New pressurized WSGG model and the effect of pressure on the radiation heat transfer of H2O/CO2 gas mixtures

Shan, Shiquan; Qian, Bin; Zhou, Zhijun; Wang, Zhihua; Cen, Kefa

doi:10.1016/j.ijheatmasstransfer.2018.01.079

Cited by 56 publications

(24 citation statements)

References 48 publications

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“…This method has been applied in the calculation of the one-dimensional radiative heat flux. [ 38 , 39 ]…”

Section: Thermodynamic Analysis Of Spectral Radiation Transfermentioning

confidence: 99%

“…The one-dimensional length L is 1 m and is divided into 100 grids. The plate is a black body wall with a temperature of 1000 K; the one-dimensional temperature distribution is [ 38 ]:

…”

Section: One-dimensional Cases Studiesmentioning

confidence: 99%

“…The radiative exergy represented by the transfer Equation (9) is discretely solved at each grid point. The specific process is same as the solution of the one-dimensional radiation transfer equation in our latest published research [ 38 , 39 ] and the procedure is written by Fortran code. The radiation exergy flux in the radiation field is calculated according to the radiative exergy transfer equation:

…”

Section: One-dimensional Cases Studiesmentioning

confidence: 99%

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Second Law Analysis of Spectral Radiative Transfer and Calculation in One-Dimensional Furnace Cases

Shan

Zhou

2019

Entropy

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This study combines the radiation transfer process with the thermodynamic second law to achieve more accurate results for the energy quality and its variability in the spectral radiation transfer process. First, the core ideas of the monochromatic photon exergy theory based on the equivalent temperature and the infinite-staged Carnot model are reviewed and discussed. Next, this theory is combined with the radiation transfer equation and thus the spectral radiative entropy and the radiative exergy transfer equations are established and verified based on the second law of thermodynamics. Finally, one-dimensional furnace case calculations are performed to determine the applicability to engineering applications. It is found that the distribution and variability of the spectral radiative exergy flux in the radiation transfer process can be obtained using numerical calculations and the scatter media could slightly improve the proportion of short-wavelength radiative exergy during the radiation transfer process. This has application value for research on flame energy spectrum-splitting conversion systems.

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“…This method has been applied in the calculation of the one-dimensional radiative heat flux. [ 38 , 39 ]…”

Section: Thermodynamic Analysis Of Spectral Radiation Transfermentioning

confidence: 99%

“…The one-dimensional length L is 1 m and is divided into 100 grids. The plate is a black body wall with a temperature of 1000 K; the one-dimensional temperature distribution is [ 38 ]:

…”

Section: One-dimensional Cases Studiesmentioning

confidence: 99%

…”

Section: One-dimensional Cases Studiesmentioning

confidence: 99%

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Second Law Analysis of Spectral Radiative Transfer and Calculation in One-Dimensional Furnace Cases

Shan

Zhou

2019

Entropy

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“…In Equation , p is pressure and an atmospheric pressure of 0.1 MPa is used here; l is the path length and l = 3.6 V / F , where V is the furnace volume and F is the furnace wall area; κ is the flame radiation extinction coefficient:

κ = κ_{g} r_{g} + κ_{ah} μ_{ah} + κ_{ch} x_{1} x_{2},

where κ g is the gas extinction coefficient, which is calculated using the weighted sum of gray gases (WSGG) model; in this study, r g is the radiative gas volume fraction; κ ah is the fly ash extinction coefficient, which is estimated as

κ_{ah} = 55900 / \sqrt[3]{T_{g}^{2} d_{ah}^{2}}

, where d ah is the ash particle diameter, which is set as 13 μm; μ ah is the fly ash concentration; κ ch is the coal char extinction coefficient, which is set as 10 (m MPa) −1 , x 1 = 1 for anthracite, x 1 = 0.5 for lignite and bituminous coal, and x 2 = 0.1 for pulverized coal furnace. The estimation method and parameters of fly ash extinction coefficient are all based on Bauer…”

Section: Experiments and Modelsmentioning

confidence: 99%

“…where κ g is the gas extinction coefficient, which is calculated using the weighted sum of gray gases (WSGG) model 46,47 ; in this study, r g is the radiative gas volume fraction; κ ah is the fly ash extinction coefficient, which is estimated as κ ah = 55900= ffiffiffiffiffiffiffiffiffiffiffi ffi T 2 g d 2 ah 3 q , where d ah is the ash particle diameter, which is set as 13 μm; μ ah is the fly ash concentration; κ ch is the coal char extinction coefficient, which is set as 10 (m MPa) −1 , x 1 = 1 for anthracite, x 1 = 0.5 for lignite and bituminous coal, and x 2 = 0.1 for pulverized coal furnace. The estimation method and parameters of fly ash extinction coefficient are all based on Bauer.…”

Section: Boiler Modelmentioning

confidence: 99%

A novel flame energy grading conversion system: Preliminary experiment and thermodynamic parametric analysis

et al. 2019

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Summary The focus of this study is to improve the efficiency of the thermal power cycle from the perspective of photo energy and thermal energy grading conversion. A new concept of combined radiation and heat engine model was proposed to establish a novel flame energy grading conversion system based on photovoltaic conversion and the Rankine cycle. From the perspective of energy utilization, the spectral radiative energy characteristics in oxy‐coal combustion were experimentally investigated, and a preliminary thermodynamic model of the new system was established based on the experimental results. Finally, energy and exergy analyses were conducted to determine the general characteristics of the proposed system and assess the improvements to the Rankine cycle. The results indicated that temperature was the main factor affecting the short‐waveband energy ratio. Compared with the Rankine cycle, the new flame energy grading conversion system improved the system efficiency by about 3.5%. The exergy analysis indicated that the proposed system reduced the exergy loss factor in the heat transfer of the boiler by about 3% to 6%. This study provides references for improving the thermal power cycle efficiency.

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A full spectrum k ‐distribution‐based weighted‐sum‐of‐gray‐gases model for pressurized oxy‐fuel combustion

et al. 2020

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Summary Pressurized oxy‐fuel combustion is expected to increase combustion efficiency and substantially reduce costs of carbon capture. The gas radiative property in pressurized oxy‐fuel combustion is significantly different from atmospheric oxy‐fuel combustion and the air‐fuel combustion. In this study, an extension and improvement to previous weighed sum of gray gases (WSGG) model have been provided for pressurized oxy‐fuel combustion, based on the latest implementation for the correlated k‐values. The model is valid for the pressure between 1 and 30 bar, temperature between 600 and 2500 K, and mole ratio of H2O to CO2 between 0.05 and 4.0. The new pressurized WSGG model is extensively validated using the line‐by‐line solution with HITEMP 2010 database, in terms of the gas emissivity and radiative source term. The average relative error of radiative source term is less than 8% in non‐isothermal inhomogeneous gas mixture at elevated pressures. The results of radiative heat flux on the wall show that the heat transfer efficiency in non‐isothermal condition is much lower than that in isothermal condition beyond the pressure path length of 10 bar·m, due to the self‐absorption of the gas mixture.

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New pressurized WSGG model and the effect of pressure on the radiation heat transfer of H2O/CO2 gas mixtures

Cited by 56 publications

References 48 publications

Second Law Analysis of Spectral Radiative Transfer and Calculation in One-Dimensional Furnace Cases

Second Law Analysis of Spectral Radiative Transfer and Calculation in One-Dimensional Furnace Cases

A novel flame energy grading conversion system: Preliminary experiment and thermodynamic parametric analysis

A full spectrum k ‐distribution‐based weighted‐sum‐of‐gray‐gases model for pressurized oxy‐fuel combustion

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