Optimization
Optimal Control
Modeling and Simulation
37
Scopus Publications
669
Scholar Citations
15
Scholar h-index
17
Scholar i10-index
Scopus Publications
Supervisory Monitoring and Control Using Chemical Process Simulators and SCADA Systems Rebecca Bastos Boschoski, Lizandro de Sousa Santos Methane, 2026 A digital twin (DT) is an automation strategy that integrates a physical plant with an adaptive, real-time simulation environment, with bidirectional communication between them. In process engineering, DTs promise real-time monitoring, prediction of future conditions, predictive maintenance, process optimization, and control. Dashboards for process monitoring are becoming increasingly relevant for tracking key metrics and supervising industrial units in real time. Supervisory Control and Data Acquisition (SCADA) systems are widely used for process automation, with ScadaBR, an open-source, freely licensed platform. This work presents the development of a computational tool that integrates the Aspen HYSYS/Python with the ScadaBR system for real-time monitoring and supervision of dynamic models. The virtual plant, which replicates the system’s physical behavior, was connected to the SCADA platform via the Modbus protocol, enabling bidirectional data exchange between the simulated model and the supervisory interface. The system supports operational analysis and control strategy validation. Two case studies were analyzed: (i) a simplified catalytic hydrocracking process, implemented in the Python environment, and (ii) a heat exchanger networks process, simulated using the HYSYS simulator. In the second case, the process was dynamically simulated, with real-time monitoring of a simple dynamic indicator that correlates the feed methane concentration with heat transfer fluids. The results demonstrate the feasibility and applicability of the proposed approach for educational purposes, operator training, and process engineering validation, fostering a more realistic and interactive simulation environment. Furthermore, the results show that the tool is promising for dynamic monitoring of environmental and energy indices, demonstrating that methane consumption relative to process feed can be evaluated and controlled over time.
A Scada system used for monitoring virtual chemical plants via Modbus communication Thiago da Cunha Rocha Devessa de Miranda, Lizandro de Sousa Santos Internet Technology Letters, 2024 Many chemical processes commonly use many instruments to meticulously gauge and regulate critical system variables. Automation within the industrial sector hinges upon deploying a Supervisory Control and Data Acquisition (SCADA) system. However, the software typically employed for this purpose is endowed with substantial added value, rendering its application in smaller‐scale projects economically impractical. In the context of this study, our primary objective was to develop a SCADA system tailored for a virtual plant. To realize this aim, we simulated a heat exchanger network process unit using UniSim®. We integrated it with the ScadaBR software through a Python script, capitalizing on the Modbus communication protocol. It encompasses essential functionalities such as real‐time variable supervision, dynamic graph and report generation. For the proposed example, 28 variables were monitored. The results revealed that statistical analysis of the variables could be performed graphically and computationally, evidencing that the ScadaBR tool was successfully connected to the Unisim® simulator.
Supervisory Monitoring and Control Using Chemical Process Simulators and SCADA Systems RB Boschoski, LS Santos Methane 5 (1), 8 , 2026 2026
Model-optimization-guided neural network (MOGNN) applied to chemical processes FMF Siqueira, L de Sousa Santos Applied Soft Computing 167, 112285 , 2024 2024 Citations: 1
A Scada system used for monitoring virtual chemical plants via Modbus communication TCRD de Miranda, LS Santos Internet Technology Letters 7 (6), e495 , 2024 2024 Citations: 1
Analysis of multi-objective optimization applied to the simulation of a natural gas separation plant I dos Santos Lemos, L de Sousa Santos Gas Science and Engineering 128, 205360 , 2024 2024 Citations: 5
Multi-objective optimization study applied to an ethanol fermentation of cashew apple juice IB Correa, M de Almeida Rodrigues da Silva, L de Sousa Santos Brazilian Journal of Chemical Engineering 41 (1), 71-85 , 2024 2024 Citations: 6
Analysis of single and multi-objective optimization of the pultrusion process RCC Dias, L de Sousa Santos Materials Today Communications 35, 105677 , 2023 2023 Citations: 3
Use of ScadaBR for Monitoring and Optimizing Simulated Chemical Plants TCRD de Miranda, LS Santos ESS Open Archive eprints 74, 07419795 , 2023 2023
Use of Arduino for Monitoring the Air Quality of Indoor Environments FMF Siqueira, L de Sousa Santos The Journal of Engineering and Exact Sciences 8 (11), 15050-01e , 2022 2022 Citations: 1
Response: two arguments against the use of radar plots for constructing composite indicators CP Pereira, DM Prata, LS Santos, LPC Monteiro Brazilian Journal of Chemical Engineering 39 (3), 887-890 , 2022 2022 Citations: 1
Multi-objective optimization of a biodiesel production process using process simulation PC Gonçalves, LPC Monteiro, L de Sousa Santos Journal of Cleaner Production 270, 122322 , 2020 2020 Citations: 33
Sensitivity analysis and optimization of a membrane reactor for hydrogen production through methane steam reforming IN Caxiano, L de Sousa Santos, DM Prata Revista Mundi Engenharia, Tecnologia e Gestão (ISSN: 2525-4782) 5 (6) , 2020 2020 Citations: 1
Kinetic parameter estimation and simulation of pultrusion process of an epoxy-glass fiber system RCC Dias, ML Costa, L de Sousa Santos, R Schledjewski Thermochimica Acta 690, 178636 , 2020 2020 Citations: 14
Simulation and optimization of a continuous biodiesel plant using nonlinear programming A de Oliveira Alvarães, DM Prata, L de Sousa Santos Energy 189, 116305 , 2019 2019 Citations: 9
A systematic methodology for comparing the sustainability of process systems based on weighted performance indicators PV Mangili, LS Santos, DM Prata Computers & Chemical Engineering 130, 106558 , 2019 2019 Citations: 26
Eco-efficiency and techno-economic analysis for maleic anhydride manufacturing processes PV Mangili, PG Junqueira, LS Santos, DM Prata Clean Technologies and Environmental Policy 21 (5), 1073-1090 , 2019 2019 Citations: 26
Simulação e otimização do processo de pirólise de biomassas IB Correa, L de Sousa Santos Revista Mundi Engenharia, Tecnologia e Gestão (ISSN: 2525-4782) 4 (3) , 2019 2019 Citations: 1
Simulation and optimization of continuous biodiesel production from soybean oil PC Gonçalves, LS Santos, LP Monteiro Revista Mundi Engenharia, Tecnologia e Gestão (ISSN: 2525-4782) 4 (3) , 2019 2019 Citations: 1
NMR relaxation and relaxivity parameters of MRI probes revealed by optimal wavelet signal compression of molecular dynamics simulations MA Gonçalves, LS Santos, FC Peixoto, TC Ramalho International Journal of Quantum Chemistry 119 (10), e25896 , 2019 2019 Citations: 17
An adaptive sequential wavelet-based algorithm developed for dynamic optimization problems L de Sousa Santos, AR Secchi, DM Prata, EC Biscaia Jr Computers & Chemical Engineering 121, 465-482 , 2019 2019 Citations: 6
Simulation and optimization of a continuous biodiesel plant using nonlinear programming L de Sousa Santos, A de Oliveira Alvarães, DM Prata 2019
MOST CITED SCHOLAR PUBLICATIONS
Simulation and optimization of a methanol synthesis process from different biogas sources RO dos Santos, L de Sousa Santos, DM Prata Journal of Cleaner Production 186, 821-830 , 2018 2018 Citations: 147
Optimal wavelet signal compression as an efficient alternative to investigate molecular dynamics simulations: application to thermal and solvent effects of MRI probes MA Gonçalves, LS Santos, DM Prata, FC Peixoto, EFF da Cunha, ... Theoretical Chemistry Accounts 136 (1), 15 , 2017 2017 Citations: 75
Development of eco-efficiency comparison index through eco-indicators for industrial applications CP Pereira, DM Prata, LS Santos, LPC Monteiro Brazilian Journal of Chemical Engineering 35, 69-90 , 2018 2018 Citations: 56
Economic and environmental analysis of the cumene production process using computational simulation PG Junqueira, PV Mangili, RO Santos, LS Santos, DM Prata Chemical Engineering and Processing-Process Intensification 130, 309-325 , 2018 2018 Citations: 53
Multi-objective optimization of a biodiesel production process using process simulation PC Gonçalves, LPC Monteiro, L de Sousa Santos Journal of Cleaner Production 270, 122322 , 2020 2020 Citations: 33
Dynamic optimization of a continuous gas lift process using a mesh refining sequential method L de Sousa Santos, KMF de Souza, MR Bandeira, VRR Ahón, FC Peixoto, ... Journal of Petroleum Science and Engineering 165, 161-170 , 2018 2018 Citations: 30
A systematic methodology for comparing the sustainability of process systems based on weighted performance indicators PV Mangili, LS Santos, DM Prata Computers & Chemical Engineering 130, 106558 , 2019 2019 Citations: 26
Eco-efficiency and techno-economic analysis for maleic anhydride manufacturing processes PV Mangili, PG Junqueira, LS Santos, DM Prata Clean Technologies and Environmental Policy 21 (5), 1073-1090 , 2019 2019 Citations: 26
Eco-efficiency evaluation of acetone-methanol separation processes using computational simulation PV Mangili, YPDM Souza, DQF de Menezes, LS Santos, DM Prata Chemical Engineering and Processing-Process Intensification 123, 100-110 , 2018 2018 Citations: 25
Improving degree of cure in pultrusion process by optimizing die-temperature RCC Dias, L de Sousa Santos, H Ouzia, R Schledjewski Materials Today Communications 17, 362-370 , 2018 2018 Citations: 20
CFD-optimization algorithm to optimize the energy transport in pultruded polymer composites LS Santos, EC Biscaia Jr, RL Pagano, VMA Calado Brazilian Journal of Chemical Engineering 29, 559-566 , 2012 2012 Citations: 19
Optimum heating configuration of pultrusion process LS Santos, RL Pagano, EC Biscaia, VMA Calado Computer Aided Chemical Engineering 27, 705-710 , 2009 2009 Citations: 18
NMR relaxation and relaxivity parameters of MRI probes revealed by optimal wavelet signal compression of molecular dynamics simulations MA Gonçalves, LS Santos, FC Peixoto, TC Ramalho International Journal of Quantum Chemistry 119 (10), e25896 , 2019 2019 Citations: 17
Application of Scilab/Xcos for process control applied to chemical engineering educational projects EB Vieira, WF Busch, DM Prata, LS Santos Computer applications in engineering education 27 (1), 154-165 , 2019 2019 Citations: 15
Comparing structure and dynamics of solvation of different iron oxide phases for enhanced magnetic resonance imaging MA Gonçalves, LS Santos, FC Peixoto, EFF da Cunha, TC Silva, ... ChemistrySelect 2 (31), 10136-10142 , 2017 2017 Citations: 15
Kinetic parameter estimation and simulation of pultrusion process of an epoxy-glass fiber system RCC Dias, ML Costa, L de Sousa Santos, R Schledjewski Thermochimica Acta 690, 178636 , 2020 2020 Citations: 14
Optimization of a pultrusion process using finite difference and particle swarm algorithms LS Santos, RL Pagano, VMA Calado, EC Biscaia Jr Brazilian Journal of Chemical Engineering 32 (2), 543-553 , 2015 2015 Citations: 14
Simulation and optimization of a continuous biodiesel plant using nonlinear programming A de Oliveira Alvarães, DM Prata, L de Sousa Santos Energy 189, 116305 , 2019 2019 Citations: 9
Multi-objective optimization study applied to an ethanol fermentation of cashew apple juice IB Correa, M de Almeida Rodrigues da Silva, L de Sousa Santos Brazilian Journal of Chemical Engineering 41 (1), 71-85 , 2024 2024 Citations: 6
An adaptive sequential wavelet-based algorithm developed for dynamic optimization problems L de Sousa Santos, AR Secchi, DM Prata, EC Biscaia Jr Computers & Chemical Engineering 121, 465-482 , 2019 2019 Citations: 6