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外文期刊>Journal of King Saud University
>Optimization strategies for improved biogas production by recycling of waste through response surface methodology and artificial neural network: Sustainable energy perspective research
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Optimization strategies for improved biogas production by recycling of waste through response surface methodology and artificial neural network: Sustainable energy perspective research
ObjectiveThe primary aim of the study is to augment the biogas production from flower waste through optimization and pretreatment techniques.MethodsEnhancement of biogas production by using response surface methodology (RSM) and artificial neural network (ANN) was done. The time for agitation, the concentration of the substrate, temperature and pH were considered as model variables to develop the predictive models. Pretreatment of withered flowers was studied by using physical, chemical, hydrothermal and biological methods.ResultsThe linear model terms of concentration of substrate, temperature, pH, and time for agitation had effects of interaction (p?
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