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

被引:0
|
作者
Silva, T. P. [1 ]
dos Santos, A. B. [1 ]
Esposito, G. [2 ]
Gehring, T. A. [3 ]
Leitao, R. C. [4 ]
机构
[1] Univ Fed Ceara, Dept Hydraul & Environm Engn, Fortaleza, Ceara, Brazil
[2] Univ Napoli Federico II, Dept Civil Bldg & Environm Engn, Via Claudio 21, I-80125 Naples, Italy
[3] Ruhr Univ Bochum, Urban Water Management & Environm Engn, Univ Str 150, D-44801 Bochum, Germany
[4] Embrapa Trop Agroind, Rua Dra Sara Mesquita 2270, BR-60511110 Fortaleza, Ceara, Brazil
来源
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING | 2024年 / 12卷 / 06期
关键词
ADM1; Dry anaerobic digestion; Renewable energy; Organic waste; MICROBIAL COMMUNITY STRUCTURE; CO-DIGESTION; BIOGAS PRODUCTION; METHANE PRODUCTION; BIOHYDROGEN PRODUCTION; DYNAMIC-MODEL; CATTLE MANURE; PARAMETER-ESTIMATION; CHEMICAL-COMPOSITION; HYDROLYSIS KINETICS;
D O I
10.1016/j.jece.2024.114664
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:21
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