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Experimental Studies and Kinetic Modeling of Co-pyrolysis of Biomass and Plastic Wastes with the Combined Scheme of Kinetics and Machine-Learning

Liu, Hui (2023) Experimental Studies and Kinetic Modeling of Co-pyrolysis of Biomass and Plastic Wastes with the Combined Scheme of Kinetics and Machine-Learning. In: Pitt Momentum Fund 2023.

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Biomass as a renewable energy source can be utilized to generate biochar, biogas, and bio-oil through pyrolysis. Bio-oil can be upgraded to produce biofuels as an alternative to crude oils. Plastic waste is one of major waste sources and is hard to be recycled. Through the co-pyrolysis with biomass, plastic waste can be used to produce high-quality biofuels. On the other hand, the design of co-pyrolysis is challenging, because of the complexity of biomass and plastics. The fundamental understanding about co-pyrolysis kinetics is essential for the commercialization of co-pyrolysis. In this project, a series of experiments will be conducted to investigate co-pyrolysis of biomass and plastic waste. To study the kinetics, a scheme in which a knowledge-based model is combined with an experience-based model will be proposed to predict the process. In the proposed scheme, a parallel-reaction kinetic model will be developed as a knowledge-based model while an artificial-neural-network (ANN) model will be established as an experience-based model. The combined knowledge-experience based model will provide a thorough understanding on the co-pyrolysis. The findings from this project will be applied to facilitate the design and commercialization of the co-pyrolysis.


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Item Type: Conference or Workshop Item (Other)
CreatorsEmailPitt UsernameORCID
Liu, HuiHUL53@pitt.edu0000-0001-5973-3063
Centers: Other Centers, Institutes, Offices, or Units > Office of Sponsored Research > Pitt Momentum Fund
Date: 2023
Event Title: Pitt Momentum Fund 2023
Event Type: Other
DOI or Unique Handle: 10.18117/6ep3-1585
Schools and Programs: University of Pittsburgh at Johnstown
Refereed: No
Uncontrolled Keywords: Priming Grants - Engineering, Technology, Natural Sciences, and Mathematical Sciences
Other ID: 6140
Additional Information: Poster to be added by March 1, 2023.
Date Deposited: 15 Feb 2023 22:37
Last Modified: 22 Sep 2023 17:31


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