Critical insights into ensemble learning with decision trees for the prediction of biochar yield and higher heating value from pyrolysis of biomass

Kandpal, Saurav; Tagade, Ankita; Sawarkar, Ashish N.

doi:10.1016/j.biortech.2024.131321

Bioresource Technology

2024

DOI: 10.1016/j.biortech.2024.131321

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Critical insights into ensemble learning with decision trees for the prediction of biochar yield and higher heating value from pyrolysis of biomass

Saurav Kandpal,

Ankita Tagade,

Ashish N. Sawarkar

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Cited by 2 publications

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Short-term power load forecasting based on SKDR hybrid model

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Short-term power load forecasting based on SKDR hybrid model

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et al. 2024

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Production of Bio-Oil via Pyrolysis of Banana Peel and Tire Waste for Energy Utilization

Rodrigues,

Pinto,

Leite

et al. 2024

Energies

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The energy crisis and environmental degradation are pressing challenges, intensified by population growth and the excessive generation of solid waste. Converting waste into energy, especially through pyrolysis, is a viable and sustainable alternative. This thermal process transforms waste such as banana peels and used tires into high-value products, such as gas, char, and bio-oil. This study aims to evaluate the production of bio-oil from the pyrolysis and co-pyrolysis of these materials, considering different proportions and temperatures, as well as using an Artificial Neural Network (ANN) to predict the composition of the bio-oils. The pyrolysis tests with 100% banana peel and 75% banana peel mixed with 25% tire showed a decrease in bio-oil yield with increasing temperature, with a drop of around 30% when comparing 500 °C to 400 °C. In contrast, co-pyrolysis with 50% of each material and 100% of the tire resulted in increases in bio-oil yield as the temperature rose. A Fourier Transform Infrared Spectroscopy (FTIR) analysis of the bio-oils showed the presence of relevant functional groups, while an elemental analysis and ANN provided accurate predictions of carbon, hydrogen, and nitrogen content. The results suggest that the co-pyrolysis of waste tires and banana peels is a viable alternative for the production of bio-oil.

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Critical insights into ensemble learning with decision trees for the prediction of biochar yield and higher heating value from pyrolysis of biomass

Cited by 2 publications

References 46 publications

Short-term power load forecasting based on SKDR hybrid model

Short-term power load forecasting based on SKDR hybrid model

Production of Bio-Oil via Pyrolysis of Banana Peel and Tire Waste for Energy Utilization

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