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Multicriteria Decision Model and Thermal Pretreatment of Hotel Food Waste for Robust Output to Biogas: Case Study from City of Jaipur, India. | LitMetric

AI Article Synopsis

  • The study assessed how thermal pretreatment at varying temperatures (60, 80, and 100°C) for different durations (10 and 20 minutes) influences biogas production from hotel food waste in Jaipur, India, over a 45-day anaerobic batch test.
  • Results indicated that pretreatment at 100°C for 10 minutes led to a 41% increase in total biogas production compared to untreated waste, with this method ranking highest in a multicriteria decision-making model.
  • Advanced techniques like modified Gompertz and Logistic models analyzed pretreatment effects, while scanning electron microscopy and Fourier transform infrared spectroscopy were used to explore changes in the physiochemical properties of the food waste.

Article Abstract

The anaerobic batch test (45 days at 37°C) was performed to describe the effect of thermal pretreatment at moderate temperatures (60, 80, and 100°C) over durations of 10 and 20 minutes on the enhancement of biogas production using hotel food waste from city of Jaipur, India. The results showed that the total cumulative biogas production with thermal pretreatment (100°C, 10 minutes) was 41% higher than the control. Also, this alternative gets first rank using multicriteria decision making model, VIKOR. This outcome was obtained due to the enhancement of degradation of organic compounds such as protein and volatile solids that occurred in the linear trend. Modified Gompertz and Logistic models were used to study the effect of different pretreatment parameters on lag time and biogas yield. Scanning electron microscopy and Fourier transform infrared spectroscopy were also employed to investigate the effect of thermal pretreatment on the physiochemical properties of food waste.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6165605PMC
http://dx.doi.org/10.1155/2018/9416249DOI Listing

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