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The application of a genetic algorithm to estimate kinetic parameters for biomass pyrolysis from thermogravemetric data |
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| รหัสดีโอไอ | |
| Title | The application of a genetic algorithm to estimate kinetic parameters for biomass pyrolysis from thermogravemetric data |
| Creator | 1. Nithitorn Kongkaew 2. Witchaya Pruksakit 3. Adisak Pongpullponsak 4. Suthum Patumsawad |
| Publisher | Joint Graduate School of Energy and Environment |
| Publication Year | 2557 |
| Keyword | Kinetic triplet parameters, Thermogravimetric analysis, Rice straw, Genetic Algorithm |
| Abstract | A kinetic study of the pyrolysis process of rice straw was investigated using a thermogravimetric analysis, TGA and the weight loss was measure in nitrogen atmosphere. The samples were heated over a range of temperature from 298 K to 973 K with three different heating rates of 5, 10 and 15 K min-1. The kinetic triplet parameters such as activation energy E, pre-exponential A and reaction model f(?) were obtain by model fitting method which are exercised till date for evaluating the optimum overall kinetics parameters usually applied traditional gradient base optimization techniques but associated with major drawback of attaining global optimum due to uncertainties in selection of initial guess. To overcome such uncertainties and drawbacks, we have, applied the modern evolutionary optimization method (Genetic Algorithms, GA technique) for 14 models to attain the globally optimum kinetic parameters using the experimental TGA data and we did compare the experimental and simulated data to expect the possible mechanism to occur during pyrolysis. As rice straw case studies, the suitability of the models is also tested using the AIC score. 3D diffusion model is the best suited one and it also predicted the experimental TGA data successfully. The Avarami-Erofe'ev nucleation models also show good AIC score and well predicted the experimental TGA data. |
| ISBN | 978-616-92228-1-1 |
