Plant-Wide Control of a Reactive Distillation Column on Biodiesel Production

Regalado-Méndez, Alejandro; Romero, Rubı́; Natividad, Reyna; Skogestad, Sigurd

doi:10.1007/978-3-319-33389-2_11

Cited by 3 publications

(5 citation statements)

References 12 publications

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“…Regarding the decoupling, the outputs 𝑦 1 and 𝑦 2 at time t can be defined by Equations ( 13) and (14). Initially 𝑢 1 and 𝑢 2 are calculated with Equations ( 11) and (12).…”

Section: 𝑦 ̅(𝑡 + 𝑗) = 𝐺 𝑗 δ𝑢 𝑚 (𝑡 + 𝑗 − 1)+𝑓 𝑗mentioning

confidence: 99%

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Experimental performances of nonlinear GPC and discrete–time PID in multivariate process: NARIMAX and ARX models in temperature control of reactive distillation column in synthesis of biodiesel from waste cooking oil

ÇAĞATAY¹,

KARACAN²

2022

Pamukkale J Eng Sci

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Generalized Predictive Control (GPC) is a popular Model PredictiveControl algorithm that has the advantage of effectively managing the multivariate process. In this study, experimental temperature control of the reactive distillation column process in calcium−oxide catalyzed biodiesel synthesis from waste cooking oil was investigated using nonlinear GPC based on NARIMAX model and discrete time PID control based on ARX model. Before the experiments, the effects of all parameters on temperature and biodiesel mole fraction were analyzed by HYSYS simulation. Afterwards, control studies were carried out with the help of WCO flow rate and reboiler heat duty manipulating variables and algorithms and codes developed in MATLAB. In the SISO experiments, significant convergent temperature responses were obtained in each region controlled by the relevant manipulating variable. Regarding MIMO experiments, all proposed methods except the non-decoupled nonlinear GPC were found to converge ultimately to their setpoints, but the best performance was achieved in decoupled nonlinear GPC with less severe interaction, smaller settling time, no oscillations and lower IAE and ISE. Genelleştirilmiş Öngörülü Kontrol (GPC), çok değişkenli prosesi etkili bir şekilde kontrol edebilme avantajına sahip popüler bir Model Öngörülü Kontrol algoritmasıdır. Bu çalışmada, atık yemeklik yağdan kalsiyum-oksit katalizörlü biyodizel sentezinde tepkimeli damıtma kolonu prosesinin, NARIMAX model tabanlı doğrusal olmayan GPC ve ARX model tabanlı kesikli-zaman PID kontrol ile deneysel sıcaklık denetimi incelenmiştir. Deneyler öncesinde, tüm parametrelerin sıcaklık ve biyodizel mol kesri üzerine etkileri HYSYS simülasyonu ile analiz edilmiştir. Müteakiben, WCO akış hızı ve kazan ısı yükü ayardeğişkenleri ve MATLAB'da geliştirilen algoritmalar ve kodlar yardımıyla denetim çalışmaları gerçekleştirilmiştir. SISO deneylerinde, ilgili ayar değişkeni ile kontrol edilen her bir bölgede önemli seviyede yakınsak sıcaklık cevapları elde edilmiştir. MIMO deneyler açısından ise, ayırımsız doğrusal olmayan GPC haricinde, önerilen tüm yöntemlerde en nihayetinde ayar noktalarına yakınsama olduğu tespit edilmiştir, ancak en iyi performans, daha az şiddetli etkileşime sahip, daha küçük yerleşme zamanlı, salınım göstermeyen ve daha düşük IAE ve ISE'ye sahip ayırımlı doğrusal olmayan GPC ile elde edilmiştir.

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“…Regarding the decoupling, the outputs 𝑦 1 and 𝑦 2 at time t can be defined by Equations ( 13) and (14). Initially 𝑢 1 and 𝑢 2 are calculated with Equations ( 11) and (12).…”

Section: 𝑦 ̅(𝑡 + 𝑗) = 𝐺 𝑗 δ𝑢 𝑚 (𝑡 + 𝑗 − 1)+𝑓 𝑗mentioning

confidence: 99%

“…Liu et al [13] proposed a nonlinear MPC based on the wave model. Regalado-Méndez et al [14] devised a plant-wide economic control strategy for biodiesel production. Cheng et al [15] designed a time-delayed active disturbance rejection GPC strategy.…”

Section: Introductionmentioning

confidence: 99%

Experimental performances of nonlinear GPC and discrete–time PID in multivariate process: NARIMAX and ARX models in temperature control of reactive distillation column in synthesis of biodiesel from waste cooking oil

ÇAĞATAY¹,

KARACAN²

2022

Pamukkale J Eng Sci

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“…The process control of biodiesel production by reactive absorption has been also studied. 33,36,37 Mjalli and Hussain (2009) 38 addressed the dynamics and control of a continuous reactor unit for biodiesel production. Brasio et al ( 2016) 39 applied nonlinear model predictive control (NMPC) for the reaction section of a continuous biodiesel plant.…”

Section: Introductionmentioning

confidence: 99%

“…da Silva et al (2021) proposed key performance indicators for the evaluation of different plantwide control structures for a biodiesel production process. The process control of biodiesel production by reactive absorption has been also studied. ,, Mjalli and Hussain (2009) addressed the dynamics and control of a continuous reactor unit for biodiesel production. Brasio et al (2016) applied nonlinear model predictive control (NMPC) for the reaction section of a continuous biodiesel plant.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Modeling and Plantwide Control of a Production Process for Biodiesel and Glycerol

Wajeh

Mhamdi

Mitsos

2023

Ind. Eng. Chem. Res.

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Biodiesel production comprises several interconnected process steps with complex dynamic behavior. Dynamic plant modeling and simulation enhance process understanding and enable model-based control. We present a modular and rigorous dynamic model for biodiesel and glycerol production by alkali-catalyzed oil transesterification. We share the implemented model in Modelica open-source. Moreover, we implement two plantwide control (PWC) structures, where we assume the availability of information-rich measurements in the first and only conventional measurements in the second. To study the process dynamic behavior, we investigate several disturbance scenarios, demonstrating the importance of the plantwide perspective. The PWC structure based on an information-rich configuration shows satisfactory control performance, whereas the other fails to always satisfy product quality requirements, underlining the importance of developing dynamic models for advanced control and estimation techniques. Moreover, the model can be used as a digital twin for industrial plants as well as for model-based control and estimation applications.

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“…Sharma et al 26 proposed a decentralized PWC structure including a single-point temperature control (inferential) in the RD column, where a fresh naphtha feed was the throughput manipulator; it provided effective process regulation for large changes in throughput, thiophene composition in fresh naphtha, and feed hydrogen composition. Regalado-Meńdez et al 27 designed and implemented an economical PWC for biodiesel production involving RD and obtained satisfactory performance for disturbances and set-point changes. Thakur et al 28 developed a PWC for continuous di-isobutylene manufacturing via catalytic liquid-phase dimerization of isobutylene in the C 4 feedstock.…”

Section: Introductionmentioning

confidence: 99%

Plantwide Control of the Formic Acid Production Process Using an Integrated Framework of Simulation and Heuristics

Patle

Gadhamsetti

Sharma

et al. 2018

Ind. Eng. Chem. Res.

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Formic acid (FA) is an essential chemical, but its process design and control have not received much attention in the literature. This contribution describes the design of a plantwide control (PWC) structure for the intricate FA process having reactive distillation (RD), multiple liquid and gas recycles, as well as a snowballing effect. In this process, methyl formate (MF) is produced from methanol (MA) and carbon monoxide (CO), and then it undergoes a hydrolysis reaction in RD to produce FA and also MA for the first reaction. The presence of an RD in addition to a continuous stirred tank reactor (CSTR) coupled with three recycles makes control of the FA process interesting and challenging. This work employs a systematic method for PWC design, namely, an integrated framework of simulation and heuristics (IFSH), which is easy to implement and uses process simulators as well as heuristics in PWC design. The performance of the developed PWC structure was evaluated for various disturbances, using several criteria recommended for the evaluation of PWC design. Results of dynamic simulations and these performance evaluations show that the proposed PWC system is able to reject the tested disturbances efficiently, while meeting FA purity and production requirements. PWC for the two-step complex FA process is studied for the first time in this contribution.

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Plant-Wide Control of a Reactive Distillation Column on Biodiesel Production

Cited by 3 publications

References 12 publications

Experimental performances of nonlinear GPC and discrete–time PID in multivariate process: NARIMAX and ARX models in temperature control of reactive distillation column in synthesis of biodiesel from waste cooking oil

Experimental performances of nonlinear GPC and discrete–time PID in multivariate process: NARIMAX and ARX models in temperature control of reactive distillation column in synthesis of biodiesel from waste cooking oil

Dynamic Modeling and Plantwide Control of a Production Process for Biodiesel and Glycerol

Plantwide Control of the Formic Acid Production Process Using an Integrated Framework of Simulation and Heuristics

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