Modelling and optimisation of the biogas yield after hybrid alkaline-ultrasonic pre-treatment in the early stages of anaerobic digestion of pot ale to shorten the processing time

https://doi.org/10.1016/j.psep.2020.08.013Get rights and content
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Highlights

  • CH4 yield over 2 days of digestion was increased significantly due to pre-treatment.

  • Significantly higher hydrolysis rates were achieved with regard to non-treated sample.

  • Alkaline-ultrasonic hybrid pre-treatment achieved 34 ± 1 % degree of disintegration.

  • Digestate mineral quality was found to be suitable for agricultural use.

Abstract

Whiskey distillery wastewater (pot ale) is classified as a high organic content wastewater and its year-long large discharge volume makes it a suitable substrate for anaerobic digestion from environmental and economical perspectives. Prior to anaerobic digestion, a hybrid alkaline-ultrasonic pre-treatment was performed in order to alter the lignocellulosic structure of the pot ale. Effects of alkaline dose (0–3 M NaOH), amplitude ratio (40–100%) and exposure time (1–3 h) of ultrasonic pre-treatment on CH4, CO2 and H2S generation within the first 2 days of anaerobic digestion were investigated at a lab scale batch reactor. Response surface methodology (RSM) was adopted as a process modelling and optimisation tool. Significant enhancements in the hydrolysis rate constant and methane yield were achieved in the early stages of digestion. The highest methane yield of the first 2 days digestion was 333 ± 5 mL/g VS after implementation of ultrasonic pre-treatment at 70 % amplitude for 3 h in isolation leading to 48 ± 4.4 and 56 ± 3.5 % reduction in chemical and biological oxygen demand respectively. The optimum pre-treatment conditions according to combined numerical and graphical optimisation, to maximise CH4 yield while minimising the H2S generation was identified as 40 % amplitude ratio, 1–2.5 h exposure time and 0 – 0.6 M NaOH.

Keywords

Anaerobic digestion
Pot ale
Alkaline pre-treatment
Ultrasonic pre-treatment
Mathematical modelling
Response surface methodology

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