Performance of Multiphase Anaerobic Hybrid Reactor for the Treatment of Biopesticide Wastewater

EasyChair Preprint 10513

Abstract

The major industries in the world are facing challenge in eliminating or decreasing the carbon footprint. The pioneer technological bioreactor, multiphase anaerobic hybrid reactor is identified as one of the high-rate anaerobic reactors that treat the high strength wastewater and simultaneously generate green energy biogas.  In this investigation, experimentations on the performance of the multiphase anaerobic hybrid reactor were conducted for the treatment of neem based biopesticide wastewater uninterruptedly for 115 days at mesophilic temperature (30 - 35˚C). The research was carried out in three different stages based on the acclimatization, variation in loading and hydraulic retention time. By operating the multiphase anaerobic hybrid reactor at different the organic loading (OL) such as 4.0, 5.0, 6.5 and 7.6 kg COD/m3 at 24 h hydraulic retention time (HRT), it was found that 6.4 kg COD/m3 as the most apt for conducting the further experiments for attaining better reactor performance with 96.0 % COD removal efficiency. Moreover, it was also observed that the biogas production rate increased with increase in organic loading. The generation rate of biogas ranged from 2810 mL/d to 7020 mL/d. Thereafter, the HRT was decreased from 24 h to 12 h and to 6 h by maintaining the organic loading constant at about 6.4 kg COD/m3. Furthermore, an adaptive-network-based fuzzy inference system modelling was applied with the obtained experimental raw data and compared. It was found that there was one to one correlation between the modelling and the experimental results.

Keyphrases: Bioenergy, Biopesticide wastewater treatment, Multiphase anaerobic hybrid reactor

@booklet{EasyChair:10513,
  author    = {P Mullai and E Sobiya},
  title     = {Performance of Multiphase Anaerobic Hybrid Reactor for the Treatment of Biopesticide Wastewater},
  howpublished = {EasyChair Preprint 10513},
  year      = {EasyChair, 2023}}