Empirical and chemical equilibrium modelling for prediction of biomass gasification products in bubbling fluidized beds. (1st July 2020)

• Record Type: Journal Article
• Authors: Pio, D.T.; Tarelho, L.A.C.
• Is Part Of: Energy. Volume 202(2020)
• Publication Date: 2020-07-01
• Subjects: Biomass -- Bubbling fluidized bed -- Gasification -- Producer gas -- Chemical equilibrium -- Empirical modelling; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2020.117654
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: In this work, two approaches to predict the producer gas composition obtained by direct (air) biomass gasification in bubbling fluidized beds were developed and compared, namely empirical modelling based on reported experimental results in the literature and non-stoichiometric chemical equilibrium modelling. For this purpose, an extensive database containing a set of 19 published experimental results from the literature was compiled and a non-stoichiometric chemical equilibrium model developed. The prediction capability of the empirical and chemical equilibrium model was evaluated by comparison with experimental data obtained in an 80 kWth bubbling fluidized bed direct (air) biomass gasifier. The empirical model shows moderate accuracy in the determination of the producer gas composition (CO, H2 and CH4 ), whereas the chemical equilibrium clearly overestimates the concentration of H2 and CO, and underestimates the concentration of CH4, leading to subpar accuracy in the determination of typical gasification efficiency parameters. Thus, the empirical model is suited for preliminary estimates of gasification products, while black-box chemical equilibrium modelling, without experimental knowledge integration, is considered as unreliable for these gasification conditions. Highlights: Extended survey of experimental data on direct (air) biomass gasification. New empirical modelling approach to predict gasification process parameters. Literature data high variability is a barrier for empirical modelling. Nonstoichiometric chemical equilibrium is not reliable to predict gasification products.