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Biogas generation from kitchen and vegetable waste in replacement of traditional method and its future forecasting by using ARIMA model 被引量:1
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作者 Pranta Roy md.ashik ahmed Md.Hakimuzzaman Shah 《Waste Disposal and Sustainable Energy》 2021年第2期165-175,共11页
Nowadays,traditional energy resources are going into a vulnerable condition gradually.On that note biogas is an emerging subsidiary solution.Generally,cow-dung is used as a basic raw material to produce biogas.In this... Nowadays,traditional energy resources are going into a vulnerable condition gradually.On that note biogas is an emerging subsidiary solution.Generally,cow-dung is used as a basic raw material to produce biogas.In this study,various forms of putrescible waste like kitchen and vegetable waste were giving emphasis to produce biogas as a replacement of cow dung as well as good management of putrescible waste.2000 kg of kitchen and 1050 kg of vegetable waste were used in a biogas plant continuously for 15 days with a waste/water ratio of 1:1.5.Average 133.33 kg of kitchen and 70 kg of vegetable waste generated 2.27 kg and 1.17 kg of biogas per day respectively.Moreover,the average time of burning of biogas for kitchen and vegetable waste was 7.92 h.and 4.08 h.per day in some respects.The benefit-cost ratio was greater than 1 for both cases that’s why it can be reckoned as an efficacious process.Autoregressive Integrated Moving Average(ARIMA)model was performed to forecast the amount of biogas generation for kitchen and vegetable waste for the next 10 years.The residual sum of square(RSS)value of the ARIMA model for kitchen and vegetable waste was 0.028437 and 0.139524 respectively which indicates accuracy.Finally,predictions of the amount of biogas generation are plotted with a 95%confidence interval.The forecast indicates that biogas from kitchen waste is more proficient than vegetable waste for the next 10 years.So,this putrescible waste can be a prominent raw material for next-gen biogas production. 展开更多
关键词 BIOGAS Putrescible waste Benefit-cost analysis Waste management Forecasting
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