Prediction and Optimization of Biogas Production from OMW Digestion Using Fenton Pre-Treatment Process with Particle Swarm Optimization
Khalideh Al bkoor Alrawashdeh, La’al A. Al-Samrraie, Huthaifa Ahmad Al Issa, Isam Qasem, Ahmed A. Hussien, Kamel K. Al‐Zboon, Rebhi A. Damseh, Eid Gul
Abstract
Olive mill wastewater (OMW) has a high impact the environment. OMW has a high organic load, as well as high hazardous properties and low biodegradability. This necessitates the development and optimization of innovative treatment technologies. The classic Fenton's process (FP), which acts under environmental circumstances, offers an interesting option. The focus of this research is to investigate the FP (at various H2O2 concentrations and Fe +2 /H2O2 ratios) influences OMW's anaerobic digestion (AD). The results revealed that the higher removal efficiency of TCOD, BOD5, and polyphenols was achieved at FP-2-2 (2 g/kgVS of H2O2 concentrations and a ratio of 0.006 of Fe +2 /H2O2 (w/w)), which attained higher biogas yield (0.311 Nm 3 /kgVS) and CH4 content (68.3%). The particle swarm optimization (PSO) algorithm was developed to model and optimize biogas and CH4 production by detecting the optimal TCOD, BOD5, and polyphenol reduction by implementing various FPs. According to the PSO model, the optimum values of H2O2 and Fe +2 / H2O2 ratio were 2.0256 g/kgVS and 0.00608 for maximum removal efficiency of TCOD, 2.0019 g/kgVS for maximum removal efficiency of BOD5, and 2.0679 g/kgVS for maximum removal efficiency of polyphenols. Also, the curve fitting cftool was used by the MATLAB program to predict the biogas production at a different dose of FP. The result of fitting showed a good agreement between actual and predicted results.