Bibliometric analysis of Anaerobic Digestion Model No. 1 for dry anaerobic digestion of fruit and vegetable waste, food waste, and organic fraction of municipal solid waste
T.P. Silva , A.B. dos Santos , G. Esposito , T.A. Gehring , R.C. Leitão
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引用次数: 0
Abstract
The Anaerobic Digestion Model No. 1 (ADM1) is a widely spread platform for simulating methanogenic reactors. It is a structured and complex model considering physicochemical and biochemical processes during wastewater and sewage sludge anaerobic digestion (AD). However, many modifications, simplifications, and adaptions exist for specific wastewaters/sludges, processes, and operational conditions. Given this, a bibliometric analysis was carried out to identify the main applications of ADM1 in the dry anaerobic digestion (D-AD) of fruit and vegetable waste (FVW), food waste (FW), and organic fraction of municipal solid waste (OFMSW). The adaptation necessary in ADM1 includes adjusting and separating the disintegration and hydrolysis rates of the substrate and sludge, which have different characteristics, such as the concentration of solids, which is inversely proportional to the hydrolysis velocity. In addition, adaptations are a function of the adopted reactor and other parameters. Finally, the work identifies the current modeling state-of-the-art using ADM1 and the need for further research to improve the model application in D-AD processes.
期刊介绍:
The Journal of Environmental Chemical Engineering (JECE) serves as a platform for the dissemination of original and innovative research focusing on the advancement of environmentally-friendly, sustainable technologies. JECE emphasizes the transition towards a carbon-neutral circular economy and a self-sufficient bio-based economy. Topics covered include soil, water, wastewater, and air decontamination; pollution monitoring, prevention, and control; advanced analytics, sensors, impact and risk assessment methodologies in environmental chemical engineering; resource recovery (water, nutrients, materials, energy); industrial ecology; valorization of waste streams; waste management (including e-waste); climate-water-energy-food nexus; novel materials for environmental, chemical, and energy applications; sustainability and environmental safety; water digitalization, water data science, and machine learning; process integration and intensification; recent developments in green chemistry for synthesis, catalysis, and energy; and original research on contaminants of emerging concern, persistent chemicals, and priority substances, including microplastics, nanoplastics, nanomaterials, micropollutants, antimicrobial resistance genes, and emerging pathogens (viruses, bacteria, parasites) of environmental significance.