ANALYSIS OF FACTORS THAT INFLUENCE RUBBER SEED OIL - BASED BIODIESEL PRODUCTION USING PRINCIPAL COMPONENT ANALYSIS AND KENDALL’S COEFFICIENT OF CONCORDANCE TECHNIQUES

Year 2019, Volume: 2 Issue: 2, 46 - 53, 31.12.2019

Ayodeji Omotehinse , P.o. Akpaka

Abstract

The
inability of oils and hydroelectric sources to meet the ever growing demand
experienced in global energy in recent years has generated a lot of concern.
The continuous increase in the demand for energy and the dwindling tendency of
petroleum resources has steered endless search for alternative renewable and
sustainable fuel. This study adopts a novel combination of Principal Component
Analysis (PCA) and Kendall’s Coefficient of Concordance (KCC) to analyze some
factors that affect rubber seed oil-based biodiesel production which has been
found to be a good substitute and most advantageous over petrol diesel because
of its environmental friendliness.  The KCC was used to analyze the data matrix
generated by thirteen Judges who were requested to rank the thirty-one variables
identified from relevant literature to influence biodiesel production in descending
order of importance upon which basis an index of concordance in ranking among
the judges was computed as W = 0.84. PCA was used to analyze the outcomes of
the questionnaires crafted with thirty-one of the well-ordered variables,
purposively selected, using statistiXL software. The results obtained by KCC provide
basic insight into how consistence the Judges were in ranking the variables
while the results by PCA shows that significant parsimony was achieved in
factor reduction from thirty one variables to mere seven factors which represent
the principal factors that influence rubber seed oil-based biodiesel
production.

Keywords

Rubber seed oil, Biodiesel, Principal component analysis, Parsimony

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