Modeling of Biodiesel Plant Design: Data Estimation and Generation Based on Suppositions and Interpolation

Abstract

This paper presents the approach for the Biodiesel plant design data estimation and generation to support the mathematical formulation of the model. Presented approach is based on certain suppositions. Design data is estimated by using actual fundamentals involved in the design of the resources and equipments. Later, the sample space is increased by generating the design data. Design data is generated using the concept of linear interpolation, where the basic data fitting model is developed and then the intermediate design data values are obtained to increase the sample space. This facilitates the formulation of mathematical model. Experimental results are obtained through the MATLAB implementation.