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.

[1]  B. Babu,et al.  EVOLUTIONARY COMPUTATION FOR SCENARIO-INTEGRATED OPTIMIZATION OF DYNAMIC SYSTEMS , 1922 .

[2]  D. E. Goldberg,et al.  Genetic Algorithms in Search , 1989 .

[3]  B. Babu,et al.  MODELING & SIMULATION OF PYROLYSIS OF BIOMASS : EFFECT OF THERMAL CONDUCTIVITY , REACTOR TEMPERATURE AND PARTICLE SIZE ON PRODUCT CONCENTRATIONS , 2003 .

[4]  B. Babu,et al.  EVOLUTIONARY COMPUTATION STRATEGY FOR OPTIMIZATION OF AN ALKYLATION REACTION , 2002 .

[5]  B. Babu,et al.  Pyrolysis of biomass: improved models for simultaneous kinetics and transport of heat, mass and momentum , 2004 .

[6]  Rakesh Angira,et al.  OPTIMIZATION OF NON-LINEAR FUNCTIONS USING EVOLUTIONARY COMPUTATION , 2002 .

[7]  Rainer Storn,et al.  Differential Evolution Design of an IIR-Filter with Requirements for Magnitude and Group Delay , 1995 .

[8]  Feng-Sheng Wang,et al.  Simultaneous Optimization of Feeding Rate and Operation Parameters for Fed‐Batch Fermentation Processes , 1999, Biotechnology progress.

[9]  Moo Ho Lee,et al.  Dynamic Optimization of a Continuous Polymer Reactor Using a Modified Differential Evolution Algorithm , 1999 .

[10]  B. Babu,et al.  Modeling for pyrolysis of solid particle: kinetics and heat transfer effects , 2003 .

[11]  B. Babu,et al.  Estimation of heat transfer parameters in a trickle-bed reactor using differential evolution and orthogonal collocation , 1999 .

[12]  Rainer Storn,et al.  Differential Evolution-A simple evolution strategy for fast optimization , 1997 .

[13]  B. Babu,et al.  Parametric study of thermal and thermodynamic properties on pyrolysis of biomass in thermally thick regime , 2004 .

[14]  B. Babu,et al.  Dominant design variables in pyrolysis of biomass particles of different geometries in thermally thick regime , 2004 .

[15]  B. Babu,et al.  Influence of Product Yield, Density, Heating Conditions and Conversion on Pyrolysis of Biomass , 2004 .

[16]  B. Babu,et al.  Heat transfer and kinetics in the pyrolysis of shrinking biomass particle , 2004 .

[17]  Feng-Sheng Wang,et al.  Hybrid method of evolutionary algorithms for static and dynamic optimization problems with application to a fed-batch fermentation process , 1999 .

[18]  B. Babu MODELING & SIMULATION OF PYROLYSIS: INFLUENCE OF PARTICLE SIZE AND TEMPERATURE , 2002 .

[19]  Optimal Design of Shell-and-Tube Heat Exchangers by Different Strategies of Differential Evolution , 2001 .

[20]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[21]  B. Babu,et al.  A DIFFERENTIAL EVOLUTION APPROACH FOR GLOBAL OPTIMIZATION OF MINLP PROBLEMS , 2002 .

[22]  Rakesh Angira,et al.  OPTIMIZATION OF THERMAL CRACKING OPERATION USING DIFFERENTIAL EVOLUTION , 2002 .