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无氧消化操作参数对启动时间的相关性和影响:为强大的启动指南构建数据库

Amal Hmaissia¹, Younes Bareha¹, Céline Vaneeckhaute¹

¹BioEngine Research Team on Green Process Engineering and Biorefineries, Chemical Engineering Department, Université Laval, Pavillon Adrien-Pouliot 1065, av. de la Médecine, Québec, QC, Canada; CentrEau, Centre de Recherche sur l'eau, Université Laval, 1065 Avenue de la Médecine, Québec, QC, G1V 0A6, Canada.

Journal of environmental management

|May 10, 2024

概括

优化无氧消化 (AD) 启动对于废物管理至关重要. 这项研究创建了一个数据库,以确定影响AD启动持续时间和稳定的液压保留时间和基板类型等关键因素.

科学领域:

环境科学与工程环境科学与工程
生物技术是生物技术.
废物管理废物管理

背景情况:

无氧消化 (AD) 是有机废物管理的关键技术,为经济和环境带来好处.
优化AD流程,特别是启动阶段,对于运营成功至关重要.
在AD启动研究中缺乏标准化数据,这阻碍了可靠的比较和流程优化.

研究的目的:

从现有的AD启动实验中开发一个标准化的知识数据库.
研究机器学习用于分析AD启动数据的应用.
帮助规划和监测无氧消化开始阶段.

主要方法:

在31项研究中,从75个单阶段湿式连续动坦克反应堆 (CSTR) 启动案例构建了一个标准化数据库.
在单消化中包含农业,工业和城市有机废水数据.
应用多变量分析和基于模型的排名方法来研究参数对启动时间的影响.

主要成果:

确定了有利于启动时间短的场景:低液压保留时间 (HRT),高有机载荷率 (OLR) 和高发酵基质.
确定最终的HRT (HRTf),料挥发性固体 (VSfeed) 和最终温度 (Tf) 显著影响启动时间.
突出趋势和运营参数与启动性能之间的相关性.

结论:

开发的数据库可以作为未来AD启动研究的宝贵参考.
标准化数据分析可以提高AD研究的可靠性和可比性.
像HRTf,VSfeed和Tf这样的关键参数需要密切控制才能高效地启动AD.

关键词:

无氧消化消化无氧消化数据库数据库数据库是一个数据库.机器学习机器学习多变量分析多变量分析.启动时间持续时间.

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