An improved kinetic modelling of woody biomass gasification in a downdraft reactor based on the pyrolysis gas evolution. (15th April 2022)

• Record Type: Journal Article
• Authors: Rabea, Karim; Michailos, Stavros; Akram, Muhammad; Hughes, Kevin J.; Ingham, Derek; Pourkashanian, Mohamed
• Is Part Of: Energy conversion and management. Volume 258(2022)
• Publication Date: 2022-04-15
• Subjects: Aspen plus modelling -- Kinetic model -- Pyrolysis gas evolution -- Woody biomass -- Downdraft gasifier -- Aspen plus/MATLAB connection; Direct energy conversion -- Periodicals; Energy storage -- Periodicals; Energy transfer -- Periodicals; Énergie -- Conversion directe -- Périodiques; Direct energy conversion; Periodicals; 621.3105
• DOI: 10.1016/j.enconman.2022.115495
• Languages: English
• ISSNs: 0196-8904

Abstract

Highlights: New Aspen Plus/MATLAB kinetic model for the downdraft gasifier. Realistic representation of the non-condensable gas release. The model is validated against several woody biomass types. Prediction of the gasifier performance under different power loads. Abstract: Biomass gasification technology is evolving and more research through modelling alongside the experimental work needs to be performed. In the past, all the attention has been concentrated on the combustion and reduction stages to be the controlling reactions while the pyrolysis is modelled as an instantaneous process. In this study, a new enhanced model for the gasification process in the downdraft reactor is proposed with a more realistic representation of the pyrolysis stage as a temperature-dependent sequential release of gases. The evolution of the pyrolysis gas, followed by the combustion and reduction reactions, are kinetically controlled in the proposed model which is developed within the Aspen Plus software package. The simulation of the reactor temperature profile and the evolution of the pyrolysis gas is carried out in an integrated MATLAB and Aspen Plus model. The proposed model has been validated against experimental data obtained from the gasification of different woody biomass types and considering a range of scale reactor and power loads. The predicted results are in very good agreement with the experimental data, and therefore the model can be used with confidence to perform a sensitivity analysis to predict the performance of a gasifier at different load levels corresponding to the air flow rate range of 3–10 L/s. As the supplied air flow rate increases, the LHV decreases but the gas yield behaves conversely, and in turn the cold gas efficiency is maintained at a good level of energy conversion at ≥ 70%. Furthermore, the variation in the biomass moisture content, which is commonly in the range of 5–25 % has a significant effect on the gasification efficiency. Such that biomass that has a high moisture content substantially reduces the CO content and consequently the LHV of the produced gas. Hence, it is important to maintain the moisture content at the lowest level.