Thermal conductivity correlations for minor constituent fluids in natural gas: n-octane, n-nonane and n-decane

Huber, Marcia L.; Perkins, Robert L.

doi:10.1016/j.fluid.2004.10.031

Cited by 30 publications

(9 citation statements)

References 39 publications

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“…For 1-octene and 1-octanol, as there are no data reported in the supercritical region near the critical density, we have considered only the first two contributions. For n-octane and isooctane, because Huber and Perkins 34 have developed the reference correlations for the thermal conductivity, considering the data in this work is outside the critical region, we only used the two first contributions of the correlations.…”

Section: Results and Correlationmentioning

confidence: 99%

Measurements of the Thermal Conductivity of n-Octane, Isooctane, 1-Octene, and 1-Octanol in the Temperature Range from 253 to 393 K at Pressures up to 30 MPa

Wang

Qiu

et al. 2019

J. Chem. Eng. Data

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Thermal conductivities of n-octane, isooctane, 1-octene, and 1-octanol were measured with a transient hot-wire apparatus. The measurements for these fluids covered a temperature range from 253 to 373 K with pressures up to 30 MPa, except for 1-octanol which covered a temperature range from 273 to 393 K. The relative expanded uncertainty with a level of confidence of 0.95 (k = 2) of the data was estimated to be better than 2.0%. The experimental values were correlated by a polynomial thermal conductivity model for each of the fluids. The average absolute percentage deviations were all within 0.3%. Comparisons between the data obtained by this work and published literature studies are also presented here.

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Section: Results and Correlationmentioning

confidence: 99%

Measurements of the Thermal Conductivity of n-Octane, Isooctane, 1-Octene, and 1-Octanol in the Temperature Range from 253 to 393 K at Pressures up to 30 MPa

Wang

Qiu

et al. 2019

J. Chem. Eng. Data

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“…In the present work the values reported by Huber and Perkins [12] and Vesovic et al [13], i.e. Γ = 0.0541 and ξ 0 = 0.194 nm are used.…”

Section: Mathematical Methodsmentioning

confidence: 99%

A Generalised Correlation Function for the Thermal Conductivity of Light Hydrocarbons at High Densities

Kermanpour

2010

Indian Chemical Engineer

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A simple correlation function for the thermal conductivity of liquid methane has been obtained. The correlation has then been extended to other light alkans such as ethane, propane and iso-butane by introducing four adjustable parameters, which are fluid dependent. The obtained correlation is applicable in the temperature range 200-400 K and the pressure range 5-20 MPa. The mean relative errors for the calculated thermal conductivities are rarely greater than 3% for all cases.

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“…For the estimation of the liquid thermal conductivity of biodiesel fuels, the Robbins Kingrea method, which is a function of the critical temperature, liquid heat capacity, liquid density, and latent heat of vaporization at the normal boiling point, was utilized by Mohamed Ismail et al Separately, Baroncini’s method was used in the work reported by Golovitchev and Yang . Meanwhile, Ra et al used similar experimental methods and group contributions methods − to estimate the liquid thermal conductivity of soybean biodiesel. The DIPPR software has also been used successfully for this purpose …”

Section: Biodiesel Thermophysical Properties Modelsmentioning

confidence: 99%

“…Thus, this method was used to predict the vapor heat capacity required for the subsequent calculations of vapor viscosity and vapor thermal conductivity . Many different approaches − were also used by Ra et al and Chakravarthy et al in order to ensure accurate estimation of the vapor heat capacity of soybean biodiesel.…”

Section: Biodiesel Thermophysical Properties Modelsmentioning

confidence: 99%

Advances in Computational Fluid Dynamics (CFD) Modeling of In-Cylinder Biodiesel Combustion

Cheng

Gan

et al. 2013

Energy Fuels

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In an effort to advance the knowledge and understanding of biodiesel combustion characteristics in compression ignition engines, computational fluid dynamics (CFD) modeling has been utilized to study the in-cylinder physical and chemical events. The development of combustion kinetics and thermophysical properties of biodiesel in CFD modeling is crucial, since both of these govern the in-cylinder combustion and emission formation processes. As such, this review reports on the advances attained within three key aspects of CFD modeling of in-cylinder biodiesel combustion. The key aspects are surrogate chemical kinetic mechanisms, mechanism reduction methods, and biodiesel thermophysical properties models. Because of the complex fuel compositions, combustion modeling of biodiesel fuel largely depends on the surrogate chemical kinetic mechanisms. Recent developments in biodiesel chemical kinetic mechanisms have shown a progression from small detailed mechanisms toward large detailed mechanisms. The main challenge facing in-cylinder biodiesel combustion modeling is the limited data available for validation of the modeling results. In order for biodiesel surrogate mechanisms to be coupled to CFD modeling, it is necessary to reduce the detailed mechanisms to manageable sizes. A number of methods are currently available for this purpose, each with its own advantages and disadvantages as reviewed here. However, detailed understanding of these reduction methods is necessary before any reduction work is carried out. In addition to the reaction kinetics in the surrogate mechanisms, successful simulation of the in-cylinder biodiesel combustion using CFD is dependent on the thermophysical properties of the fuel. The models used to determine these thermophysical properties for CFD studies, as reported in the literature, are also appraised.

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Thermal conductivity correlations for minor constituent fluids in natural gas: n-octane, n-nonane and n-decane

Cited by 30 publications

References 39 publications

Measurements of the Thermal Conductivity of n-Octane, Isooctane, 1-Octene, and 1-Octanol in the Temperature Range from 253 to 393 K at Pressures up to 30 MPa

Measurements of the Thermal Conductivity of n-Octane, Isooctane, 1-Octene, and 1-Octanol in the Temperature Range from 253 to 393 K at Pressures up to 30 MPa

A Generalised Correlation Function for the Thermal Conductivity of Light Hydrocarbons at High Densities

Advances in Computational Fluid Dynamics (CFD) Modeling of In-Cylinder Biodiesel Combustion

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