Modelling Biogas Fermentation from Anaerobic Digestion: Potato Starch Processing Wastewater Treated Within an Up flow Anaerobic Sludge BlanketPhilip Antwi1*, Jianzheng Li1, En Shi1, Portia Opoku Boadi2 and Frederick Ayivi3
- *Corresponding Author:
- Philip Antwi
State Key Laboratory of Urban Water Resource
and Environment, School of Municipal and Environmental
Engineering, Harbin Institute of Technology
73 Huanghe Road, Harbin 150090, PR China
E-mail: [email protected]
Received Date: March 07, 2017 Accepted Date: March 16, 2017 Published Date: March 20, 2017
Citation: Antwi P, Li J, Shi E, Boadi PO, Ayivi F (2017) Modelling Biogas Fermentation from Anaerobic Digestion: Potato Starch Processing Wastewater Treated Within an Up flow Anaerobic Sludge Blanket. J Bioremediat Biodegrad 8: 388. doi: 10.4172/2155-6199.1000388
Copyright: © 2017 Antwi P, et al. This is an open-a ccess article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Herein, a modeling approach to predict biogas yield within a mesophilic (35 ± 1°C) upflow anaerobic sludge blanket (UASB) reactor treating potato starch processing wastewater (PSPW) for pollutant removal was conducted. HRTs and seven anaerobic process-related parameters viz; chemical oxygen demand (COD), ammonium (), alkalinity, total Kjeldahl Nitrogen, total phosphorus, volatile fatty acids (VFAs) and pH with average concentration of 4028.91, 110.09, 4944.67, 510.47, 45.20, 534.44 mg/L and 7.09, respectively, were used as input variables (x) to develop stochastic models for predicting biogas yield from the anaerobic digestion of PSPW. Based on the prediction accuracy of the models, it was established that, prediction of biogas yield from the UASB with the combination of COD, NH4+ and HRT, or COD, NH4+, HRT and VFAs as input variables proved more efficient as opposed to HRT, alkalinity, total Kjeldahl Nitrogen, total phosphorus and pH. Highest coefficient of determination (R2) observed was 97.29%, suggesting the efficiency of the models in making predictions. The developed models efficiencies concluded that the models could be employed to control the dynamic anaerobic process within UASBs since prediction of biogas obtained in the UASB agreed with the experimental result.