Prediction of Methane Generation of Ozone-Treated Sludge from a Wastewater Treatment Plant

被引:4
作者
Kianmehr, Peiman [1 ]
Kfoury, Fadi [2 ]
机构
[1] Amer Univ Dubai, Dept Civil Engn, POB 28282, Media City, Dubai, U Arab Emirates
[2] Univ Calif Berkeley, Dept Civil & Environm Engn, Berkeley, CA 94720 USA
关键词
Artificial Neural Networks; Pre-treatment; Sludge Digestion; Solid Residence Time; ACTIVATED-SLUDGE; PRETREATMENT; OZONATION; LANDFILL; BIOGAS; MODEL;
D O I
10.1080/01919512.2016.1213157
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Prior to anaerobic digestion of waste activated sludge (WAS), the pre-treatment of sludge including ozonation is utilized to enhance the rate of methane generation and turn it to feasible bio-resource energy. Biochemical methanogenic potential (BMP) test is a common tool to estimate the biodegradability of raw and ozonated WAS, although, it is a time consuming test requiring expensive gas analysis. The objective of this research is to recognize key parameters essential to predict biodegradability of WAS and create a valid Artificial Neural Networks (ANN) for estimating sludge biodegradability. The results reflect that ANN is an effective estimation tool.
引用
收藏
页码:465 / 471
页数:7
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