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Modeling of Methane Production in An Anaerobic Digestion Process Using Artificial Neural Network
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DOR
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20.1001.2.9919199705.1399.11.1.126.1
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نویسنده
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- - ,- - ,- - ,- -
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منبع
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كنگره مهندسي شيمي - 1399 - دوره : 11 - یازدهمین کنگره بین المللی مهندسی شیمی - کد همایش: 99191-99705
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چکیده
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Anaerobic digestion is the main source for biogas production# sometimes it is not possible to use produced biogas in combustion plants due to low methane content# the purpose of this study was to model the production of methane during the anaerobic digestion process in the qom wastewater treatment plant (qwwtp)# in this plant, the average methane production is 53%# a model was developed using artificial neural network (ann) to predict methane content in the produced biogas# the model with the optimal configuration of 4-9-1 was obtained using back error propagation algorithm (bep)# the results of ann models were evaluated by ci indexes# modeling results showed the negative effect of increasing ph (ci =-8#28) and positive effect of increasing temperature (ci=+14#52) on methane production#
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کلیدواژه
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Anaerobic Digestion ,Artificial Neural Network (Ann) ,Biogas
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آدرس
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Tarbiat Modares University, Iran, Tarbiat Modares University, Iran, Tarbiat Modares University, Iran, Nilab Sanat Alborz Company, Iran
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Authors
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