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Volume 8
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10.3390/pr8091035
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Article

Modeling of Spiral Wound Membranes for Gas Separations—Part II: Data Reconciliation for Online Monitoring

by
Diego Queiroz Faria de Menezes
1,*,
Marília Caroline Cavalcante de Sá
1,
Tahyná Barbalho Fontoura
1,
Thiago Koichi Anzai
2,
Fabio Cesar Diehl
2,
Pedro Henrique Thompson
2 and
Jose Carlos Pinto
1
1
Programa de Engenharia Química/COPPE, Universidade Federal do Rio de Janeiro, Rio de Janeiro CEP 21941-972, RJ, Brazil
2
Centro de Pesquisas Leopoldo Américo Miguez de Mello—CENPES, Petrobras—Petróleo Brasileiro SA, Rio de Janeiro CEP 21941-915, RJ, Brazil
*
Author to whom correspondence should be addressed.
Processes 2020, 8(9), 1035; https://doi.org/10.3390/pr8091035
Submission received: 24 July 2020 / Revised: 10 August 2020 / Accepted: 19 August 2020 / Published: 25 August 2020
(This article belongs to the Special Issue Advanced Process Monitoring for Industry 4.0)
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Abstract

The present work presents a methodology based on data reconciliation to monitor membrane separation processes reliably, online and in real time for the first time. The proposed methodology was implemented in accordance with the following steps: data acquisition; data pre-treatment; data characterization; data reconciliation; gross error detection; and critical evaluation of measured data with a soft sensor. The acquisition of data constituted the slowest stage of the monitoring process, as expected in real-time applications. The pre-treatment stage was fundamental to assure the robustness of the code and the initial characterization of collected data was carried out offline. The characterization of the data showed that steady-state modeling of the process would be appropriate, also allowing the implementation of faster numerical procedures for the data reconciliation step. The data reconciliation step performed well, quickly and consistently. Thus, data reconciliation allowed the estimation of unmeasured variables, playing the role of a soft sensor and allowing the future installation of a digital twin. Additionally, monitoring of measurement bias constituted a tool for measurement diagnosis. As shown in the manuscript, the proposed methodology can be successfully implemented online and in real time for monitoring of membrane separation processes, as shown through a real dashboard web application developed for monitoring of an actual industrial site.
Keywords: membrane; data reconciliation; real-time; online; monitoring membrane; data reconciliation; real-time; online; monitoring

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MDPI and ACS Style

de Menezes, D.Q.F.; de Sá, M.C.C.; Fontoura, T.B.; Anzai, T.K.; Diehl, F.C.; Thompson, P.H.; Pinto, J.C. Modeling of Spiral Wound Membranes for Gas Separations—Part II: Data Reconciliation for Online Monitoring. Processes 2020, 8, 1035. https://doi.org/10.3390/pr8091035

AMA Style

de Menezes DQF, de Sá MCC, Fontoura TB, Anzai TK, Diehl FC, Thompson PH, Pinto JC. Modeling of Spiral Wound Membranes for Gas Separations—Part II: Data Reconciliation for Online Monitoring. Processes. 2020; 8(9):1035. https://doi.org/10.3390/pr8091035

Chicago/Turabian Style

de Menezes, Diego Queiroz Faria, Marília Caroline Cavalcante de Sá, Tahyná Barbalho Fontoura, Thiago Koichi Anzai, Fabio Cesar Diehl, Pedro Henrique Thompson, and Jose Carlos Pinto. 2020. "Modeling of Spiral Wound Membranes for Gas Separations—Part II: Data Reconciliation for Online Monitoring" Processes 8, no. 9: 1035. https://doi.org/10.3390/pr8091035

APA Style

de Menezes, D. Q. F., de Sá, M. C. C., Fontoura, T. B., Anzai, T. K., Diehl, F. C., Thompson, P. H., & Pinto, J. C. (2020). Modeling of Spiral Wound Membranes for Gas Separations—Part II: Data Reconciliation for Online Monitoring. Processes, 8(9), 1035. https://doi.org/10.3390/pr8091035

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