Gasification is a highly efficient thermochemical process that can transform biomass into syngas—a mixture of hydrogen, carbon monoxide—through partial oxidation at elevated temperatures, making it an attractive waste recovery solution with reduced emissions. This study examines the gasification of prunings of apple trees (PAT) and wood pellets (WP), selected for their abundance and renewable potential. The GasDS simulation tool was used to analyse the influence of varying equivalence ratio (ER) on temperature, syngas yield and composition, and calorific values and the outputs were compared to experimental results using a spouted bed reactor. The results demonstrates that GasDS reliably predicts key gasification products trends validating the model’s accuracy. By refining the model and incorporating diverse feedstocks, its predictive accuracy might be enhanced, thereby optimizing waste conversion for improved energy efficiency. These findings underscore gasification's promise in sustainable waste management, offering a pathway to efficient, cleaner energy production and demonstrating the critical role of simulation tools in advancing waste valorisation technologies.

Modelling a Gasification Process for Agricultural Waste Using Gasds and Validation with Experimental Data

Manenti Flavio;
2025-01-01

Abstract

Gasification is a highly efficient thermochemical process that can transform biomass into syngas—a mixture of hydrogen, carbon monoxide—through partial oxidation at elevated temperatures, making it an attractive waste recovery solution with reduced emissions. This study examines the gasification of prunings of apple trees (PAT) and wood pellets (WP), selected for their abundance and renewable potential. The GasDS simulation tool was used to analyse the influence of varying equivalence ratio (ER) on temperature, syngas yield and composition, and calorific values and the outputs were compared to experimental results using a spouted bed reactor. The results demonstrates that GasDS reliably predicts key gasification products trends validating the model’s accuracy. By refining the model and incorporating diverse feedstocks, its predictive accuracy might be enhanced, thereby optimizing waste conversion for improved energy efficiency. These findings underscore gasification's promise in sustainable waste management, offering a pathway to efficient, cleaner energy production and demonstrating the critical role of simulation tools in advancing waste valorisation technologies.
2025
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1302887
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