Nonlinear model predictive control of biodiesel production via transesterification of used vegetable oils

Brásio, Ana S. R.; Romanenko, Andrey; Leal, João R.; Santos, Lino O.; Fernandes, Natércia C. P.

doi:10.1016/j.jprocont.2013.09.023

Cited by 26 publications

(17 citation statements)

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“…The interested reader can refer to excellent review articles in this area [155][156][157][158][159]. The operation and control of biomass-based processes pose unique challenges such as variable (type and concentration) feed [160], distributed nature of raw material availability [161], nonlinear dynamics [162][163][164] and fewer online measurements [165].…”

Section: Renewable Fuelsmentioning

confidence: 99%

“…In the context of bio-diesel production, most of the control studies have focused on the control of the transesterification reactor which is the heart of the bio-diesel production process. Optimal control (deterministic and stochastic) [160,174] and MPC [162,164,[175][176][177] seem to be the popular choices for this reactor control problem. Operation and control of reactive separation systems have also been pursued for biodiesel production systems, however, most of these contributions use simple PID controllers [178,179].…”

Section: Renewable Fuelsmentioning

confidence: 99%

See 1 more Smart Citation

Sustainability and process control: A survey and perspective

Daoutidis

Zachar

Jogwar

2016

Journal of Process Control

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Section: Renewable Fuelsmentioning

confidence: 99%

Section: Renewable Fuelsmentioning

confidence: 99%

Sustainability and process control: A survey and perspective

Daoutidis

Zachar

Jogwar

2016

Journal of Process Control

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“…An appropriated mathematical model can be used to predict the effect of disturbances in biodiesel reactors, including these caused by oil change, and help to reduce the negative effects by the design of a control system [3,4,[12][13][14][15]. Nonetheless, the continuous reactor model previously reported does not consider the dynamics of feed oil changes.…”

Section: Introductionmentioning

confidence: 99%

Effects on Biodiesel Production Caused by Feed Oil Changes in a Continuous Stirred-Tank Reactor

et al. 2020

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Continuous production processes and an adequate supply of raw materials are necessary to satisfy the growing demand for biodiesel. The use of different feed oils could be necessary to ensure sufficient supply for biodiesel production in certain circumstances; however, changing feed oil during the operation of a continuous reactor causes process disturbances. The present study analyses the effect of feed oil changes on the continuous operation of a industrial continuous stirred-tank reactor (CSTR) using a model which takes the dynamics of oil changes into account. The models previously reported only consider the operation of reactor with only one vegetable oil. The model in this work was developed by mass and energy balances. A methodology to model oil changes is presented. Glycerides and esters were characterized using adequate approaches. Moreover, accurate methods for predicting essential properties in the biodiesel manufacturing were used for the estimation of their thermo-physical properties. The kinetic parameters of the transesterifications were calculated from consistent studies selected from an exhaustive literature revision. The results show that temperature is practically not affected after oil changes; however, the ester concentration varies considerably. The ester mass fraction varying by up to 22.07% after an disturbance.

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“…Literature shows burgeoning interest in advanced model based control of a transesterification reactor [5,[8][9][10][11][12][13][14][15][16]]. An approach to determine an optimal temperature trajectory for a batch reactor was presented in [5].…”

Section: Introductionmentioning

confidence: 99%

“…Consequently, deviations between the desired and actual states occurring during the process cannot be corrected and disturbances cannot be compensated. A method to overcome these drawbacks of open-loop control was presented by [14]. In this work, the economic performance of a semi-batch reactor for the production of biodiesel was optimized by using a nonlinear model predictive control (NMPC) strategy.…”

Section: Introductionmentioning

confidence: 99%