Jones Erni Schmitz

@utfpr.edu.br

Bioprocess engineering department
Federal University of Tecnology - Paraná

Jones Erni Schmitz


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https://researchid.co/jonesschmitz

RESEARCH, TEACHING, or OTHER INTERESTS

General Chemical Engineering, Artificial Intelligence
11

Scopus Publications

205

Scholar Citations

7

Scholar h-index

4

Scholar i10-index

Scopus Publications

  • Plantwide control systems design and evaluation applied to biodiesel production
    Bruno Firmino da Silva, Jones Erni Schmitz, Ivan Carlos Franco, Flávio Vasconcelos da Silva
    Biofuels, 2021
  • Human Immunoglobulin G Adsorption in Epoxy Chitosan/Alginate Adsorbents: Evaluation of Isotherms by Artificial Neural Networks
    Ana Carolina Moreno Pássaro, Tainá Maia Mozetic, Jones Erni Schmitz, Ivanildo José da Silva, Tiago Dias Martins, et al.
    Chemical Product and Process Modeling, 2019
    This work aimed to evaluate the interaction of human IgG in non-conventional adsorbents based on chitosan and alginate in the absence and presence of Reactive Green, Reactive Blue and Cibacron Blue immobilized as ligands. The adsorption was evaluated at 277, 288, 298 and 310 K using sodium phosphate buffer, pH 7.6, at 25 mmol L−1. The highest adsorption capacity was observed in the experiments performed with no immobilized dye, although all showed adsorption capacity higher than 120 mg g−1. Data modeling was done using Langmuir, Langmuir-Freundlich and Temkin classical nonlinear models, and artificial neural networks (ANN) for comparison. According to the parameters obtained, a possible adsorption in multilayers was observed due to protein-adsorbent and protein-protein interactions, concluding that IgG adsorption process is favorable and spontaneous. Using an ANN structure with 3 hidden neurons (single hidden layer), the MSE (RMSE) for training, test and validation were 13.698 (3.701), 11.206 (3.347) and 7.632 (2.763), respectively, achieving correlation coefficients of 0.999 in all steps. ANN modeling proved to be effective in predicting the adsorption isotherms in addition to overcoming the difficulties caused by experimental errors and/or arising from adsorption phenomenology.
  • Development of a Predictive Control Based on Takagi-Sugeno Model Applied in a Nonlinear System of Industrial Refrigeration
    I. C. Franco, J. E. Schmitz, T. V. Costa, A. M. F. Fileti, F. V. Silva
    Chemical Engineering Communications, 2017
  • Fuzzy Multivariable Control Strategy Applied to a Refrigeration System
    Saulo Fernando dos Santos Vidal, Jones Erni Schmitz, Ivan Carlos Franco, Ana Maria Frattini Fileti, Flavio Vasconcelos Da Silva
    Chemical Product and Process Modeling, 2017
    The refrigeration process involves complex systems exhibiting nonlinearities and coupled behavior, so this paper aims to evaluate the comparative performance of a multivariable fuzzy logic-based control system and a classic multi loop PID. The process variables were the temperature of the secondary fluid (propylene glycol) outlet and the evaporating temperature. The manipulated variables were the compressor frequency speed and the pump frequency speed. Aspen Plus and Aspen Dynamics simulators were used to simulate the experimental prototype. The model was previously validated and linked with MATLAB software, where the controllers were implemented. Tuning of the fuzzy controller was performed through the membership functions and gains adjustments. The tuning of the multi loop PID controller was performed using the Ziegler-Nichols method and then a fine tuning was carried out. In order to fairly compare energy consumption and control effort, the tune of PID-based strategy was finished when similar values of Integral of Squared Error were achieved. Thus, very similar behavior for the process variables in both controllers. On the other hand, a great improvement in the control effort and energy saving was observed when the multivariable fuzzy controller was used in comparison to classic PID. The energy consumption was reduced by 25 % and the control effort by 96 % when the proposed strategy was used.
  • Identification and online validation of a pH neutralization process using an adaptive network-based fuzzy inference system
    Ariane Silva Mota, Mauro Renault Menezes, Jones Erni Schmitz, Thiago Vaz da Costa, Flávio Vasconcelos da Silva, et al.
    Chemical Engineering Communications, 2016
  • Prediction of the isotherms of human IgG adsorption on Ni(II)-IDA-PEVA membrane using artificial neural networks
    Jones Erni Schmitz, Igor Tadeu Lazzarotto Bresolin
    Adsorption, 2014
  • Multivariable fuzzy control strategy for an experimental chiller system
    J.E. Schmitz, F.V. Silva, L.C. Neves Filho, A.M.F. Fileti, V. Silveira
    Journal of Food Process Engineering, 2014
    A multivariable fuzzy controller was developed and implemented for the regulation of the secondary fluid temperature in a chiller using both the rotation frequencies of the pump and the compressor as manipulated variables. Its performance was measured using the integral of time‐weighted absolute error (ITAE) index and the energy consumption. The proposed control strategy proved able to adequately control the chiller in all experiments. For comparison purposes, similar experiments were carried out with fuzzy control strategies in which only one variable was manipulated at a time. Comparing the performance of the proposed controllers with the fuzzy single input–single output controllers for regulatory control, a mean percentage reduction of at least 88.5% was observed in the ITAE. Good results were also observed in control effort and energy consumption. Besides, the implementation of the control strategy was quite simple.Practical ApplicationsRefrigeration systems are of fundamental importance for food conservation. Besides, to maintain the temperature into a narrow range needs an efficient control system and implies energy consumption and equipment wear. The use of a fuzzy controller with two manipulated variables to regulate the secondary fluid temperature has proved to be an efficient control configuration. Desirable characteristics like small or no overshoot, reduced control effort were achieved by the proposed multivariable fuzzy controller. Therefore, this proposed strategy is a valuable alternative to control processes that require strict variability or long periods of operation without stopping.
  • Software to improve control system in an ethanol distillation process
    André Ribeiro Lins de Albuquerque, Cecília Sosa Arias Peixoto, Luiz Teruo Kawamoto Júnior, Georgea Duarte, Jones Erni Schmitz, et al.
    Advanced Materials Research, 2014
    This work has developed a predictive control solution based on specific models for the process of ethanol distillation. The advantages of such control are relative to the prediction of the consequences of the disturbances by the model, thus enabling the control action to be done in a previous manner, resulting in the minimization of the variables fluctuation controlled by the process. This results in, among other advantages, energy economy, in the improvement of the ethanol produced and in the increasing production capacity. Another desirable characteristic in this control mode is its capacity to act in non-linear systems as is the case of the distillation columns. Finally, it must be noted that with the application of an advanced control solution, as proposed in this study, it becomes viable, in a second moment, for the ethanol plants to operate in multiple operational conditions, such as: 1) maximum energy economy (scarcity of raw material, for example) and: 2) maximum production condition (for situations with excess of materials to be distilled). The models developed in this project will consist of purely empirical models. Several tests will be done in the different types of models to measure the precision and robustness. The proposed control strategy demonstrated be able to control selected control loops adequately. Steam savings and reduction of product losses were observed.
  • A fuzzy-split range control system applied to a fermentation process
    Rodolpho Rodrigues Fonseca, Jones Erni Schmitz, Ana Maria Frattini Fileti, Flavio Vasconcelos da Silva
    Bioresource Technology, 2013
  • Saving energy using fuzzy control applied to a chiller: An experimental study
    F. V. Silva, J. E. Schmitz, L. C. Neves Filho, A. M. F. Fileti, V. Silveira Júnior
    Clean Technologies and Environmental Policy, 2012
  • Artificial neural networks for the solution of the phase stability problem
    Jones E. Schmitz, Roger J. Zemp, Mário J. Mendes
    Fluid Phase Equilibria, 2006

RECENT SCHOLAR PUBLICATIONS

  • Optimization of coating time and weight gain in cyclobenzaprine hydrochloride tablet coating process
    MF Barbosa, IAV Viapiana, LO Lima, FB Scheufele, JE Schmitz
    The Journal of Engineering and Exact Sciences 11 (1), 22111 , 2025
    2025
  • Avaliação dos diferentes tipos de secagem da casca de jabuticaba (Myrciaria cauliflora) para preservação dos compostos bioativos
    CL Saibert, A Scalcon, JAP Klauck, LL Ricardo, JE Schmitz
    The Journal of Engineering and Exact Sciences 9 (6), 16295-01e , 2023
    2023
  • Plantwide control systems design and evaluation applied to biodiesel production
    BF da Silva, JE Schmitz, IC Franco, FV da Silva
    Biofuels 12 (10), 1199-1207 , 2021
    2021
    Citations: 9
  • Human immunoglobulin G adsorption in epoxy chitosan/alginate adsorbents: evaluation of isotherms by artificial neural networks
    ACM Pássaro, TM Mozetic, JE Schmitz, IJ da Silva Jr, TD Martins, ...
    Chemical Product and Process Modeling 14 (4), 20190077 , 2019
    2019
    Citations: 7
  • Fuzzy multivariable control strategy applied to a refrigeration system
    SF dos Santos Vidal, JE Schmitz, IC Franco, AM Frattini Fileti, FV Da Silva
    Chemical Product and Process Modeling 12 (2), 20160033 , 2017
    2017
    Citations: 5
  • Development of a predictive control based on Takagi-Sugeno model applied in a nonlinear system of industrial refrigeration
    IC Franco, JE Schmitz, TV Costa, AMF Fileti, FV Silva
    Chemical Engineering Communications 204 (1), 39-54 , 2017
    2017
    Citations: 9
  • Identification and online validation of a ph neutralization process using an adaptive network-based fuzzy inference system
    AS Mota, MR Menezes, JE Schmitz, TV da Costa, FV da Silva, IC Franco
    Chemical Engineering Communications 203 (4), 516-526 , 2016
    2016
    Citations: 17
  • SIMULAÇÃO E CONTROLE GLOBAL DE UMA PLANTA TÍPICA PARA PRODUÇÃO DE BIODIESEL
    BF da SILVA, FV da SILVA, JE SCHMITZ¹
    Blucher Chemical Engineering Proceedings 1 (2), 12257-12264 , 2015
    2015
  • Prediction of the isotherms of human IgG adsorption on Ni (II)-IDA-PEVA membrane using artificial neural networks
    JE Schmitz, IT Lazzarotto Bresolin
    Adsorption 20 (8), 959-965 , 2014
    2014
    Citations: 5
  • Multivariable fuzzy control strategy for an experimental chiller system
    JE Schmitz, FV Silva, LC Neves Filho, AMF Fileti, V Silveira
    Journal of Food Process Engineering 37 (2), 160-168 , 2014
    2014
    Citations: 6
  • Software to Improve Control System in an Ethanol Distillation Process
    ARL de Albuquerque, CSA Peixoto, L Teruo Kawamoto Júnior, G Duarte, ...
    Advanced Materials Research 827, 169-175 , 2014
    2014
  • A fuzzy–split range control system applied to a fermentation process
    RR Fonseca, JE Schmitz, AMF Fileti, FV Da Silva
    Bioresource technology 142, 475-482 , 2013
    2013
    Citations: 49
  • FUZZY -PID CONTROLLER APPLIED TO A REFRIGERATION SYSTEM
    JE SCHMITZ, FV DA SILVA, ANAMF FILETI, LCN FILHO, ...
    International Journal of Air-Conditioning and Refrigeration 20 (02), 1250006 , 2012
    2012
    Citations: 2
  • Saving energy using fuzzy control applied to a chiller: an experimental study
    FV Silva, JE Schmitz, LC Neves Filho, AMF Fileti, V Silveira Júnior
    Clean Technologies and Environmental Policy 14 (4), 535-542 , 2012
    2012
    Citations: 12
  • Utilização do protocolo de comunicação OLE for Process Control em processos industriais
    IC Franco, JE Schmitz, AMF Fileti, FV da Silva
    Exacta 8 (3), 319-329 , 2010
    2010
  • Artificial neural networks for the solution of the phase stability problem
    JE Schmitz, RJ Zemp, MJ Mendes
    Fluid Phase Equilibria 245 (1), 83-87 , 2006
    2006
    Citations: 79
  • Cálculos de estabilidade e divisão de fases por meio de redes neurais artificiais
    JE Schmitz
    [sn] , 2006
    2006
    Citations: 4
  • Equilibrium Phase Diagrams for Heterogeneous Azeotropic Systems
    JE Schmitz, M de Jesus Mendes
    2nd Mercosur Congress on Chemical Engineering, 4th Mercosur Congress on … , 2005
    2005
  • Modelos hibridos de colunas de destilação
    JE Schmitz
    [sn] , 2002
    2002
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • Artificial neural networks for the solution of the phase stability problem
    JE Schmitz, RJ Zemp, MJ Mendes
    Fluid Phase Equilibria 245 (1), 83-87 , 2006
    2006
    Citations: 79
  • A fuzzy–split range control system applied to a fermentation process
    RR Fonseca, JE Schmitz, AMF Fileti, FV Da Silva
    Bioresource technology 142, 475-482 , 2013
    2013
    Citations: 49
  • Identification and online validation of a ph neutralization process using an adaptive network-based fuzzy inference system
    AS Mota, MR Menezes, JE Schmitz, TV da Costa, FV da Silva, IC Franco
    Chemical Engineering Communications 203 (4), 516-526 , 2016
    2016
    Citations: 17
  • Saving energy using fuzzy control applied to a chiller: an experimental study
    FV Silva, JE Schmitz, LC Neves Filho, AMF Fileti, V Silveira Júnior
    Clean Technologies and Environmental Policy 14 (4), 535-542 , 2012
    2012
    Citations: 12
  • Plantwide control systems design and evaluation applied to biodiesel production
    BF da Silva, JE Schmitz, IC Franco, FV da Silva
    Biofuels 12 (10), 1199-1207 , 2021
    2021
    Citations: 9
  • Development of a predictive control based on Takagi-Sugeno model applied in a nonlinear system of industrial refrigeration
    IC Franco, JE Schmitz, TV Costa, AMF Fileti, FV Silva
    Chemical Engineering Communications 204 (1), 39-54 , 2017
    2017
    Citations: 9
  • Human immunoglobulin G adsorption in epoxy chitosan/alginate adsorbents: evaluation of isotherms by artificial neural networks
    ACM Pássaro, TM Mozetic, JE Schmitz, IJ da Silva Jr, TD Martins, ...
    Chemical Product and Process Modeling 14 (4), 20190077 , 2019
    2019
    Citations: 7
  • Multivariable fuzzy control strategy for an experimental chiller system
    JE Schmitz, FV Silva, LC Neves Filho, AMF Fileti, V Silveira
    Journal of Food Process Engineering 37 (2), 160-168 , 2014
    2014
    Citations: 6
  • Fuzzy multivariable control strategy applied to a refrigeration system
    SF dos Santos Vidal, JE Schmitz, IC Franco, AM Frattini Fileti, FV Da Silva
    Chemical Product and Process Modeling 12 (2), 20160033 , 2017
    2017
    Citations: 5
  • Prediction of the isotherms of human IgG adsorption on Ni (II)-IDA-PEVA membrane using artificial neural networks
    JE Schmitz, IT Lazzarotto Bresolin
    Adsorption 20 (8), 959-965 , 2014
    2014
    Citations: 5
  • Cálculos de estabilidade e divisão de fases por meio de redes neurais artificiais
    JE Schmitz
    [sn] , 2006
    2006
    Citations: 4
  • FUZZY -PID CONTROLLER APPLIED TO A REFRIGERATION SYSTEM
    JE SCHMITZ, FV DA SILVA, ANAMF FILETI, LCN FILHO, ...
    International Journal of Air-Conditioning and Refrigeration 20 (02), 1250006 , 2012
    2012
    Citations: 2
  • Modelos hibridos de colunas de destilação
    JE Schmitz
    [sn] , 2002
    2002
    Citations: 1
  • Optimization of coating time and weight gain in cyclobenzaprine hydrochloride tablet coating process
    MF Barbosa, IAV Viapiana, LO Lima, FB Scheufele, JE Schmitz
    The Journal of Engineering and Exact Sciences 11 (1), 22111 , 2025
    2025
  • Avaliação dos diferentes tipos de secagem da casca de jabuticaba (Myrciaria cauliflora) para preservação dos compostos bioativos
    CL Saibert, A Scalcon, JAP Klauck, LL Ricardo, JE Schmitz
    The Journal of Engineering and Exact Sciences 9 (6), 16295-01e , 2023
    2023
  • SIMULAÇÃO E CONTROLE GLOBAL DE UMA PLANTA TÍPICA PARA PRODUÇÃO DE BIODIESEL
    BF da SILVA, FV da SILVA, JE SCHMITZ¹
    Blucher Chemical Engineering Proceedings 1 (2), 12257-12264 , 2015
    2015
  • Software to Improve Control System in an Ethanol Distillation Process
    ARL de Albuquerque, CSA Peixoto, L Teruo Kawamoto Júnior, G Duarte, ...
    Advanced Materials Research 827, 169-175 , 2014
    2014
  • Utilização do protocolo de comunicação OLE for Process Control em processos industriais
    IC Franco, JE Schmitz, AMF Fileti, FV da Silva
    Exacta 8 (3), 319-329 , 2010
    2010
  • Equilibrium Phase Diagrams for Heterogeneous Azeotropic Systems
    JE Schmitz, M de Jesus Mendes
    2nd Mercosur Congress on Chemical Engineering, 4th Mercosur Congress on … , 2005
    2005