Literature DB >> 22000722

Determination of first-order landfill gas modeling parameters and uncertainties.

Hamid R Amini1, Debra R Reinhart, Kevin R Mackie.   

Abstract

Using first-order kinetic empirical models to estimate landfill gas (LFG) generation and collection rates is well recognized in the literature. The uncertainty in the estimated LFG generation rates is a major challenge in evaluating performance of LFG collection and LFG to energy facilities. In this investigation, four methods for quantifying first-order LFG generation model parameters, methane generation potential, L(0), and methane generation rate constant, k, were evaluated. It was found that the model is insensitive to the approach taken in quantifying the parameters. However, considering the recognition of using the model in the literature, the optimum method to estimate L(0) and k is to determine L(0) using disposed municipal solid waste composition and laboratory component specific methane potential values. The k value can be selected by model fitting and regression using the first-order model if LFG collection data are available. When such data are not available, k can be selected from technical literature, based on site conditions. For five Florida case-study landfills L(0) varied from 56 to 77 m(3) Mg(-1), and k varied from 0.04 to 0.13 yr(-1) for the traditional landfills and was 0.10 yr(-1) for the wet cell. Model predictions of LFG collection rates were on average lower than actual collection. The uncertainty (coefficient of variation) in modeled LFG generation rates varied from ±11% to ±17% while landfills were open, ±9% to ±18% at the end of waste placement, and ±16% to ±203% 50 years after waste placement ended.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22000722     DOI: 10.1016/j.wasman.2011.09.021

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  4 in total

1.  Alternative carbon dioxide modelling approaches accounting for high residual gases in LandGEM.

Authors:  Nathan Bruce; Kelvin Tsun Wai Ng; Amy Richter
Journal:  Environ Sci Pollut Res Int       Date:  2017-04-20       Impact factor: 4.223

2.  Use of seasonal parameters and their effects on FOD landfill gas modeling.

Authors:  Nathan Bruce; Kelvin Tsun Wai Ng; Hoang Lan Vu
Journal:  Environ Monit Assess       Date:  2018-04-18       Impact factor: 2.513

3.  Greenhouse gas reporting data improves understanding of regional climate impact on landfill methane production and collection.

Authors:  Pradeep Jain; James Wally; Timothy G Townsend; Max Krause; Thabet Tolaymat
Journal:  PLoS One       Date:  2021-02-26       Impact factor: 3.240

4.  The BioChemical Clogging of Landfill Leachate Collection System: Based on Laboratory Studies.

Authors:  Yili Liu; Jianguo Liu
Journal:  Int J Environ Res Public Health       Date:  2020-03-29       Impact factor: 3.390

  4 in total

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