燃煤全氧锅炉辐射传热加权灰色气体和模型的建立

Vitali Kez, J. Consalvi, Fengshan Liu, M. Koch, O. Hatzfeld, R. Kneer
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引用次数: 1

摘要

Cassol等人(2014)将“乘法”方法引入到含有煤/炭和灰颗粒的气体-颗粒混合物中,并在加权灰色气体和(WSGG)模型的背景下对其辐射特性进行建模。在这种方法中,每个辐射物种被认为是独立的。该精度是在一个二维方形几何图形中评估的,该几何图形代表了具有湿氧燃料条件的燃煤炉的燃烧器后区域。提出的非灰色气粒WSGG模型对辐射源项和净壁面热通量的预测平均相对误差小于14%。使用普朗克平均值计算粒子吸收会导致更高的误差。然而,将Bordbar等人(2014)的非灰色WSGG气体参数集与提出的非灰色WSGG粒子模型结合使用,可以显著降低最大误差,平均相对误差低于7%,并减少了相关的计算工作量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a Weighted-Sum-of-Gray-Gases Model for Modeling Radiative Heat Transfer in Coal-Fired Oxy-Fuel Boilers
The “multiplication” approach of Cassol et al. (2014) is introduced to gas-particle mixtures with coal/char and ash particles in the context of the Weighted-Sum-of-Gray-Gases (WSGG) model for modelling their radiative properties. Each radiating species is considered independent in this approach. The accuracy is assessed in a 2D square geometry representing the post-burner region of a coal-fired furnace with wet oxy-fuel conditions. The proposed non-gray gas-particle WSGG model predicts the radiative source terms and net wall heat fluxes with the mean relative errors less than 14 %. The use of Planck-mean values for particle absorption leads to higher errors. However, applying the non-gray WSGG gas parameter set of Bordbar et al. (2014) in conjunction with the proposed non-gray WSGG particle model significantly reduces the maximum errors, with the mean relative errors lower than 7 %, and the associated computational effort.
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