WP 3: Biomass analysis
Develop analytical methods that enable systematic quantification of biogas production and carbon and nutrient pools in important biomass categories from farm, industrand household sources.
The models are developed in close collaboration between the two research groups in order to ensure applicability of the methodology across different biomass types. Data not being used in model development and from several places in the biomass management chain are used to validate model results. Final choice of characterisation methods will be based on cost and applicability to provide inputs about organic matter pools for parameterisation of models for biogas potential, GHG emissions, plant nutrient availability and C sequestration (WP4)
Fast, reliable methods for quantification of chemical components and organic matter
pools and assessment of the biogas potential. Models for predicting changes in organic matter
pools and plant nutrient composition as affected by digestion
WP3 leader Charlotte Scheutz, Associate professor
Technical University of Denmark (DTU-E)
Department of Environmental Engineering
The overall purpose of the research is to develop rapid and reliable analytical method and computational model that predicts biochemical methane potential of various ranges of household and industrial organic waste fractions as well as investigate the effect of hydraulic retention time(HRT) and co-digestion of organic household waste with garden waste and wastewater treatment primary sludge in continuous stirred tank reactor(CSTR) and also quantification of fugitive greenhouse gas(GHG) emissions from a full scale biogas production plant.
The integrated value chain framework analysis will be able to identify the barriers and hurdles in the current Danish biogas production value chains that hinder to exploit the available nationwide maximum biogas potential. Henceforth, solutions to remove the challenges in the biogas value chain process will be suggested based on scientific analytical, theoretical, computational, logistics and economical methodologies. Accordingly, WP3 will develop analytical systematic biogas quantification method and computational model that can be used as input to WP1, value chain optimization.
Ali Heidarzadeh Vazifehkhoran
University of Southern Denmark
Institute of Chemical Engineering,
Biotechnology and Environmental Technology
In this project the aim is to characterise biomass and study biogas production and biochemical methane potential from animal manure, plant biomass and slaughterhouse waste as related to the biomass characteristic. New and fast analytical methods such as NIR will be used in this investigation for characterisation of biomasses for biochemical methane production (BMP) prediction. BMP are measured using the batch method. In addition, the biogas production and changes in biomasses characteristic will be examined in laboratory studies using the continuous bioreactors.
The BMP test is one of the most relevant tests for assessing the biodegradability of waste biomass. However, unfortunately the BMP test is very time-consuming, i.e. it requires at least one month for BMP determination. Using alternative methods for determining the anaerobic biodegradability of biomass must be cost-effective and time-saving. Models using physicochemical characteristics as input data can predict BMP, and Thermo gravimetric analysis could be an alternative method to characterise biomass and to predict BMP.
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