Simulation of biomass gasification in bubbling fluidized bed reactor using aspen plus

•Aspen Plus® was used to simulate the gasification process in a BFB reactor.•Two kinetic models have been developed based on two literature kinetic models.•A large number of experimental data were used for the calibration and validation.•These models have also considered and evaluated the tar format...

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Veröffentlicht in:Energy conversion and management 2021-05, Vol.235, p.113981, Article 113981
Hauptverfasser: Puig-Gamero, M., Pio, D.T., Tarelho, L.A.C., Sánchez, P., Sanchez-Silva, L.
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Sprache:eng
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Zusammenfassung:•Aspen Plus® was used to simulate the gasification process in a BFB reactor.•Two kinetic models have been developed based on two literature kinetic models.•A large number of experimental data were used for the calibration and validation.•These models have also considered and evaluated the tar formation.•The model developed in Aspen Plus® give accurate predictions of experimental data. The direct (with air) gasification process of biomass in bubbling fluidized bed reactor was simulated using Aspen Plus®. The reactor was divided in three parts: the pyrolysis zone, combustion zone and reduction zone. The pyrolysis process simulation was supported by an external MS-Excel® subroutine to define the yield and composition of the main components, namely, char, gas and tar. Whereas the combustion and reduction processes were simulated using a kinetic model. These models were calibrated and thereafter validated with a set of distinct results from gasification of four different types of biomass using a pilot-scale bubbling fluidized bed reactor, with different equivalence ratio (from 0.17 to 0.35) and temperature (from 709 °C to 859 °C). The results obtained from the simulation, namely the concentration of CO, CO2, H2, CH4, C2H4 in the producer gas, were in good agreement with the experimental ones for a set of biomass types and operating conditions. Amongst the gases analysed, H2 gas was predicted with the lowest accuracy, always being overestimated; despite that, the highest absolute error obtained for H2 was only 4.4%. Finally, the tar concentration predicted was between 20 and 42 g/Nm3 and it decreased with the increase of equivalence ratio, temperature and biomass particle size.
ISSN:0196-8904
1879-2227
DOI:10.1016/j.enconman.2021.113981