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The development of a computer model for a fixed bed gasifier and its use for optimization and control
Benny Gøbel1, Ulrik Henriksen, Torben Kvist Jensen
1Biomass Gasification Group, Department of Mechanical Engineering, Technical University of Denmark, Nils Koppels Allé, DTU - Building 403, DK - 2800 Kongens Lyngby, Denmark.
Bioresource Technology
|October 24, 2006
Summary
A new mathematical model for fixed-bed gasifiers was developed and validated against experimental data. This model enabled the creation of a simple, efficient control strategy implemented in an automated power plant.
Area of Science:
- Chemical Engineering
- Thermodynamics
- Reaction Kinetics
Background:
- Fixed-bed gasifiers are crucial for converting biomass and waste into syngas.
- Optimizing gasifier performance and control is essential for efficient energy production.
- Accurate mathematical models are needed to understand and improve gasifier operation.
Purpose of the Study:
- To develop and validate a mathematical model for a fixed-bed gasifier.
- To investigate the stationary performance of the gasifier using the model.
- To identify an efficient control strategy for gasifier operation during load changes.
Main Methods:
- Development of a one-dimensional model based on conservation of mass and energy.
- Incorporation of gas-phase chemical equilibrium and Langmuir-Hinshelwood kinetics for char reactions.
- Validation of the model against experimental data.
- Thermo-gravimetric analysis to determine beech char reactivity.
Main Results:
- The mathematical model accurately predicted gasifier performance.
- An efficient and simple control strategy for load changes was identified.
- The control strategy was successfully implemented in an automated power plant, operating for over 3000 hours.
- Beech char reactivity was characterized as a function of temperature, gas composition, and conversion.
Conclusions:
- The developed mathematical model is a valuable tool for analyzing and controlling fixed-bed gasifiers.
- The identified control strategy enhances operational efficiency and stability.
- The study demonstrates the successful application of modeling and experimental analysis in optimizing power plant operation.
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