High-speed density measurement for LNG and other cryogenic fluids using electrical capacitance tomography

Hunt, Andrew; Rusli, Ijhar; Schakel, Menne; Kenbar, Asaad

doi:10.1016/j.cryogenics.2020.103207

Cited by 10 publications

(4 citation statements)

References 15 publications

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“…The positive problem of ECT can be summarized as the process of solving the sensitivity matrix in the measured area and the capacitance between each electrode by applying external excitation under the premise of known sensor structure, excitation/measurement mode and media distribution in the measured area. The capacitance value between any two electrodes can be obtained by the following equation [9][10][11] :…”

Section: Basic Principles Of the Ectmentioning

confidence: 99%

Motion detection of swirling multiphase flow in annular space based on electrical capacitance tomography

Zhao,

Liao,

Chen

2024

International Conference on Computer Application and Information Security (ICCAIS 2023)

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Section: Basic Principles Of the Ectmentioning

confidence: 99%

Motion detection of swirling multiphase flow in annular space based on electrical capacitance tomography

Zhao,

Liao,

Chen

2024

International Conference on Computer Application and Information Security (ICCAIS 2023)

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“…The potential application of electrical capacitance volume tomography (ECVT) to cryogenic cases was also evaluated by us, using numerical experiments [21], in which the essential roles of the shifted plane and the axial guard electrode play in ECVT were verified. Recently, Hunt et al [22] conducted a pioneering cryogenic experiment to measure the density of the LN 2 -VN 2 flow based on the eight-electrode ECT system. The ECT sensor in their alternative experiment can provide images of non-conducting inclusions in the flow, representing gas bubbles at room temperature.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Landweber Coupled Least Square Support Vector Regression Algorithm for Electrical Capacitance Tomography for LN2–VN2 Flow

Tian,

Gao,

Xia

et al. 2023

Energies

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The electric capacitance tomography (ECT) technique has been widely used in phase distribution reconstruction, while the practical application raised nonideal noise and other errors for cryogenic conditions, requiring a more accurate algorithm. This paper develops a new image reconstruction algorithm for ECT by coupling the traditional Landweber algorithm with the least square support vector regression (LSSVR) for cryogenic fluids. The performance of the algorithm is quantitatively evaluated by comparing the inversion images with the experimental results for both the room temperature working medium with the dielectric constant ratio close to cryogenic fluid and the cryogenic fluid of liquid nitrogen/nitrogen vapor (LN2-VN2). The inversion images based on the conventional LBP and Landweber algorithms are also presented for comparison. The benefits and drawbacks of the developed algorithms are revealed and discussed, according to the results. It is demonstrated that the correlated coefficients of the images based on the developed algorithm reach more than 0.88 and a maximum of 0.975. In addition, the minimum void fraction error of the algorithm is reduced to 0.534%, which indicates the significant optimization of the LSSVR coupled method over the Landweber algorithm.

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“…Fluids also consist of a huge number of particles, and one way to write the dynamical model of a fluid is to consider a space partitioned into individual cells with states being defined as the densities of the fluid inside each cell. In this case, the average state would be the average density in the system: this density can indeed be measured for cryogenic fluids by measuring permittivity by a technique called electrical capacitance tomography [23].…”

Section: Introductionmentioning

confidence: 99%

Control of Average and Deviation in Large-Scale Linear Networks

Nikitin

Canudas‐de‐Wit

Frasca

2022

IEEE Trans. Automat. Contr.

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This paper deals with the problem of controlling the average state of a large-scale linear network to a constant reference value. We design an output-feedback controller such that no information about state vector or system matrices is needed. For this controller to have arbitrary positive gains, it is sufficient that only a sign condition on system matrices should be satisfied. To assure that the states of the network are close to the average state, the problem of deviation minimization is solved in addition, using a novel extremum seeking algorithm.

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High-speed density measurement for LNG and other cryogenic fluids using electrical capacitance tomography

Cited by 10 publications

References 15 publications

Motion detection of swirling multiphase flow in annular space based on electrical capacitance tomography

Motion detection of swirling multiphase flow in annular space based on electrical capacitance tomography

Evaluation of Landweber Coupled Least Square Support Vector Regression Algorithm for Electrical Capacitance Tomography for LN2–VN2 Flow

Control of Average and Deviation in Large-Scale Linear Networks

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