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Thermogravimetric substrate analysis for prediction of biogas and methane yields.
Weber, B; Durán-García, M D; Fröhlich, C.
Affiliation
  • Weber B; Faculty of Engineering, Autonomous University of the State of Mexico, Cerro de Coatepec s/n Col. San Buenaventura, C.P. 50130 Toluca, State of Mexico, Mexico. Electronic address: bweber@uaemex.mx.
  • Durán-García MD; Faculty of Engineering, Autonomous University of the State of Mexico, Cerro de Coatepec s/n Col. San Buenaventura, C.P. 50130 Toluca, State of Mexico, Mexico.
  • Fröhlich C; Department of Math, Natural Science and Computer Science, University of Applied Sciences THM, Campus Giessen, 35390 Giessen, Germany.
Bioresour Technol ; 368: 128322, 2023 Jan.
Article in En | MEDLINE | ID: mdl-36396037
ABSTRACT
Biodegradability of biomass constituents is the reason for the gap between theoretical biogas/methane yield and the maximum yield obtainable in bioconversion. The prediction of biogas/methane yields by applying thermal analysis is a relatively new development in this field. The aim of this study was to develop a bioconversion model based on thermogravimetry. Eleven substrates with a specific biogas yield within the range 104 to 572 mLN per gram of volatile solids were subjected to thermogravimetry and a multi linear regression model was developed to predict biogas and methane yields. The optimum parameters describe biogas and methane yields with a root mean square error of 58.8 and 34.3 mLN per gram of volatile solids respectively. The coefficient of determination for these two datasets was 0.81 and 0.84. A prediction technique based on thermogravimetric analysis appears to be a good alternative to other prediction models.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biofuels / Methane Language: En Journal: Bioresour Technol Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biofuels / Methane Language: En Journal: Bioresour Technol Year: 2023 Document type: Article