Numerical model for static chamber measurement of multi-component landfill gas emissions and its application

Haijian Xie; Xinru Zuo; Yunmin Chen; Huaxiang Yan; Junjun Ni

doi:10.1007/s11356-022-20951-2

Numerical model for static chamber measurement of multi-component landfill gas emissions and its application

Environ Sci Pollut Res Int. 2022 Oct;29(49):74225-74241. doi: 10.1007/s11356-022-20951-2. Epub 2022 May 30.

Authors

Haijian Xie^{1

2}, Xinru Zuo^{1

2}, Yunmin Chen^{1

2}, Huaxiang Yan^{3

4}, Junjun Ni⁵

Affiliations

¹ MOE Key Laboratory of Soft Soils and Geoenvironmental Engineering, Zhejiang University, Hangzhou, 310058, China.
² Center for Balance Architecture, Zhejiang University, 148 Tianmushan Road, Hangzhou, 310007, China.
³ MOE Key Laboratory of Soft Soils and Geoenvironmental Engineering, Zhejiang University, Hangzhou, 310058, China. huaxiang.yan@manchester.ac.uk.
⁴ Department of Mechanical, Aerospace and Civil Engineering, School of Engineering, The University of Manchester, Manchester, M13 9PL, UK. huaxiang.yan@manchester.ac.uk.
⁵ Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, People's Republic of China.

Abstract

The quantitative assessment of landfill gas emissions is essential to assess the performance of the landfill cover and gas collection system. The relative error of the measured surface emission of landfill gas may be induced by the static flux chamber technique. This study aims to quantify effects of the size of the chamber, the insertion depth, pressure differential on the relative errors by using an integrated approach of in situ tests, and numerical modeling. A field experiment study of landfill gas emission is conducted by using a static chamber at one landfill site in Xi'an, Northwest China. Additionally, a two-dimensional axisymmetric numerical model for multi-component gas transport in the soil and the static chamber is developed based on the dusty-gas model (DGM). The proposed model is validated by the field data obtained in this study and a set of experimental data in the literature. The results show that DGM model has a better capacity to predict gas transport under a wider range of permeability compared to Blanc's method. This is due to the fact that DGM model can explain the interaction among gases (e.g., CH₄, CO₂, O₂, and N₂) and the Knudsen diffusion process while these mechanisms are not included in Blanc's model. Increasing the size and the insertion depth of static chambers can reduce the relative error for the flux of CH₄ and CO₂. For example, increasing the height of chambers from 0.55 to 1.1 m can decrease relative errors of CH₄ and CO₂ flux by 17% and 18%, respectively. Moreover, we find that gas emission fluxes for the case with positive pressure differential (∆P_in-out) are greater than that of the case without considering pressure fluctuations. The Monte Carlo method was adopted to carry out the statistical analysis for quantifying the range of relative errors. The agreement of the measured field data and predicted results demonstrated that the proposed model has the capacity to quantify the emission of landfill gas from the landfill cover systems.

Keywords: Landfill cover; Landfill gas; Multi-components; Numerical model; Relative error; Static chamber.

Abstract

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