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Collaborative project: Technical-economical evaluation and validation of a prediction model for the degradation kinetics of lignocellulosic feedstock for use in the flexible operation of the biogas process in practice
Project
Project code: 2219NR280
Contract period: 01.04.2020
- 31.03.2023
Budget: 102,204 Euro
Purpose of research: Inventory & Assessment
Keywords: biogas, biomass, lignocellulose, ressource efficiency, forcasting, digitalization
Biomass from permanent crops as well as agricultural residues and by-products are cost effective alternative biogas substrates without the demand of additional areas, contrary to maize. However, these feedstocks show a higher lignocellulose content. Lignocellulosic feedstock either are slowly biodegradable or they exhibit only a low biogas potential. Substrate pretreatment can improve degradation efficiency, as it was demonstrated in the project BIOSHRED (funding no.: 22031214). Furthermore, in a recent study on prediction of biogas yield from permanent crops it could be shown, that a regression model can be robust, if the required information is included in the calibration data base, and if the influence of the analytical matrix is higher than of the composition of constituents (Dandikas et al. 2018). The main objective of the project is the evaluation and validation of a practical forecasting of the degradation kinetics of lignocellulosic biogas substrates on the basis of an available prediction model. It can be used for the evaluation of biological, chemical and mechanical substrate pretreatment processes and lead to reliable ratings on the appropriateness of substrate mixtures for biogas feedstock in practice. As a consequence, the necessary reduction of maize in the substrate mix can be achieved without negative impacts on economic efficiency, which is a crucial advantage for the flexible operation of biogas plants. The project focus on: improvement and adaption of a model for prediction of biogas yield and degradation kinetics of agricultural residual biomass, evaluation of the correlation between hydrolysis constant and residence time of substrates, development of a model for estimation of the required residence time in the biogas digester to reach a specific degree of degradation, evaluation of the effectivity of substrate pretreatments in technical scale, development of a model-based web application of a practical prediction tool of degradation kinetics for
Section overview
Subjects
- Renewable Resources
- Computer science
