Updated band model parameters for H2O, CO2, CH4 and CO radiation at high temperature

Rivière, Philippe; Soufiani, Anouar

doi:10.1016/j.ijheatmasstransfer.2012.03.019

Cited by 193 publications

(104 citation statements)

References 33 publications

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“…The wall radiative heat flux that depends on flue gas and wall temperatures is evaluated from tabulated values determined by the resolution of the Radiative Transfer Equation (RTE) with a discrete ordinate method [17], considering the model of radiative properties of burned gases (water vapour and carbon dioxide) of [18] and the model of radiative properties of soot particles of [17]. The wall radiative heat flux versus vertical position for several flue gas temperatures and soot volume fractions, in the range 600-1000 °C and 1-10 ppm respectively, is presented in Figure 7.…”

Section: Energetic Model Of the Heat Exchangermentioning

confidence: 99%

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Energetic and Exergetic Analysis of a Heat Exchanger Integrated in a Solid Biomass-Fuelled Micro-CHP System with an Ericsson Engine

Creyx

Delacourt

Morin

et al. 2016

Entropy

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Abstract:A specific heat exchanger has been developed to transfer heat from flue gas to the working fluid (hot air) of the Ericsson engine of a solid biomass-fuelled micro combined heat and power (CHP). In this paper, the theoretical and experimental energetic analyses of this heat exchanger are compared. The experimental performances are described considering energetic and exergetic parameters, in particular the effectiveness on both hot and cold sides. A new exergetic parameter called the exergetic effectiveness is introduced, which allows a comparison between the real and the ideal heat exchanger considering the Second Law of Thermodynamics. A global analysis of exergetic fluxes in the whole micro-CHP system is presented, showing the repartition of the exergy destruction among the components.

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Section: Energetic Model Of the Heat Exchangermentioning

confidence: 99%

“…Hence, the thermal power transmitted across the heat exchanger can be approximated by P th " U approximate A air`Tgas´Tair˘. Inserting Equation (18) in this equation leads to an estimation of the global heat exchange coefficient:…”

Section: )mentioning

confidence: 99%

Energetic and Exergetic Analysis of a Heat Exchanger Integrated in a Solid Biomass-Fuelled Micro-CHP System with an Ericsson Engine

Creyx

Delacourt

Morin

et al. 2016

Entropy

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“…Depending on the method for averaging the lines in the band, various types of models are formed. SNB model parameters are updated with the latest spectroscopic databases and empirical spectroscopic measurements [40,41]. The average SNB band transmissivity of a gas is expressed as follows [42]:…”

Section: Snb Modelmentioning

confidence: 99%

Influence of temperature on synthetic data-based calibration models for low resolution open-path FTIR spectroscopy

Cięszczyk¹

2014

Bulletin of the Polish Academy of Sciences: Technical Sciences

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Abstract. This article presents the problem of determining the gas concentration under conditions of changing temperatures. The solution to this problem is based on spectral measurements using chemometric models. Such problems arise when measuring gases during various industrial processes, mainly the pyrolysis process. Chemometric models are built using synthetic calibration data. Line-by-line and statistical models were applied for spectra modelling. The effect of temperature on extracting the gas concentration from spectra of various resolutions was determined. Next, the global model was built and tested using calibration data for specific temperature ranges. The properties of the linear and nonlinear partial least-squares (PLS) models that were applied to the considered issues were demonstrated. CO and CH4 were used as example gases.

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“…The spectrum can be modeled using line-by-line methods, such as HITEMP [14] or the simplest narrow-band models. These narrow-band models, such as statistical narrowband (SNB) signicantly reduce the computational eort and their parameters are determined from recent spectroscopic databases [15]. A simpler and faster forward model reduces the amount and time of the iterative process computation required to determine the solution [16].…”

Section: Introductionmentioning

confidence: 99%

Non-Luminous Flame Temperature Determination Method Based on CO₂Radiation Intensity

Cięszczyk

2014

Acta Phys. Pol. A

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A new method for estimating the temperature of non-luminous ames is presented. The spectral radiation intensity emitted from uniform or temperature-axisymmetric CO2 gas is simulated. A new inversion scheme that utilizes intensity ratios instead of directly spectral intensities is applied. This technique eliminates the errors caused by inaccuracies in the absolute radiation intensity that result from both calibration and on-site measurement. For example, this situation can occur when a spectrometer acquires radiance within only a part of its eld of view. Neural networks are used as inverse models. The proposed inversion approach shows good results with simulated data. The analysis of example measured emission spectra from practical ames is also demonstrated.

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Updated band model parameters for H2O, CO2, CH4 and CO radiation at high temperature

Cited by 193 publications

References 33 publications

Energetic and Exergetic Analysis of a Heat Exchanger Integrated in a Solid Biomass-Fuelled Micro-CHP System with an Ericsson Engine

Energetic and Exergetic Analysis of a Heat Exchanger Integrated in a Solid Biomass-Fuelled Micro-CHP System with an Ericsson Engine

Influence of temperature on synthetic data-based calibration models for low resolution open-path FTIR spectroscopy

Non-Luminous Flame Temperature Determination Method Based on CO₂Radiation Intensity

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Updated band model parameters for H2O, CO2, CH4 and CO radiation at high temperature

Cited by 193 publications

References 33 publications

Energetic and Exergetic Analysis of a Heat Exchanger Integrated in a Solid Biomass-Fuelled Micro-CHP System with an Ericsson Engine

Energetic and Exergetic Analysis of a Heat Exchanger Integrated in a Solid Biomass-Fuelled Micro-CHP System with an Ericsson Engine

Influence of temperature on synthetic data-based calibration models for low resolution open-path FTIR spectroscopy

Non-Luminous Flame Temperature Determination Method Based on CO2Radiation Intensity

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Product

Resources

About

Non-Luminous Flame Temperature Determination Method Based on CO₂Radiation Intensity