Identification of Different Features of the Reported Alternative Fuels using Exploratory Data Analysis (EDA)

Abstract

To reduce the carbon footprint in automobiles and other allied industries and to get rid of the dependency on exhaustible fossil fuels, researchers have been searching for alternatives to gain widespread acceptance. There are many performance and emission parameters on which a particular fuel (authentic/alternative) is dependent in terms of acceptability. So far, many researchers have reported a huge number of biofuels or biofuel blends that can be used as an alternative. In this study, the potential alternative fuels or biofuel blends are reviewed which were reported in different literature and are considered for Exploratory Data Analysis (EDA). An entire report is presented based on the features, this may help to identify biofuels for different operations. The correlations between the features are also investigated in this study, as well.