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Processes
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Process System Engineering-Brazil (PSE-BR)
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Process System Engineering-Brazil (PSE-BR)

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Process Control and Monitoring".

Deadline for manuscript submissions: closed (31 May 2020) | Viewed by 17920

Special Issue Editors

Prof. Dr. Argimiro Resende Secchi

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Guest Editor
Chemical Engineering Program, COPPE, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro 21941-914, Brazil
Interests: process modeling and simulation; process control and optimization; real-time process monitoring and optimization; numerical methods
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Maurício Bezerra De Souza Jr.

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Guest Editor
Chemical Engineering Department, Universidade Federal do Rio de Janeiro, (UFRJ), Rio de Janeiro, RJ, Brazil
Interests: process control; data-based methods for monitoring and control; fault detection and diagnosis; process system engineering; artificial intelligence; neural networks; autonomous systems
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Príamo Albuquerque Melo Junior

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Guest Editor
Programa de Engenharia Química/COPPE, UFRJ
Interests: modeling and simulation; polymer and petrochemical systems
Prof. Dr. André Luiz Hemerly Costa

E-Mail Website
Guest Editor
Institute of Chemistry, DOPI, Rio de Janeiro State University (UERJ), BR-20550900 Rio De Janeiro, Brazil
Interests: process systems engineering; equipment basic design optimization
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Brazilian Process System Engineering community (PSE-BR) has demonstrated a long history of excellence. In the 1960s, Professor Carlos A. G. Perlingeiro pioneeringly started his research in this area at COPPE-UFRJ. Since then, many hundreds of students have been supervised and become professionals in the academy and industry in areas such as process modeling, simulation, optimization, synthesis, and control, among others. Brazil has a regular biannual meeting of chemical engineering, the Brazilian Congress of Chemical Engineering (COBEQ), and has also hosted important IFAC control symposiums (ADCHEM in 2006, and DYCOPS in 2019); however, the Brazilian PSE community did not have its own congress until this year. The 1st Brazilian Congress of Process System Engineering, PSE-BR 2019, is being held by the PSE-section of the Brazilian Association of Chemical Engineering (ABEQ) in Rio de Janeiro, Brazil, on 20–22 May 2019.

The PSE-BR 2019 has accepted 205 papers and more than 250 registrants. This Special Issue focuses on selected papers from the following thematic sessions of this conference:

  1. Process modeling and simulation;
  2. Process optimization;
  3. Process synthesis and design;
  4. Process integration and intensification;
  5. Process control and instrumentation;
  6. Data mining and machine learning;
  7. Production planning and scheduling;
  8. Molecular modeling and product design;
  9. Fault detection and diagnostics;
  10. Industrial application of PSE Toolbox.

We look forward to receiving your contributions.

Prof. Dr. Argimiro Resende Secchi
Prof. Dr. Maurício Bezerra de Souza Jr.
Prof. Dr. Príamo Albuquerque Melo Junior
Prof. Dr. André Luiz Hemerly Costa
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • PSE
  • process system engineering
  • modeling and simulation
  • process optimization
  • process control
  • industrial applications
  • intensification
  • synthesis
  • scheduling
  • machine learning.

Published Papers (4 papers)

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Research

17 pages, 7487 KiB  
Article
Construction and Automation of a Microcontrolled Solar Tracker
by Juliano da Rocha Queiroz, Anacreone da Silva Souza, Maurício Klein Gussoli, Júlio César Dainezi de Oliveira and Cid Marcos Gonçalves Andrade
Processes 2020, 8(10), 1309; https://doi.org/10.3390/pr8101309 - 19 Oct 2020
Cited by 7 | Viewed by 4663
Abstract
A solar tracker can be defined as an electromechanical system capable of following the apparent path of the Sun, in order to orient an array of solar panels and/or collectors directly to the solar rays, maximizing the collected energy. Accordingly, the present work [...] Read more.
A solar tracker can be defined as an electromechanical system capable of following the apparent path of the Sun, in order to orient an array of solar panels and/or collectors directly to the solar rays, maximizing the collected energy. Accordingly, the present work describes the process of building and automating a micro-controlled solar tracker. Two mobile structures were built, one equipped with high-precision step motors and four luminosity sensors separated in quadrants by a cross structure, and the other equipped with DC motors and the 275 Wp solar panel, allowing the design and evaluation of the behavior of each structure separately. The control and automation system is centralized in an Arduino MEGA2560 microcontroller, which runs the tracking and positioning algorithms. The built prototype allows us to carry out studies of solar tracking strategies based on sensor and control systems applied to DC motors. Full article
(This article belongs to the Special Issue Process System Engineering-Brazil (PSE-BR))
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12 pages, 1826 KiB  
Article
Fed-Batch Sucrose Crystallization Model for the B Massecuite Vacuum Pan, Solution by Deterministic and Heuristic Methods
by Paulo Eduardo de Morais Gonzales, Marcos Antônio de Souza Peloso, Jr., José Eduardo Olivo and Cid Marcos Gonçalves Andrade
Processes 2020, 8(9), 1145; https://doi.org/10.3390/pr8091145 - 14 Sep 2020
Cited by 2 | Viewed by 4002
Abstract
Fed-batch crystallization is a crucial step for sugar production. In order to relate parameters that are difficult to measure (average diameter of the crystals and total mass formed) to other easier to measure parameters (volume, temperature, and concentration), a model was developed for [...] Read more.
Fed-batch crystallization is a crucial step for sugar production. In order to relate parameters that are difficult to measure (average diameter of the crystals and total mass formed) to other easier to measure parameters (volume, temperature, and concentration), a model was developed for a B massecuite vacuum pan composed of mass and energy balances together with empirical relations that describe the crystal development inside equipment. The generated system of ordinary differential equations (ODE) had eight parameters which were adjusted through minimization of relative differences between the model results and experimental data. It was solved through the function fmincon, available in MATLABTM, which is a deterministic and gradient-based optimization method. The objective of this paper is to improve the model obtained and, for this purpose, two metaheuristic functions were used: genetic algorithm and particle swarm. To compare the results, the convergence time of each algorithm was used as well as the resulting quadratic deviation. The particle swarm method was the best option among the three used, presenting a shorter execution time and lower quadratic relative deviation. Full article
(This article belongs to the Special Issue Process System Engineering-Brazil (PSE-BR))
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10 pages, 930 KiB  
Article
Water Sources Diagram and Its Applications
by Ewerton Emmanuel da Silva Calixto, Fernando Luiz Pellegrini Pessoa, Reinaldo Coelho Mirre, Flávio da Silva Francisco and Eduardo Mach Queiroz
Processes 2020, 8(3), 313; https://doi.org/10.3390/pr8030313 - 08 Mar 2020
Cited by 6 | Viewed by 4552
Abstract
Water Sources Diagram (WSD) has proved to be one of the most efficient methods to reduce industrial freshwater consumption and to provide a minimum amount of wastewater to be treated. Different types of industry have been benefited from the use of this technique, [...] Read more.
Water Sources Diagram (WSD) has proved to be one of the most efficient methods to reduce industrial freshwater consumption and to provide a minimum amount of wastewater to be treated. Different types of industry have been benefited from the use of this technique, which resulted in great savings in the design of the effluent treatment systems. Among the successful case studies, we mention herein applications in systems with wastewater treatment, thermal and water plants’ integration, oil refineries, petrochemicals, batch processes, pulp and paper plants, and textile plants. The degree of WSD maturity motivated researchers to not only improve WSD algorithms, but also extend the concept of the Sources Diagram to Source/Sink types of process. This paper presents a background of WSD progress as well as insights into future perspectives using the Sources Diagrams’ concept. Full article
(This article belongs to the Special Issue Process System Engineering-Brazil (PSE-BR))
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14 pages, 5208 KiB  
Article
Data Augmentation Applied to Machine Learning-Based Monitoring of a Pulp and Paper Process
by Andréa Pereira Parente, Maurício Bezerra de Souza Jr., Andrea Valdman and Rossana Odette Mattos Folly
Processes 2019, 7(12), 958; https://doi.org/10.3390/pr7120958 - 15 Dec 2019
Cited by 13 | Viewed by 3515
Abstract
Industrial archived process data represent a convenient source of information for data-driven models, such as artificial neural network (ANN), that can be used for safety and efficiency improvement like early or even predictive fault detection and diagnosis (FDD). Nonetheless, most of the data [...] Read more.
Industrial archived process data represent a convenient source of information for data-driven models, such as artificial neural network (ANN), that can be used for safety and efficiency improvement like early or even predictive fault detection and diagnosis (FDD). Nonetheless, most of the data used for model generation are representative of the process nominal states and therefore are not enough for classification problems intended to determine abnormal process conditions. This work proposes the use of techniques to augment the original real data standards, dismissing the need for experiments that could jeopardize process safety. It uses the Monte Carlo technique to artificially increase the number of model inputs coupled to the nearest neighbor search (NNS) by geometric distances to consistently classify the generated patterns in normal or faulty statuses. Finally, a radial basis function neural network is trained with the augmented data. The methodology was validated by a study case in which 3381 pulp and paper industrial data points were expanded to monitor the formation of particles in a recovery boiler. Only 5.8% of the original process data were examples of faulty conditions, but the new expanded and balanced data collection leveraged the classification performance of the neural network, allowing its future use for monitoring purpose. Full article
(This article belongs to the Special Issue Process System Engineering-Brazil (PSE-BR))
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