Optimization of Pyrolysis of Biomass Using Differential Evolution Approach

Differential Evolution (DE) is an evolutionary optimization technique, which is exceptionally simple, significantly faster & robust at numerical optimization and is more likely to find a function’s true global optimum. Pyrolysis of biomass is an important and promising chemical process in the area of renewable energy sources. In the present study, the modeling and simulation of the above process is coupled with the optimization of a non-linear function using Differential Evolution. The objective in this problem is to estimate optimal time of pyrolysis and heating rate under the restriction on concentration of biomass. It serves as the input to the coupled ordinary differential equations to find the optimum values of volatiles and char using Runge-Kutta fourth order method.