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Correlation between Biogas Yield and Chemical Composition of Grassland Plant Species

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

Research output: Contribution to journalArticlepeer-review

50 Scopus citations

Abstract

Although grassland has a significant biomass potential, many different factors can affect the quality of grassland feedstock. Changes in the chemical composition of grassland biomass can lead to a high variation in biogas potential, even within the same plant species. Therefore, four grass species and two legume species were grown in field plots and harvested at sequential stages of maturity in the first three growths. The samples were investigated in order to mathematically describe the relation between their chemical composition and biogas yield. A global biogas yield prediction model for energy crops allowed the differentiation between the samples for biogas yield. However, due to their distinct difference in plant chemical composition, the estimation accuracy was rather low. A model considering lignin, hemicellulose, and crude protein as regressors was most suitable for predicting the biogas yield of grassland plant species, with an accuracy of 31 L/kg volatile solids.

Original languageEnglish
Pages (from-to)7221-7229
Number of pages9
JournalEnergy and Fuels
Volume29
Issue number11
DOIs
StatePublished - 19 Nov 2015

UN SDGs

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

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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