New Weighted Sum of Gray Gases (WSGG) Models for Radiation Calculation in Carbon Capture Simulations: Evaluation and Different Implementation Techniques

TL;DR

This paper evaluates and compares four recent weighted sum of gray gases models (WSGGMs) for calculating radiative absorption in gas mixtures with H2O and CO2, focusing on accuracy and implementation techniques in carbon capture simulations.

Contribution

It provides a comprehensive comparison of four new WSGGMs against the traditional model, including analysis of interpolation methods and accuracy in different combustion scenarios.

Findings

Newer WSGGMs outperform the traditional model in dry-recycle conditions.

Piecewise linear interpolation improves model predictions, especially for the air-fuel WSGGM.

Spectral line-based WSGGM serves as a reference for accuracy assessment.

Abstract

We apply several weighted sum of gray gases models (WSGGMs) to calculate the radiative absorption coefficient for gas mixtures containing H2O and CO2. Our main objectives are to analyze and compare four WSGGMs which have been recently developed for oxy-fuel combustion. The models are compared with the widely-used air-fuel WSGGM of Smith et al. In addition to direct comparison of the absorption coefficients, we compare finite-volume solutions of the radiative equation of transfer in a 2m x 2m x 4m box with a specified inhomogeneous temperature field and a homogeneous mixture of the H2O, CO2 and N2. Calculations using a spectral line-based WSGGM (SLW) are used as a reference solution to estimate the accuracy. For each WSGGM, we apply two interpolation methods for determining the model coefficients at arbitrary H2O-to-CO2 ratios. For wet-recycle oxy-fuel combustion, we found that the deviation of the air-fuel WSGGM was not significantly larger than several of the newer models. However, with dry recycle (90 vol%-CO2) the air-fuel WSGGM model underpredicts the radiative flux and radiative heat source in contrast to the other models which overpredict these fields. Piecewise linear interpolation consistently improves the predictions of the air-fuel WSGGM, but only has a modest effect on the predictions of the oxy-fuel WSGGM's.