A new line-by-line methodology based on the spectral contributions of the bands

Coelho, Felipe Ramos; Ziemniczak, Aline; Roy, S.C.; França, Francis

doi:10.1016/j.ijheatmasstransfer.2020.120423

Cited by 6 publications

(3 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recently, efforts have been made to disseminate such benchmark results separately for multidimensional enclosures [73] with a mixture of CO 2 , H 2 O, and N 2 . An adaptive LBL spectral integration scheme, which claims to reduce the computational time of LBL calculations by a factor of three to five while retaining LBL accuracy, was also recently proposed [74].…”

Section: Gas Radiative Propertiesmentioning

confidence: 99%

Modeling Thermal Radiation in Combustion Environments: Progress and Challenges

Mazumder

Roy

2023

Energies

Self Cite

View full text Add to dashboard Cite

Modeling thermal radiation in combustion environments can be extremely challenging for two main reasons. First, the radiative transfer equation (RTE), which is the cornerstone of modeling radiation in such environments, is a five-dimensional integro-differential equation. Second, the absorption and scattering coefficients of molecular gases and particulates prevalent in combustion environments oscillate strongly with the wavenumber (or wavelength), i.e., the medium is strongly nongray, requiring the solution of the RTE for a large number of wavenumbers. This article reviews the progress that has been made in this area to date with an emphasis on the work performed over the past three decades. Progress in both deterministic and stochastic (Monte Carlo) solutions of the RTE is reviewed, in addition to the review of the treatment of the spectral properties of gases, soot, and fuel droplets that dominate combustion environments, i.e., spectral or nongray models. The application of the various state-of-the-art nongray models and RTE solution methods to flames (particularly turbulent), fires, combustors, and other combustion systems are summarized along with a critical discussion of the pros and cons of the models and methods. Finally, the challenges that remain in modeling thermal radiation in combustion systems are highlighted and future outlooks are shared.

show abstract

Section: Gas Radiative Propertiesmentioning

confidence: 99%

Modeling Thermal Radiation in Combustion Environments: Progress and Challenges

Mazumder

Roy

2023

Energies

Self Cite

View full text Add to dashboard Cite

show abstract

“…In order to accurately simulate the limb infrared spectral radiance characteristics of the O 2 1.27 µm band and determine the best spectral line for detection, the line-by-line method was used to simulate the infrared spectral radiation of an O 2 molecule in the 1.27 µm band. At present, the line-by-line method is the most accurate method for calculating the absorption coefficient, and it has a high resolution and is appropriate for fine spectral line analysis [27]. Therefore, in this paper, the line-by-line method is used to calculate the limb infrared spectral radiance of O 2 at the 1.27 µm band.…”

Section: O 2 Limb Spectral Radiancementioning

confidence: 99%

“…where α L is the Lorentz half width, and α D is the Doppler half width. The Lorentz halfwidth α L is expressed as [27]:…”

Section:  mentioning

confidence: 99%

Analysis of Infrared Spectral Radiance of O2 1.27 μm Band Based on Space-Based Limb Detection

Bai,

et al. 2023

Remote Sensing

View full text Add to dashboard Cite

The infrared spectral radiance of O2 is of great significance for space-based infrared detection. In this work, based on the demand for near-infrared spectral radiance of O2 limb detection, a method of spectral radiance calculation coupled with an atmospheric remote sensing model of limb detection is proposed. According to the selection criteria of fine spectral lines, the most suitable spectral lines of the O2 1.27 μm band for detection are given. Specifically, the limb infrared radiances of the O2 1.27 μm band were simulated by using the spectral line data from the spectral database, and the effects of molecular self-absorption were also considered. Furthermore, the infrared spectral radiance distribution of the O2 1.27 μm band was simulated under the influence of altitude, and finally, the detectability of the 1.27 μm band of O2 molecules was analyzed using the criteria of spectral line selection, radiance intensity, spectral separation range and temperature sensitivity. The calculation results show that the spectral radiance of the 1.27 μm band of O2 molecules first increases and then decreases with the decrease of the limb height, and the radiance reaches the peak value in the range of 40–50 km. In terms of the selection of spectral lines, the two groups of spectral lines R7R7, R7Q8 and R11R11, R11Q12 are most suitable for the limb detection and measurement of the O2 1.27 μm band.

show abstract