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基于模糊逻辑的热预处理厌氧消化过程运行参数行为分析。

Analysis of the behavior for operation parameters in the anaerobic digestion process with thermal pretreatment, using fuzzy logic.

作者信息

Flores-Asis Rita, Méndez-Contreras Juan M, Alvarado-Lassman Alejandro, Fernández-Lambert Gregorio, Villanueva-Vásquez Daniel, Aguilar-Lasserre Alberto A

机构信息

a Division of Research and Postgraduate Studies , Tecnológico Nacional de México/Instituto Tecnológico de Orizaba , Orizaba , Veracruz , Mexico.

b Division of Research and Postgraduate Studies , Instituto tecnológico Superior de Misantla , Veracruz , Mexico.

出版信息

J Environ Sci Health A Tox Hazard Subst Environ Eng. 2019;54(6):582-592. doi: 10.1080/10934529.2019.1593010. Epub 2019 Apr 2.

DOI:10.1080/10934529.2019.1593010
PMID:30939984
Abstract

This article presents a study that identifies the variables with greatest impact on the biogas and methane production over a process with thermal pretreatment, to accelerate anaerobic digestion process in sewage sludge in a water treatment plant, for a poultry processing factory, by using fuzzy logic. The designed fuzzy logic model includes 688 inference rules, with a correlation of 99.3% between prediction data against experimental data, for the biogas variable; and 97% for the methane variable. The predictions of the fuzzy logic model were analyzed with response surface models, and it is concluded that the temperature and operating time variables are mutually determining in the biogas and methane production. Likewise, this research provides a methodology for the design of an expert decision support system that allows to evaluate and optimize a mesophilic anaerobic digestion process through a previous thermal treatment in order to improve the yields of biogas and methane in the treatment of effluent sludge from agroindustry. These results propose to diffuse logic as a reliable tool to make comparisons, and predictions for operation variables management on the treatment of residual sludge with thermal pretreatment on anaerobic digestion.

摘要

本文介绍了一项研究,该研究通过模糊逻辑确定了对采用热预处理工艺的沼气和甲烷产量影响最大的变量,以加速污水处理厂中用于家禽加工厂的污水污泥的厌氧消化过程。所设计的模糊逻辑模型包含688条推理规则,对于沼气变量,预测数据与实验数据之间的相关性为99.3%;对于甲烷变量,相关性为97%。利用响应面模型对模糊逻辑模型的预测结果进行了分析,得出温度和运行时间变量在沼气和甲烷生产中相互决定的结论。同样,本研究提供了一种设计专家决策支持系统的方法,该系统可以通过预先的热处理来评估和优化中温厌氧消化过程,从而提高农业工业废水污泥处理中沼气和甲烷的产量。这些结果表明,模糊逻辑是一种可靠的工具,可用于对厌氧消化热预处理剩余污泥处理中的运行变量管理进行比较和预测。

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