 2020 © Brazilian Society for Automatics--SBA 2020
Abstract 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. Keywords Exergy analysis · Optimization · Model predictive control · Energy saving · Energy efficiency · MIMO system
1 Introduction The energy utilization plays a vital role in many industrial applications, and considerable effort is made to make energy usage more recyclable, economical, effective, and clean. Thermodynamic rules govern energy utilization, and a decent understanding of exergetic perspectives can help recognize sustainable energy options (Marty et al. 2019). Exergy analysis has been introduced within the literature
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Mehdi Doostinia [email protected] Karim Salahshoor [email protected] Mohammad. H. Asheri [email protected] Mohsen Hadian [email protected] Masoud Babaei [email protected]
1
Department of Instrumentation and Industrial Automation, Petroleum University of Technology, Ahwaz, Iran
2
Department of Mechanical Engineering, University of Saskatchewan, Saskatoon, Canada
3
Department of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran
as a useful tool for an energy assessment. Luyao et al. (2017) have employed exergy analysis for the economic evaluation of the steam superheat utilization using regenerative turbine in ultra-supercritical power plants under design/off-design conditions. Gutiérrez and Vandecasteele (2011) presented an evaluation methodology by implementing two new exergy-based metrics for the calcination process thanks to decreased energy consumption. Ahmadi et al. (2012) researched thermodynamic modeling and exergy and environmental analyses alongside the optimization of polygeneration energy supplies for electricity, cooling, heating, and hot water. A replacement model for predicting the particular chemical exergy of municipal solid waste (MSW) has been established in Eboh et al. (2016), where the model was based on t
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