Correlation between biogas yield and chemical composition of energy crops

V. Dandikas; H. Heuwinkel; F. Lichti; J. E. Drewes; K. Koch

doi:10.1016/j.biortech.2014.10.019

Correlation between biogas yield and chemical composition of energy crops

V. Dandikas
, H. Heuwinkel
, F. Lichti
, J. E. Drewes
, K. Koch

Chair of Urban Water Systems Engineering

Bavarian State Research Center for Agriculture
Hochschule Weihenstephan-Triesdorf
Technical University of Munich

Research output: Contribution to journal › Article › peer-review

109 Scopus citations

Abstract

The scope of this study was to investigate the influence of the chemical composition of energy crops on biogas and methane yield. In total, 41 different plants were analyzed in batch test and their chemical composition was determined. For acid detergent lignin (ADL) content below 10% of total solids, a significant negative correlation for biogas and methane yields ( r≈. -0.90) was observed. Based on a simple regression analysis, more than 80% of the sample variation can be explained through ADL. Based on a principal component analysis and multiple regression analysis, ADL and hemicellulose are suggested as suitable model variables for biogas yield potential predictions across plant species.

Original language	English
Pages (from-to)	316-320
Number of pages	5
Journal	Bioresource Technology
Volume	174
DOIs	https://doi.org/10.1016/j.biortech.2014.10.019
State	Published - 1 Dec 2014

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Batch test
Biogas yield potential
Empirical model
Lignocellulose
Regression analysis

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10.1016/j.biortech.2014.10.019

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title = "Correlation between biogas yield and chemical composition of energy crops",

abstract = "The scope of this study was to investigate the influence of the chemical composition of energy crops on biogas and methane yield. In total, 41 different plants were analyzed in batch test and their chemical composition was determined. For acid detergent lignin (ADL) content below 10\% of total solids, a significant negative correlation for biogas and methane yields ( r≈. -0.90) was observed. Based on a simple regression analysis, more than 80\% of the sample variation can be explained through ADL. Based on a principal component analysis and multiple regression analysis, ADL and hemicellulose are suggested as suitable model variables for biogas yield potential predictions across plant species.",

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author = "V. Dandikas and H. Heuwinkel and F. Lichti and Drewes, \{J. E.\} and K. Koch",

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AU - Dandikas, V.

AU - Heuwinkel, H.

AU - Lichti, F.

AU - Drewes, J. E.

AU - Koch, K.

PY - 2014/12/1

Y1 - 2014/12/1

N2 - The scope of this study was to investigate the influence of the chemical composition of energy crops on biogas and methane yield. In total, 41 different plants were analyzed in batch test and their chemical composition was determined. For acid detergent lignin (ADL) content below 10% of total solids, a significant negative correlation for biogas and methane yields ( r≈. -0.90) was observed. Based on a simple regression analysis, more than 80% of the sample variation can be explained through ADL. Based on a principal component analysis and multiple regression analysis, ADL and hemicellulose are suggested as suitable model variables for biogas yield potential predictions across plant species.

AB - The scope of this study was to investigate the influence of the chemical composition of energy crops on biogas and methane yield. In total, 41 different plants were analyzed in batch test and their chemical composition was determined. For acid detergent lignin (ADL) content below 10% of total solids, a significant negative correlation for biogas and methane yields ( r≈. -0.90) was observed. Based on a simple regression analysis, more than 80% of the sample variation can be explained through ADL. Based on a principal component analysis and multiple regression analysis, ADL and hemicellulose are suggested as suitable model variables for biogas yield potential predictions across plant species.

KW - Batch test

KW - Biogas yield potential

KW - Empirical model

KW - Lignocellulose

KW - Regression analysis

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AN - SCOPUS:84910658731

SN - 0960-8524

VL - 174

SP - 316

EP - 320

JO - Bioresource Technology

JF - Bioresource Technology

ER -

Correlation between biogas yield and chemical composition of energy crops

Abstract

UN SDGs

Keywords

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