Anaerobic digestion is the biological degradation of organic waste in sequential phases, which produce energy-rich biogas as the primary end product. The anaerobic digestion system has shown a positive impact in mitigating greenhouse gas emission and improving resource utilisation. The biogas production is affected by different operational conditions and the organic waste characteristic, leading to inefficient process performance. Multivariate analysis can be used to analyse and quantify the relationship among different parameters. Correlation analysis and principal component analysis are used in this study to identify the related parameters and explaining the total variance. The input variables, such as the chemical composition, chemical oxygen demand, pH, volatile solids, alkalinity, temperature and reactor volume, are analysed with cumulative biogas production as the primary output variable. It is expected that two principal components are sufficient to explain the total variance. The regression analysis is then applied to identify the most influential parameters to predict the biogas production with acceptable coefficient values of determination. The results can provide insightful information to improve the process performance and achieve optimal biogas yield under different conditions.
|Position of speaker||Postdoc|
|Publication||Without publication of the article|
|Affiliation of speaker||University Technology Malaysia (UTM)|