Influence of Adding Conductive Materials and Integrating Bio Electrochemical Systems on the Efficiency of Anaerobic Digestion
Source abstract
Abstract
This study explores the impact of incorporating conductive materials and bioelectrochemical systems (BES) on the efficiency of anaerobic digestion (AD) of sewage sludge. The research consists of two phases: biodegradability tests using 3D-printed polylactic acid-based conductive fillers (PLA/Carbon Black and PLA/Graphene) and semi-continuous assays integrating an external BES into the AD process. Results from biodegradability tests indicate that conductive fillers enhance around 50% methane production during the start-up phase, with microbial communities adapting over time to reduce variability in methane yields. Moreover, as the experiment progressed, the methane yields of the digesters with and without fillers became equal. Semi-continuous experiments demonstrate that BES integration improves process stability and methane production by achieving a 5–10% improvement in the amount of methane in the biogas throughout the entire operation, even under high organic loads, by facilitating diverse electron transfer pathways. The challenges of BES operation highlight the need for optimized designs to ensure scalability. Microbial analyses reveal that BES application shifts methanogenic pathways, favouring acetoclastic methanogenesis. Overall, the findings underscore the potential of conductive materials and BES to improve biogas quality and production, contributing to sustainable wastewater management and renewable energy generation.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Microbial Fuel Cells and Bioremediation · Anaerobic Digestion and Biogas Production · Wastewater Treatment and Nitrogen Removal
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Chemical and Environmental Bioprocess Engineering Group, I4 Institute, University of León, 24071 León, Spain
Department of Electrical Engineering and Automatic Systems, University of León, 24071 León, Spain
Funding
Ministerio de Ciencia e Innovación (Spain Government)
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