Mechanical Engineering / Sustainable Energy Session:

Title:             Enhancement of a computer model to predict optimum composition of Biomass for combustion using J2SE 5.0 program
Authors:       Ranipet Hafeez BASHA, Shuichi TORII
Abstract:      The user interface based computer simulator was designed previously using Java 2 Secondary Edition (J2SE) 5.0 version software with a potential to simulate combustion parameters of various biomass types and generate numerical results. It also included moisture content feature that would influence the thermal output significantly. But the model was programmed only to simulate individually as per inputs from the user. In this paper combinatorial optimization based numerical method was implemented to enhance the computer model to predict the optimum composition of Biomass sample. It uses the principles of permutations and combinations along with probability methods to sort the ratios of the biomass sample. Numerical experiment was conducted by considering a virtual sample of refuse derived fuel type biomass which was simulated using the computer model. The total combinations generated by the predictor were around 10, 236 out of which 5, 610 were better combinations when compared with the simulation result. This software has an advantage of limiting the number of biomass samples for physical experimentation hence saving the resources. The user will be able to alter his
sample by considering optimum composition while performing physical experiment for better thermal output. However, 5% sampling rate was considered for evaluating the combinations in order to reduce the complexity and computational time. Artificial Neural Networks and Genetic Algorithms based methods can be applied to develop the model for better results.

Keywords:   Biomass, Combustion, Database, Computer Model, Numerical Simulation, Predictor
Pages:         428-431

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