Development of correction factors for landfill gas emission model suiting Indian condition to predict methane emission from landfills

Avick Sil; Sunil Kumar; Jonathan W C WONG

doi:10.1016/j.biortech.2014.03.035

Development of correction factors for landfill gas emission model suiting Indian condition to predict methane emission from landfills

Avick Sil, Sunil Kumar^*, Jonathan W C WONG

^*Corresponding author for this work

Research output: Contribution to journal › Journal article › peer-review

22 Citations (Scopus)

Abstract

Methane emission from landfill gas emission (LandGEM) model was validated through the results of laboratory scale biochemical methane potential assay. Results showed that LandGEM model over estimates methane (CH₄) emissions; and the true CH₄ potential of waste depends on the level of segregation. Based on these findings, correction factors were developed to estimate CH₄ emission using LandGEM model especially where the level of segregation is negligible or does not exist. The correction factors obtained from the study were 0.94, 0.13 and 0.74 for food waste, mixed un-segregated municipal solid waste (MSW) and vegetable wastes, respectively.

Original language	English
Pages (from-to)	97-99
Number of pages	3
Journal	Bioresource Technology
Volume	168
DOIs	https://doi.org/10.1016/j.biortech.2014.03.035
Publication status	Published - Sept 2014

Scopus Subject Areas

Bioengineering
Environmental Engineering
Renewable Energy, Sustainability and the Environment
Waste Management and Disposal

User-Defined Keywords

Biochemical methane potential
LandGEM
Methane
Model
Waste

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.biortech.2014.03.035

Cite this

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title = "Development of correction factors for landfill gas emission model suiting Indian condition to predict methane emission from landfills",

abstract = "Methane emission from landfill gas emission (LandGEM) model was validated through the results of laboratory scale biochemical methane potential assay. Results showed that LandGEM model over estimates methane (CH4) emissions; and the true CH4 potential of waste depends on the level of segregation. Based on these findings, correction factors were developed to estimate CH4 emission using LandGEM model especially where the level of segregation is negligible or does not exist. The correction factors obtained from the study were 0.94, 0.13 and 0.74 for food waste, mixed un-segregated municipal solid waste (MSW) and vegetable wastes, respectively.",

keywords = "Biochemical methane potential, LandGEM, Methane, Model, Waste",

author = "Avick Sil and Sunil Kumar and WONG, {Jonathan W C}",

year = "2014",

month = sep,

doi = "10.1016/j.biortech.2014.03.035",

language = "English",

volume = "168",

pages = "97--99",

journal = "Bioresource Technology",

issn = "0960-8524",

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TY - JOUR

T1 - Development of correction factors for landfill gas emission model suiting Indian condition to predict methane emission from landfills

AU - Sil, Avick

AU - Kumar, Sunil

AU - WONG, Jonathan W C

PY - 2014/9

Y1 - 2014/9

N2 - Methane emission from landfill gas emission (LandGEM) model was validated through the results of laboratory scale biochemical methane potential assay. Results showed that LandGEM model over estimates methane (CH4) emissions; and the true CH4 potential of waste depends on the level of segregation. Based on these findings, correction factors were developed to estimate CH4 emission using LandGEM model especially where the level of segregation is negligible or does not exist. The correction factors obtained from the study were 0.94, 0.13 and 0.74 for food waste, mixed un-segregated municipal solid waste (MSW) and vegetable wastes, respectively.

AB - Methane emission from landfill gas emission (LandGEM) model was validated through the results of laboratory scale biochemical methane potential assay. Results showed that LandGEM model over estimates methane (CH4) emissions; and the true CH4 potential of waste depends on the level of segregation. Based on these findings, correction factors were developed to estimate CH4 emission using LandGEM model especially where the level of segregation is negligible or does not exist. The correction factors obtained from the study were 0.94, 0.13 and 0.74 for food waste, mixed un-segregated municipal solid waste (MSW) and vegetable wastes, respectively.

KW - Biochemical methane potential

KW - LandGEM

KW - Methane

KW - Model

KW - Waste

UR - http://www.scopus.com/inward/record.url?scp=84904980171&partnerID=8YFLogxK

U2 - 10.1016/j.biortech.2014.03.035

DO - 10.1016/j.biortech.2014.03.035

M3 - Journal article

C2 - 24685512

AN - SCOPUS:84904980171

SN - 0960-8524

VL - 168

SP - 97

EP - 99

JO - Bioresource Technology

JF - Bioresource Technology

ER -

Development of correction factors for landfill gas emission model suiting Indian condition to predict methane emission from landfills

Abstract

Scopus Subject Areas

User-Defined Keywords

UN SDGs

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