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首页> 外文期刊>Journal of Environmental Science and Health >Analysis of the behavior for operation parameters in the anaerobic digestion process with thermal pretreatment, using fuzzy logic
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Analysis of the behavior for operation parameters in the anaerobic digestion process with thermal pretreatment, using fuzzy logic

机译：用模糊逻辑分析厌氧消化过程中厌氧消化过程中的操作参数的行为

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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.
机译：本文介绍了一种研究，该研究将对沼气和甲烷生产产生最大的变量，通过使用模糊逻辑加速水处理厂中污水污泥中的厌氧消化过程，为家禽加工厂。设计的模糊逻辑模型包括688推断规则，在对沼气变量的预测数据之间的预测数据之间的相关性为99.3％;甲烷变量为97％。用响应表面模型分析模糊逻辑模型的预测，得出结论，温度和工作时间变量在沼气和甲烷生产中相互确定。同样，该研究提供了一种专家决策支持系统的方法，其允许通过先前的热处理来评估和优化嗜合厌氧消化过程，以提高沼气和甲烷治疗来自农业工业的流出污泥的产量。这些结果提出弥漫逻辑作为可靠的工具，以进行比较，以及对厌氧消化热预处理治疗残留污泥的操作变量管理的预测。

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