Investigation of the evolved pyrolytic products and energy potential of Bagasse: experimental, kinetic, thermodynamic and boosted regression trees analysis

Yu Zhang, Muhammad Raashid, Xiaoqian Shen, Muhammad Waqas Iqbal, Imtiaz Ali, Muhammad Sajjad Ahmad, David S.A. Simakov, Ali Elkamel, Boxiong Shen

    Research output: Contribution to journalArticlepeer-review

    2 Scopus citations

    Abstract

    This study explored bagasse's energy potential grown using treated industrial wastewater through various analyses, experimental, kinetic, thermodynamic, and machine learning boosted regression tree methods. Thermogravimetry was employed to determine thermal degradation characteristics, varying the heating rate from 10 to 30 °C/min. The primary pyrolysis products from bagasse are H2, CH4, H2O, CO2, and hydrocarbons. Kinetic parameters were estimated using three model-free methods, yielding activation energies of approximately 245.98 kJ mol−1, 247.58 kJ mol−1, and 244.69 kJ mol−1. Thermodynamic parameters demonstrated the feasibility and reactivity of pyrolysis with ΔH ≈ 240.72 kJ mol−1, ΔG ≈ 162.87 kJ mol−1, and ΔS ≈ 165.35 J mol−1 K-1. The distribution of activation energy was analyzed using the multiple distributed activation energy model. Lastly, boosted regression trees predicted thermal degradation successfully, with an R2 of 0.9943. Therefore, bagasse's potential as an eco-friendly alternative to fossil fuels promotes waste utilization and carbon footprint reduction.

    Original languageBritish English
    Article number130295
    JournalBioresource Technology
    Volume394
    DOIs
    StatePublished - Feb 2024

    Keywords

    • Bagasse
    • Boosted regression tree
    • Distributed activation energy model
    • Model-free kinetics
    • Pyrolysis

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