Optimisation of Biodiesel Synthesis from Waste Cooking Oil in the Reactive Distillation Column Using Taguchi Methodology

Çağatay, Mehmet; Çağatay, Şeyda; Karacan, Süleyman

doi:10.2339/politeknik.672602

Cited by 1 publication

(3 citation statements)

References 29 publications

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“…Before proceeding to the control studies, the process was simulated with Aspen HYSYS to see the effects of feed inlet temperature, feed flow rate, mole ratio, reflux ratio and reboiler heat duty on temperature responses and FAME mole fraction. It was concluded that the simulation results were compatible with [35] in terms of the effect of the parameters. Accordingly, the most important parameters were determined as feed flow rate, mole ratio and reboiler heat duty.…”

Section: Discussionsupporting

confidence: 52%

“…Supportingly, similar results have been found in the literature. Likewise, the feed inlet temperature was not taken place in the model [35]. Accordingly, the most important parameter affecting the FAME mole fraction is the WCO flow rate, and the other significant one is the mole ratio.…”

Section: Results Of Simulation With Hysysmentioning

confidence: 99%

“…In this way, it will be ensured that there is always excess methanol in the reaction and that the equilibrium reaction would shift towards the product side. Lastly, the inlet mole ratio has been kept constant as 8.19 [35] in all experimental control studies.…”

Section: Results Of Simulation With Hysysmentioning

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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Section: Discussionsupporting

confidence: 52%

Section: Results Of Simulation With Hysysmentioning

confidence: 99%

See 1 more Smart Citation

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

View full text Add to dashboard Cite

show abstract

Optimisation of Biodiesel Synthesis from Waste Cooking Oil in the Reactive Distillation Column Using Taguchi Methodology

Abstract: Bu makaleye şu şekilde atıfta bulunabilirsiniz(To cite to this article): Çağatay M. T., Çağatay Ş.ve Karacan S., "Optimisation of biodiesel synthesis from waste cooking oil in the reactive distillation column using taguchi methodology",

Cited by 1 publication

References 29 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

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