A simple approach to improve the robustness of equation-oriented simulators: Multilinear look-up table interpolators

Furlan, Felipe F.; Lino, A.; Matugi, Karina; Cruz, Antonio José Gonçalves; Secchi, Argimiro Resende; Giordano, Roberto de Campos

doi:10.1016/j.compchemeng.2015.12.014

Cited by 11 publications

(2 citation statements)

References 5 publications

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“…The MSKF2 strategy for model scheduling was based on the grid based look-up tables interpolation presented by Furlan et al (2016). Figure 4 illustrates a 2-D grid of models that has to be obtained previously from the studied system.…”

Section: Mskf2: Multivariable Linear Interpolationmentioning

confidence: 99%

Addressing the lack of measurements in the subsea environment by using a model scheduling Kalman filter coupled with a robust adaptive MPC

Delou

Souza

Secchi

2020

Braz. J. Chem. Eng.

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Electric submersible pumps (ESPs) are one of the most widespread oil artificial lifting technologies. In the operation of an ESP there are a large number of parameters that must be monitored and held within operational constraints in order to guarantee stable and optimal operation. Manual control is subject to sub-optimal production and constant violation of operational limits, that can cause either a reduction in ESP lifetime or premature failure. Therefore, a proper automation strategy must be applied to support operators in order to ensure the best production rate with less energy cost. Previous literature has proposed the use of linear MPC based on system identification, however all relevant system variable measurements were considered available. In this paper, the problem of losing measurements of the state variables due to the aggressive subsea environment is addressed. We show that a non-adaptive single linear model strategy lacks in quality for state estimation and, therefore, a robust MPC is not possible under this configuration. In this work, an adaptive constrained MPC coupled with a model scheduling Kalman filter (MSKF) is proposed. Two model scheduling strategies based on linear interpolation of a pre-set number of local models are proposed and compared to successive linearization at every sampling time, based on Taylor series expansion of the nonlinear model. All strategies guarantee model accuracy and model stability over the whole operational range. The proposed scheduling strategies presented similar performance compared to the successive linearization strategy, avoiding the need of obtaining a local linear model at each sampling time.

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Section: Mskf2: Multivariable Linear Interpolationmentioning

confidence: 99%

Addressing the lack of measurements in the subsea environment by using a model scheduling Kalman filter coupled with a robust adaptive MPC

Delou

Souza

Secchi

2020

Braz. J. Chem. Eng.

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“…Furlan et al [11] and Costa et al [4] studied a sugarcane biorefinery of first and second generation and proposed the solution of different optimization problems to improve the production of bioelectricity and bioethanol simultaneously with the decrease in liquid effluent (concentrated vinasse) output and CO 2 emissions. Other researchers developed plugins that improve results, facilitate convergence of the optimization codes [12,27], and make possible the communication between EMSO and other software [18].…”

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confidence: 99%

Optimization of chemical engineering problems with EMSO software

Henrique

Sousa

Secchi

et al. 2017

Comp Applic In Engineering

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EMSO software, a free tool for teaching and academic research, presents a favorable environment for simulation and optimization of chemical engineering problems. Although its use in research activities have been demonstrated in the literature, its application as a supporting tool for educational purposes in process systems engineering courses has not been evaluated. The objective of this paper is to demonstrate that this software is suitable as a tool for educational purposes in process systems engineering courses at undergraduate (complementary elective subject) and graduate levels. To accomplish this task, different cases studies, encompassing different sort of programming formulations, are proposed and solved with different solvers in EMSO.

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Biogas Production from Anaerobic Digestion of Vinasse in Sugarcane Biorefinery: A Techno-economic and Environmental Analysis

Longati

Lino

Giordano

et al. 2019

Waste Biomass Valor

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A simple approach to improve the robustness of equation-oriented simulators: Multilinear look-up table interpolators

Cited by 11 publications

References 5 publications

Addressing the lack of measurements in the subsea environment by using a model scheduling Kalman filter coupled with a robust adaptive MPC

Addressing the lack of measurements in the subsea environment by using a model scheduling Kalman filter coupled with a robust adaptive MPC

Optimization of chemical engineering problems with EMSO software

Biogas Production from Anaerobic Digestion of Vinasse in Sugarcane Biorefinery: A Techno-economic and Environmental Analysis

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