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The unremitting population growth and industrialization caused augmented global energy requirements, resulting in challenges such as fossil fuel depletion, ecological pollution, and energy shortages. These confronts have emphasized the need to harness rich renewable energy resources (biomass), by enhancing thermo chemical conversion methods like co-pyrolysis. This paper explores biomass and medical waste plastics co-pyrolysis for high-valued production of bio-fuels. It highlights co-pyrolysis advantages, product yields, mechanisms, synergistic effects among biomass and waste plastics, and the impact of key parameters, such as feed ratio, reactor temperature, and oil yields. In a tubular reactor, non-catalytic co-pyrolysis experiments were conducted, employing Delonix Regia (DR) powder and varying proportions of medical waste plastics (PP). The pyrolysis temperature was systematically varied in 50 °C increments, spanning the range from 450 to 600 °C. The study encompassed a spectrum of feed compositions, ranging from 0 to 50 wt.% of DR within the mixture. Leveraging machine learning techniques for prediction of regression method, parameter optimization and data analysis, this study validates experimental outcomes and highlights the feasibility to predict non-catalytic co-pyrolysis yields of polypropylene (PP) and Delonix Regia (DR) for fuel oil production. The model predicts the opimum oil yield of 71% at 550 °C with 50% of each feed composition. It offers a promising avenue for enhancing co-pyrolysis efficiency and sustainability.

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Machine Learning Based Prediction of Liquid Fuel Production by Co-pyrolysis of Medical Waste Plastics and Delonix Regia

  • 会议论文

  • 发表日期：

    2025年

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  • Amar Kumar Das,
  • Rahul Biswal,
  • Saroja Kumar Rout,
  • Abhijit Mangaraj,
  • Amitrakshya Baral

摘要

The unremitting population growth and industrialization caused augmented global energy requirements, resulting in challenges such as fossil fuel depletion, ecological pollution, and energy shortages. These confronts have emphasized the need to harness rich renewable energy resources (biomass), by enhancing thermo chemical conversion methods like co-pyrolysis. This paper explores biomass and medical waste plastics co-pyrolysis for high-valued production of bio-fuels. It highlights co-pyrolysis advantages, product yields, mechanisms, synergistic effects among biomass and waste plastics, and the impact of key parameters, such as feed ratio, reactor temperature, and oil yields. In a tubular reactor, non-catalytic co-pyrolysis experiments were conducted, employing Delonix Regia (DR) powder and varying proportions of medical waste plastics (PP). The pyrolysis temperature was systematically varied in 50 °C increments, spanning the range from 450 to 600 °C. The study encompassed a spectrum of feed compositions, ranging from 0 to 50 wt.% of DR within the mixture. Leveraging machine learning techniques for prediction of regression method, parameter optimization and data analysis, this study validates experimental outcomes and highlights the feasibility to predict non-catalytic co-pyrolysis yields of polypropylene (PP) and Delonix Regia (DR) for fuel oil production. The model predicts the opimum oil yield of 71% at 550 °C with 50% of each feed composition. It offers a promising avenue for enhancing co-pyrolysis efficiency and sustainability.