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Information System for Agriculture and Food Research

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Effektor-process information systems for continuous monitoring of the energy efficiency of biogas plants

Project


Project code: 22038018
Contract period: 01.10.2019 - 30.09.2022
Budget: 660,366 Euro
Purpose of research: Applied research

For the instantaneous assessment of the energetic efficiency of biomass conversion plants for power generation a dispassionate key figure – ideally independent of feedstock properties and available intermediately – is still lacking. This is where the proposed project "Effektor” aims to combine biological and energetic balancing methods in order to combine them into a continuous supervision of the technical efficiency of biogas plants. The result of the knowledge transfer partnership between science and industry is going to be a publicly available software tool, which enables biogas plant operators to generate an up-to-date and intuitive assessment of the plant´s efficiency. Perspectively, the developed algorithm can be the basis for an efficiency-based incentive system as well. By combining and integrating the already established methods of energetic plant balancing and the balancing of biological conversion rates, differentiated recommendations for action for the plant operators can be derived. The aforementioned combination of balancing methods herein is supposed to close the currently existing gap between biogas production and utilisation. Hereby, the search for weak spots in the operation of biogas plants is refined and plant operation can be improved economically and therefore ecologically. To achieve these goals, currently unmonitored biogas emissions are quantified by equipping the pressure relief vales as well as the emergency flares with monitoring equipment. In an exemplary integration of the combined algorithm in the process information system "PIMOS” by "OPTUM Systemtechnik GmbH”, the system benefits from the direct access to the measurement technology for data acquisition installed on site. For verification purposes, the developed algorithm will be tested with scientific support on the research biogas plant of the DBFZ and two further commercial biogas plants.

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