The increasing global demand for sustainable energy solutions has intensified research efforts on waste-to-energy technologies. Biomass and Refuse-Derived Fuel (RDF) co-gasification offers a promising alternative to conventional fossil fuels, enabling syngas production for energy generation while promoting circular economy principles. However, current gasification models present significant limitations, including a lack of transient modeling, simplified reaction kinetics, and restricted applicability to diverse RDF compositions. These gaps hinder predictive accuracy, scalability, and operational optimization, creating a critical need for advanced modeling approaches.
The CFD4SynGAS project aims to bridge these gaps by developing a high-fidelity Computational Fluid Dynamics (CFD) model capable of simulating biomass and RDF co-gasification with enhanced predictive accuracy. The project will integrate detailed reaction kinetics, transient behavior modeling, and sensitivity analyses to optimize syngas yield and reactor performance under varying operational conditions.
The research strategy is structured around four key objectives:
1. Developing and validating a robust CFD model for biomass and RDF co-gasification by leveraging experimental data and incorporating advanced reaction kinetics.
2. Extending model capabilities to diverse RDF compositions by adapting it to fuel heterogeneities, such as variations in ash content, moisture, and heating values.
3. Calibrating and validating the model’s scalability through simulation-driven approaches. 4. Optimizing process conditions, ensuring maximum syngas yield and process efficiency while minimizing tar formation.
