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Biosolid Gasification Performance Prediction Using a Stoichiometric Thermodynamic Model.

Fangtian Li1, Xin Zhang1, Yun Ji1

  • 1Department of Chemical Engineering, University of North Dakota, Grand Forks, North Dakota 58202, United States.

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Summary

This study presents a thermodynamic model for biosolid gasification, optimizing energy recovery from wastewater solids. The model predicts syngas properties, showing temperature and moisture content significantly impact hydrogen production.

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Area of Science:

  • Chemical Engineering
  • Environmental Science
  • Thermodynamics

Background:

  • Wastewater treatment produces biosolids, posing disposal challenges.
  • Energy recovery from biosolids via gasification is a sustainable solution.
  • Accurate modeling is crucial for optimizing biosolid gasification.

Purpose of the Study:

  • Develop a stoichiometric thermodynamic equilibrium model for biosolid gasification.
  • Investigate the influence of various parameters on gasification performance.
  • Predict syngas properties, including hydrogen (H2) concentration.

Main Methods:

  • Utilized biosolid properties, thermodynamic data, and equilibrium constants.
  • Developed a model incorporating a char quantity adjustment for negative results.
  • Verified the model with woody gasification under isothermal conditions.
  • Simulated autothermal conditions, analyzing feedstock type, moisture, equivalence ratio, and reaction extension.

Main Results:

  • Adiabatic temperature was significantly influenced by all four tested factors.
  • Exergy efficiency was more sensitive to operational conditions than feedstock type.
  • H2 concentration in dry syngas showed a distinct curve against temperature (isothermal) and moisture content (autothermal).

Conclusions:

  • The developed model accurately simulates biosolid gasification.
  • Operational parameters like temperature and moisture content are key drivers for H2 production.
  • This research provides insights for optimizing energy recovery from biosolids.