Adaptive Neuro fuzzy interface system (ANFIS) modeling of water content of biodiesel and diesel fuels

Fuel quality especially biodiesel is highly dependent to its water content and the major sources of water in the fuels relates to the transportation, production, and storage process. In this present contribution, a complete explanation of a powerful PSO algorithm coupled with ANFIS strategy was utilized to account the water content of biodiesel and diesel mixtures based on temperature and composition. Modeling results indicate that predicted values of water content are in good agreement with extracted experimental datasets. Also, accuracy and robustness of ANFIS-PSO strategy used for the prediction of water content of biodiesel and diesel mixture is comprehensible from comparing modeling results with experimental measurements. Therefore, ANFIS strategy can be employed as an assistive lever for engineers in the bio refineries for the prediction of the water content of the diesel and biodiesel blend at the production, transportation and storage process of biodiesel. Moreover, modeling results illustrates that the enviromental effect of biodiesel and produced undesierd product after biodiesel combustion is predictable using ANFIS modeling.

Automated summary

In this study, a powerful PSO algorithm coupled with ANFIS strategy was used to predict the water content of biodiesel and diesel mixtures. The modeling results showed good agreement with experimental data, demonstrating the accuracy and robustness of the ANFIS-PSO strategy. This strategy can be employed as an assistive lever for engineers in bio refineries to predict the water content of the diesel and biodiesel blend, as well as the environmental effects of biodiesel combustion.