A novel mathematical modelling of waste biomass decomposition to facilitate rapid methane potential prediction

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Resumé

Biogas production is known to be the most sustainable bioenergy technology available owing to its utilization of waste biomass. Due to the widely ranging energy contents of major organic carbons and their diverse degradation pathways, as well as their highly varying hydrolysis capacities, predicting methane yield is not as simple as predicting the production of other biofuels. This study investigated the hydrolysis behaviour of organic compounds using the operational conditions of real-scale biogas plants (hydraulic retention time (HRT) of 15, 20, 30, and 45 days) and explored a new approach to determine the biochemical methane potential (BMP), which can be used to predict the methane yield of a wide range of agro-industrial wastes. The degradation of hemicelluloses and cellulose increased gradually, closely following first-order degradation kinetics, at longer retention times. In spite of their longer retention times, only 45% of hemicelluloses and 34% of cellulose decomposed. The newly proposed BMP model was validated using 65 internal and external datasets. The model error (RMSE P ) was in the range of 37.4–87.7 NL CH 4 kg VS −1 while the relative model error (rRMSE P ) was in the range of 12.1%–47.8%. The model fits best to gently lignified biomass, but the overestimated results obtained with woody biomass and winter harvested grass indicate that further investigation of the hydrolysis of well-lignified biomass is required to enhance the precision of the model.

OriginalsprogEngelsk
TidsskriftJournal of Cleaner Production
Vol/bind220
Sider (fra-til)1222-1230
ISSN0959-6526
DOI
StatusUdgivet - 20. maj 2019

Fingeraftryk

Methane
Biomass
methane
decomposition
Decomposition
biomass
prediction
hydrolysis
Hydrolysis
modeling
Biogas
biogas
Degradation
degradation
cellulose
Cellulose
Industrial wastes
bioenergy
Biofuels
Organic carbon

Citer dette

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title = "A novel mathematical modelling of waste biomass decomposition to facilitate rapid methane potential prediction",
abstract = "Biogas production is known to be the most sustainable bioenergy technology available owing to its utilization of waste biomass. Due to the widely ranging energy contents of major organic carbons and their diverse degradation pathways, as well as their highly varying hydrolysis capacities, predicting methane yield is not as simple as predicting the production of other biofuels. This study investigated the hydrolysis behaviour of organic compounds using the operational conditions of real-scale biogas plants (hydraulic retention time (HRT) of 15, 20, 30, and 45 days) and explored a new approach to determine the biochemical methane potential (BMP), which can be used to predict the methane yield of a wide range of agro-industrial wastes. The degradation of hemicelluloses and cellulose increased gradually, closely following first-order degradation kinetics, at longer retention times. In spite of their longer retention times, only 45{\%} of hemicelluloses and 34{\%} of cellulose decomposed. The newly proposed BMP model was validated using 65 internal and external datasets. The model error (RMSE P ) was in the range of 37.4–87.7 NL CH 4 kg VS −1 while the relative model error (rRMSE P ) was in the range of 12.1{\%}–47.8{\%}. The model fits best to gently lignified biomass, but the overestimated results obtained with woody biomass and winter harvested grass indicate that further investigation of the hydrolysis of well-lignified biomass is required to enhance the precision of the model.",
keywords = "Anaerobic digestion, BMP model, CSTR, Lignin, Lignocellulose, Methane",
author = "Vazifehkhoran, {Ali Heidarzadeh} and Triolo, {Jin Mi}",
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A novel mathematical modelling of waste biomass decomposition to facilitate rapid methane potential prediction. / Vazifehkhoran, Ali Heidarzadeh; Triolo, Jin Mi .

I: Journal of Cleaner Production, Bind 220, 20.05.2019, s. 1222-1230.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - A novel mathematical modelling of waste biomass decomposition to facilitate rapid methane potential prediction

AU - Vazifehkhoran, Ali Heidarzadeh

AU - Triolo, Jin Mi

PY - 2019/5/20

Y1 - 2019/5/20

N2 - Biogas production is known to be the most sustainable bioenergy technology available owing to its utilization of waste biomass. Due to the widely ranging energy contents of major organic carbons and their diverse degradation pathways, as well as their highly varying hydrolysis capacities, predicting methane yield is not as simple as predicting the production of other biofuels. This study investigated the hydrolysis behaviour of organic compounds using the operational conditions of real-scale biogas plants (hydraulic retention time (HRT) of 15, 20, 30, and 45 days) and explored a new approach to determine the biochemical methane potential (BMP), which can be used to predict the methane yield of a wide range of agro-industrial wastes. The degradation of hemicelluloses and cellulose increased gradually, closely following first-order degradation kinetics, at longer retention times. In spite of their longer retention times, only 45% of hemicelluloses and 34% of cellulose decomposed. The newly proposed BMP model was validated using 65 internal and external datasets. The model error (RMSE P ) was in the range of 37.4–87.7 NL CH 4 kg VS −1 while the relative model error (rRMSE P ) was in the range of 12.1%–47.8%. The model fits best to gently lignified biomass, but the overestimated results obtained with woody biomass and winter harvested grass indicate that further investigation of the hydrolysis of well-lignified biomass is required to enhance the precision of the model.

AB - Biogas production is known to be the most sustainable bioenergy technology available owing to its utilization of waste biomass. Due to the widely ranging energy contents of major organic carbons and their diverse degradation pathways, as well as their highly varying hydrolysis capacities, predicting methane yield is not as simple as predicting the production of other biofuels. This study investigated the hydrolysis behaviour of organic compounds using the operational conditions of real-scale biogas plants (hydraulic retention time (HRT) of 15, 20, 30, and 45 days) and explored a new approach to determine the biochemical methane potential (BMP), which can be used to predict the methane yield of a wide range of agro-industrial wastes. The degradation of hemicelluloses and cellulose increased gradually, closely following first-order degradation kinetics, at longer retention times. In spite of their longer retention times, only 45% of hemicelluloses and 34% of cellulose decomposed. The newly proposed BMP model was validated using 65 internal and external datasets. The model error (RMSE P ) was in the range of 37.4–87.7 NL CH 4 kg VS −1 while the relative model error (rRMSE P ) was in the range of 12.1%–47.8%. The model fits best to gently lignified biomass, but the overestimated results obtained with woody biomass and winter harvested grass indicate that further investigation of the hydrolysis of well-lignified biomass is required to enhance the precision of the model.

KW - Anaerobic digestion

KW - BMP model

KW - CSTR

KW - Lignin

KW - Lignocellulose

KW - Methane

U2 - 10.1016/j.jclepro.2019.01.161

DO - 10.1016/j.jclepro.2019.01.161

M3 - Journal article

VL - 220

SP - 1222

EP - 1230

JO - Journal of Cleaner Production

JF - Journal of Cleaner Production

SN - 0959-6526

ER -