Landfill gas collection efficiency: Categorization of data from existing in-situ measurements

Charles R. Giordano, Michael E. Van Brunt, Shanee J. Halevi, Marco J. Castaldi, Zsanett Orlovits, Zoltan Illes

Research output: Contribution to journalArticlepeer-review

Abstract (may include machine translation)

Landfill methane emissions are commonly estimated using cover-type dependent default collection efficiency values, with a first-order decay model or measured gas collection. Current default collection efficiencies used in the United States were predominately derived from 4 studies conducted during or prior to 2007 that relied on flux chambers. Flux chambers are limited by small sample sizes, placement restrictions, and the inability to measure emissions from gas or leachate collection systems. Since 2007, over 14 new studies have been completed using more advanced technologies that allow for direct measurement of methane plumes from most or all of a landfill's surface. On average, these measurements are 2–3 times greater than emissions predicted by current models and collection efficiency defaults. In lieu of measuring emissions from all landfills, updating collection efficiency defaults can bring modeled emissions into better alignment with measurements. To this end, collection efficiency estimates derived from measured data were categorized into cover types and then adjusted to account for cases where whole plume measurement was an amalgamation of multiple cover types. The resultant adjusted default values were 41% for daily cover, 69% for intermediate cover, and 71% for final cover. Direct measurement of landfill methane emissions is preferrable to account for the full range of variables driving landfill emissions, including collection system design and operation. However, applying these updated defaults back into the landfill emission models eliminates underprediction of landfill emissions for the dataset reviewed, and would provide a more accurate estimate of landfill gas emissions where measurements are unavailable.

Original languageEnglish
Pages (from-to)83-91
Number of pages9
JournalWaste Management
Volume175
DOIs
StatePublished - 1 Mar 2024

Keywords

  • Air Pollutants/analysis
  • Environmental Monitoring
  • Methane/analysis
  • Refuse Disposal
  • Waste Disposal Facilities

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