Studies on long-term storage stability of biodiesel (B100) and its blend (B20) using Box-Behnken response surface method Pavalavana Pandian Jayaraman, M. Pugazhvadivu International Journal of Ambient Energy, 2018 The gradual depletion of fossil fuels has greatly enhanced the necessity to look for alternative fuels for automobile engines. In response to this, biodiesel is being considered as a promising and potential alternative substitute to conventional petroleum diesel. However, long-term storage stability of biodiesel is poorer compared to conventional petroleum diesel. The aim of the project work is to study the long-term storage stability of biodiesel (B100) and its blend (B20) prepared from used frying oil in different conditions of storage. In this work, the effect of antioxidants and temperature on long storage stability of biodiesel obtained from with respect to storage period is analysed using response surface methodology (RSM). The long storage of biodiesel obtained from used frying oils were optimised by varying parameters such as antioxidant concentration, storage period by Box-Behnken RSM. The properties such as the acid value and the viscosity of biodiesel were initially measured. The results of the investigation showed that the addition of sufficient concentration of antioxidant (pyrogallol) significantly maintains the acid value and viscosity of biodiesel and helps to store for a longer storage period at the given storage temperature.
Estimation of higher heating value of waste frying oil from its chemical properties Pavalavana Pandian Jayaraman, Sendhil Kumar Natarajan, M. Pugazhvadivu Applied Mechanics and Materials, 2014 Vegetable oils are considered as substitute for energy production. In this paper, a correlation was developed based on iodine and saponification values of the waste frying oil to estimate its higher heating value. Five samples of waste frying oil were collected, its iodine value and saponification value were measured and the heating values were measured. A correlation by linear regression method was developed and compared with the heating value obtained experimentally. A Comparison was made with other correlations available in the literature. The comparison of higher heating value obtained from new correlation and experiments gave a R2 value of 0.97, error of standard deviation is 0.06 and an average error of 1.86%.