TY - THES A1 - Meyer-Kohlstock, Daniel T1 - Prospects for Biochar in a Bio-Waste Cascade N2 - In the early 2000s the pre-Columbian, anthropologically produced black soil in the Amazon basin, „Terra Preta de Índio“, received greater scientific attention. Compared to the surrounding poor soils, this very fertile anthrosol contains significantly higher levels of microorganisms and nutrients. The reason for this was determined to be the likewise high levels of charred biomass. This stable carbon, now called biochar, has since been intensively examined as an option to improve soil and to store carbon. Although the creation of Terra Preta was most likely based on a purposeful utilization of organic residues from households and gardens, biochar plays no role in the current recycling of bio-waste. However, the implementation of biochar could lead to many improvements. Results from agricultural research suggest that not only the yield capacity of soils can be increased but also the process performance of composting and biogas plants. The latter is especially relevant since currently about 40% of all collected bio-waste in Germany is recycled in an energy-material cascade consisting of anaerobic digestion and composting. The use of biochar in this cascade could then sequentially increase biogas yields, reduce greenhouse gas emissions, and improve compost quality. To realize the aforementioned advantages, the concept of biochar has to be integrated into the existing bio-waste cascade as practically as possible. This was done by the development of a theoretical scenario that allowed the analysis of energy and material flows to evaluate biochar’s recycling performance. Furthermore, the legal and economic framework were examined to assess the feasibility of the extended cascade and to suggest possible adjustments to the frameworks. KW - Kompost KW - Biogas KW - Pflanzenkohle Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20171108-36310 ER - TY - THES A1 - Weitze, Laura Katharina T1 - Erweiterte Prozessbewertung von Biogasanlagen unter Berücksichtigung organoleptischer Parameter und Erfahrungswissen N2 - Landwirtschaftliche Biogasanlagen leisten mit ca. 9.300 Anlagen und einem Anteil von 5,3% an der Stromerzeugung, einen Beitrag zur Erzeugung Erneuer-barer Energien in Deutschland. Die Optimierung dieser Anlagen fördert die nachhaltige Bereitstellung von Strom, Wärme und BioErdgas. Das Ergebnis dieser Forschungsarbeit ist die Entwicklung eines mehrmethodi-schen Bewertungsansatzes zur Beschreibung der Qualität der Eingangs-substrate als Teil einer ganzheitlichen Prozessoptimierung. Dies gelingt durch die kombinierte Nutzung klassischer Analysesätze, der Nutzung organolepti-scher Parameter – der humansensorischen Sinnenprüfung – und der Integration von prozess- und substratspezifischem Erfahrungswissen. Anhand von halbtechnischen Versuchen werden Korrelationen und Kausalitäten zwi-schen chemisch-physikalischen, biologischen, organoleptischen und erfahrungsbezogenen Parametern erforscht. Die Entwicklung einer Fallbasis mit Hilfe des Fallbasierten Schließens, einer Form Künstlicher Intelligenz, zeigt das Entwicklungs- und Integrationspotenzial der Automatisierung auf, insbesondere auch im Hinblick auf neue Ansätze z.B. Industrie 4.0. Erste Lösungen zur Bewältigung der identifizierten Herausforderungen der mehrmethodischen Prozessbewertung werden vorgestellt. Abschließend wird ein Ausblick auf den weiteren Forschungsbedarf gegeben und die Übertragbarkeit des mehrmethodischen Bewertungsansatzes auf andere Anwendungsfelder z.B. Bioabfallbehandlung, Kläranlagen angeregt. N2 - Agricultural biogas plants significantly contribute to the generation of renewable energies in Germany. Approx. 9,300 facilities account 5.3% of the total generated electricity in Germany. Optimization of these biogas plants will undoubtably promote the sustainable provision of electricity, heat and natural gas. This research study developed a multi-methodical assessment approach to de-scribe the quality of input substrates as part of a holistic process optimization. This is achieved by combination of conventional analysis, use of organoleptic parameters, integration of process- as well as substrate-specific experient ba-sed knowledge. Correlations and causalities between chemical-physical, biological, organoleptic and experiential parameters are explored. These inves-tigations based on semi-technical experiments. Using case-based reasoning, a form of artificial intelligence, demonstrates the potential for development and integration of automation. Solving approaches to overcome the challenges of multi-methodical process assessment are presented. Finally, an outlook on further research needs is given. Furthermore, the trans-ferability of the multi-methodical assessment approach to other fields of application like bio-waste treatment or sewage treatment plants, is incited. KW - Biogasanlage KW - Erfahrungswissen KW - Maissilage KW - Optimierung KW - Biogas KW - Organoleptik Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20190129-38499 ER -