Optimizing hydraulic retention time for methane production from the hydrogenic effluent left over from the co-digestion of vinasse and spent brewer's yeast cell
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引用次数: 0
Abstract
This study aims to optimize the hydraulic retention time (HRT) for the methane production from hydrogenic effluent derived from the co-digestion of vinasse and spent brewer's yeast cells. The experiments were conducted in a continuous stirred tank reactor (CSTR) at various HRTs ranging from 60 to 5 days. The results showed that optimal performance was achieved at HRT 10 days. Under this HRT, yielding a maximum methane production rate of 853.6 mL/L·d and a methane yield of 304.9 mL/g-VS, with a COD removal efficiency of 53.86 %. The microbial community analysis revealed distinct patterns across different HRTs, with shorter HRTs (5–15 days) dominated by Bathyarchaeia-related taxa and Thermoplasmatota, while longer HRTs (30–60 days) showed the predominance of traditional methanogenic archaea within the Euryarchaeota phylum. The methane production process involved both acetoclastic and hydrogenotrophic pathways, with enhanced efficiency observed under shorter HRTs where both pathways coexisted. The greenhouse gas reduction potential analysis revealed that implementing this process could potentially reduce emissions by 1,026,206 tCO2eq/year through the substitution of fossil fuel-based electricity with methane-derived power.
期刊介绍:
Carbon Resources Conversion (CRC) publishes fundamental studies and industrial developments regarding relevant technologies aiming for the clean, efficient, value-added, and low-carbon utilization of carbon-containing resources as fuel for energy and as feedstock for materials or chemicals from, for example, fossil fuels, biomass, syngas, CO2, hydrocarbons, and organic wastes via physical, thermal, chemical, biological, and other technical methods. CRC also publishes scientific and engineering studies on resource characterization and pretreatment, carbon material innovation and production, clean technologies related to carbon resource conversion and utilization, and various process-supporting technologies, including on-line or off-line measurement and monitoring, modeling, simulations focused on safe and efficient process operation and control, and process and equipment optimization.