Experimental Identification of the <sup>13</sup>C Isotope Separation Process by Cryogenic Distillation on a Two-Column Separation Cascade

Ioan, Abrudean Mihail; Ungureşan, Mihaela-Ligia; Silaghi, Helga; Mureşan, Vlad; Codoban, Adrian

doi:10.1109/emes.2019.8795184

Cited by 2 publications

(3 citation statements)

References 13 publications

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“…In (10), K I represents the proportionality constant used for the initial compensation of the output signal steady state value due to the usage of the fractional-order model for modeling the behavior of the separation process associated with SC2. In the previous system of equations, two of them are differential Equations ( 8) and (10), respectively, and two of them are algebraic Equations ( 9) and (11). In (10), the D β t (Z 20 (t)) notation signifies the fractional-order derivative of β order (in this case, β ∈ R and 0.5 < β < 1), in relation to time, of the Z 20 (t) signal.…”

Section: The Proposed Mathematical Modelmentioning

confidence: 99%

“…In order to make decisions that will not affect the separation process, the 18 O separation productive installation must be supervised from a distance due to its response time and time constant of hundreds of hours [8]. The professionals who designed the technical process and who may monitor it remotely have the possibility to intervene to make the necessary adjustments [9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

“…The determination of the system of Equations ( 8)- (11), which describes the separation cascade behavior in a dynamical regime. As results from (10), the proposed mathematical model is a fractional-order one.…”

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confidence: 99%

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Remote Monitoring the Parameters of Interest in the 18O Isotope Separation Technological Process

et al. 2023

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This manuscript presents the remote monitoring of the main parameters in the 18O isotope separation technological process. It proposes to monitor the operation of the five cracking reactors in the isotope production system, respectively, the temperature in the preheating furnaces, the converter reactors and the cracking reactors. In addition, it performs the monitoring of the two separation columns from the separation cascade structure, respectively, the concentrations of the produced 18O isotope and the input nitric oxides flows. Even if the production process is continuously monitored by teams of operators, the professionals who designed the technical process and those who can monitor it remotely have the possibility to intervene with the view of making the necessary adjustments. Based on the processing of experimental data, which was gathered from the actual plant, the proposed original model of the separation cascade functioning was developed. The process computer from the monitoring system structure runs the proposed mathematical model in parallel with the real plant and estimates several signal values, which are essential to be known by the operators in order to make the appropriate decisions regarding the plant operation. The separation process associated with the final separation column from the separation cascade structure is modeled as a fractional-order process with variable and adjustable differentiation order, which represents another original aspect. Neural networks have been employed in order to implement the proposed mathematical model. The accuracy, validity and efficiency in the operation of the proposed mathematical model is demonstrated through the simulation results presented in the final part of the manuscript.

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Section: The Proposed Mathematical Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Remote Monitoring the Parameters of Interest in the 18O Isotope Separation Technological Process

et al. 2023

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A mechanism-data hybrid-driven framework for identifying dynamic characteristic of actual chemical processes

Li,

Yang,

Deng

et al. 2023

Chemical Engineering Research and Design

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Experimental Identification of the ¹³C Isotope Separation Process by Cryogenic Distillation on a Two-Column Separation Cascade

Cited by 2 publications

References 13 publications

Remote Monitoring the Parameters of Interest in the 18O Isotope Separation Technological Process

Remote Monitoring the Parameters of Interest in the 18O Isotope Separation Technological Process

A mechanism-data hybrid-driven framework for identifying dynamic characteristic of actual chemical processes

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Experimental Identification of the 13C Isotope Separation Process by Cryogenic Distillation on a Two-Column Separation Cascade

Cited by 2 publications

References 13 publications

Remote Monitoring the Parameters of Interest in the 18O Isotope Separation Technological Process

Remote Monitoring the Parameters of Interest in the 18O Isotope Separation Technological Process

A mechanism-data hybrid-driven framework for identifying dynamic characteristic of actual chemical processes

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Product

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Experimental Identification of the ¹³C Isotope Separation Process by Cryogenic Distillation on a Two-Column Separation Cascade