LAPSE:2021.0026
Published Article
LAPSE:2021.0026
Modeling of Spiral Wound Membranes for Gas Separations—Part II: Data Reconciliation for Online Monitoring
February 22, 2021
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
data reconciliation, membrane, monitoring, online, real-time
Suggested Citation
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. (2021). LAPSE:2021.0026
Author Affiliations
de Menezes DQF: Programa de Engenharia Química/COPPE, Universidade Federal do Rio de Janeiro, Rio de Janeiro CEP 21941-972, RJ, Brazil [ORCID]
de Sá MCC: Programa de Engenharia Química/COPPE, Universidade Federal do Rio de Janeiro, Rio de Janeiro CEP 21941-972, RJ, Brazil [ORCID]
Fontoura TB: Programa de Engenharia Química/COPPE, Universidade Federal do Rio de Janeiro, Rio de Janeiro CEP 21941-972, RJ, Brazil [ORCID]
Anzai TK: Centro de Pesquisas Leopoldo Américo Miguez de Mello—CENPES, Petrobras—Petróleo Brasileiro SA, Rio de Janeiro CEP 21941-915, RJ, Brazil
Diehl FC: Centro de Pesquisas Leopoldo Américo Miguez de Mello—CENPES, Petrobras—Petróleo Brasileiro SA, Rio de Janeiro CEP 21941-915, RJ, Brazil
Thompson PH: Centro de Pesquisas Leopoldo Américo Miguez de Mello—CENPES, Petrobras—Petróleo Brasileiro SA, Rio de Janeiro CEP 21941-915, RJ, Brazil
Pinto JC: Programa de Engenharia Química/COPPE, Universidade Federal do Rio de Janeiro, Rio de Janeiro CEP 21941-972, RJ, Brazil [ORCID]
Journal Name
Processes
Volume
8
Issue
9
Article Number
E1035
Year
2020
Publication Date
2020-08-25
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr8091035, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2021.0026
This Record
External Link

doi:10.3390/pr8091035
Publisher Version
Download
Files
Feb 22, 2021
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
294
Version History
[v1] (Original Submission)
Feb 22, 2021
 
Verified by curator on
Feb 22, 2021
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2021.0026
 
Original Submitter
Calvin Tsay
Links to Related Works
Directly Related to This Work
Publisher Version