The Joule-Thomson Effect in Nitrogen

Roebuck, J. R.; Osterberg, Harold

doi:10.1103/physrev.48.450

Cited by 62 publications

(22 citation statements)

References 8 publications

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“…Based on the obtained results, GERG-2008, AGA8-92DC, and PR EoSs provide nearly the same results for nitrogen JTIC. The predictions of these three EoSs are of high satisfaction with the experimental data, 17 , 19 except that the maximum inversion pressure and its corresponding temperature are slightly different. The calculations of μ JT and JTIC from the three equations show that the order of good prediction is GERG-2008 > AGA8-2008 > PR equation.…”

Section: Resultssupporting

confidence: 66%

“…At present, most of the research studies on the Joule–Thomson effect focus on pure substances such as N 2 , CO 2 , H 2 , Ar, He, CH 4 , C 2 H 2 , etc. 17 − 27 Also, there are also a small number of binary and ternary mixtures’ Joule–Thomson effect reports. 28 − 31 For binary systems, only (CO 2 + CH 4 ) 32 and (CO 2 + Ar) 33 systems that contain the components relevant to CCS have been reported.…”

Section: Introductionmentioning

confidence: 99%

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Joule–Thomson Effect on a CCS-Relevant (CO₂ + N₂) System

et al. 2021

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The Joule–Thomson effect is a key chemical thermodynamic property that is encountered in several industrial applications for CO 2 capture and storage (CCS). An apparatus was designed and built for determining the Joule–Thomson effect. The accuracy of the device was verified by comparing the experimental data with the literature on nitrogen and carbon dioxide. New Joule–Thomson coefficient (μ JT ) measurements for three binary mixtures of (CO 2 + N 2 ) with molar compositions x N 2 = (0.05, 0.10, 0.50) were performed in the temperature range between 298.15 and 423.15 K and at pressures up to 14 MPa. Three equations of state (GERG-2008 equation, AGA8-92DC, and the Peng–Robinson) were used to calculate the μ JT compared with the corresponding experimental data. All of the equations studied here except PR have shown good prediction of μ JT for (CO 2 + N 2 ) mixtures. The relative deviations with respect to experimental data for all (CO 2 + N 2 ) mixtures from the GERG-2008 were within the ±2.5% band, and the AGA8-DC92 EoSs were within ±3%. The Joule–Thomson inversion curve (JTIC) has also been modeled by the aforementioned EoSs, and a comparison was made between the calculated JTICs and the available literature data. The GERG-2008 and AGA8-92DC EoSs show good agreement in predicting the JTIC for pure CO 2 and N 2 . The PR equation only matches well with the JTIC for pure N 2 , while it gives a poor prediction for pure CO 2 . For the (CO 2 + N 2 ) mixtures, the three equations all give similar results throughout the full span of JTICs. The temperature and pressure of the transportation and compression conditions in CCS are far lower than the corresponding predicted P inv,max and T inv,max for (CO 2 + N 2 ) mixtures.

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Section: Resultssupporting

confidence: 66%

Section: Introductionmentioning

confidence: 99%

Joule–Thomson Effect on a CCS-Relevant (CO₂ + N₂) System

et al. 2021

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“…Unfortunately, the accuracy and availability of experimental data tends to diminish drastically near the inversion curve. Typically, numerous measurements of PVT data at difficult conditions are necessary to locate JT inversion points [6]. Equations of state (EoS) provide an alternative means to compute isoenthalps, PVT data, and JT inversion curves.…”

Section: F a Escobedo A N D 2 Chenmentioning

confidence: 99%

Simulation of Isoenthalps and Joule-Thomson Inversion Curves of Pure Fluids and Mixtures

Escobedo

Chen

2001

Molecular Simulation

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This paper examines the molecular simulation of expansion and compression processes of fluids under common non-isothermal conditions. It is shown that accurate isoenthalps can be traced if simulated configurational properties obtained from the particular molecular force-field adopted are complemented by experimentally-based data for the ideal-gas contributions to the heat capacity. The simulation of inversion curves is also analyzed and found to be particularly challenging as conventional extrapolation techniques have limited applicability. Several approaches were investigated to overcome such difficulties including (1) simulation of several isobars and isoenthalps, (2) thermodynamic integration, and (3) histogram reweighting techniques. Contrary to the results of a recent study, our calculations show that the Johnson et al., equation of state does provide a good description of the inversion curve for the Lennard-Jones fluid. Isoenthalps and the inversion curve for a model gas condensate mixture were also simulated; calculations of this sort could be used to identify conditions at which isoenthalpic decompression leads to heating of hydrocarbon reservoir fluids.

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“…They performed the porous plug experiment to study the change of temperature with change of pressure of a gas at constant enthalpy. Roebuck and co-workers [1] and Sage and coworkers [2] studied the J-T effect experimentally and obtained J-T coefficients for inorganic gases and organic compounds. The theoretical prediction of J-T inversion curve is well known as an extremely severe test of an EoS.…”

Section: Introductionmentioning

confidence: 99%

Joule-Thomson coefficients and inversion curves from newly developed cubic equations of state

Akhouri

Kaur²

2019

Eur J Chem

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In this work, we have generalized different parametric forms of cubic equations of state (EoSs) to predict complete Joule-Thomson (J-T) inversion curves for methane at wide temperature and pressure ranges. EoSs of the Soave-Redlich-Kwong (SRK), Peng-Robinson (PR), Patel-Teja (PT), Esmaeilzadeh-Roshanfekr (ER) and the Hagtalab-Kamali-Mazloumi-Mahmoodi (HKMM) along with frequently used cohesion functions α(Tr) have been considered for plot of J-T inversion curves. The PR EoS along with different cohesion functions such as those of the Soave, Antonin Chapoy and the Tau-Sim-Tassone have been also tested for accurate prediction of the inversion curves. The four parametric EoSs of Adachi-Lu-Sugie (ALS), and Lawal-Lake-Silberberg (LLS) with their associated cohesion functions have been used for the prediction of J-T inversion curves. It has been observed that for the plot of inversion curves the LLS EoS is inadequate while the ER EoS agrees well with the previous measurements made in Laboratory. Besides, the J-T coefficient measurements from EoSs have been made for carbon dioxide and nitrogen gases at temperatures from 273.15 to 473.15 K and at pressures from 10 to 1000 atm, respectively. The uncertainties of experimental J-T coefficients data of carbon dioxide from values calculated using EoSs at constant pressure of 1 atm and 20 atm and with varying temperatures have been studied.

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The Joule-Thomson Effect in Nitrogen

Cited by 62 publications

References 8 publications

Joule–Thomson Effect on a CCS-Relevant (CO₂ + N₂) System

Joule–Thomson Effect on a CCS-Relevant (CO₂ + N₂) System

Simulation of Isoenthalps and Joule-Thomson Inversion Curves of Pure Fluids and Mixtures

Joule-Thomson coefficients and inversion curves from newly developed cubic equations of state

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The Joule-Thomson Effect in Nitrogen

Cited by 62 publications

References 8 publications

Joule–Thomson Effect on a CCS-Relevant (CO2 + N2) System

Joule–Thomson Effect on a CCS-Relevant (CO2 + N2) System

Simulation of Isoenthalps and Joule-Thomson Inversion Curves of Pure Fluids and Mixtures

Joule-Thomson coefficients and inversion curves from newly developed cubic equations of state

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Product

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Joule–Thomson Effect on a CCS-Relevant (CO₂ + N₂) System

Joule–Thomson Effect on a CCS-Relevant (CO₂ + N₂) System