From waste to wealth: Can fluidized-bed gasification transform industrial practices?

• The European and Chinese regulatory frameworks on waste-based fuels are compared. • In-situ and ex-situ tar removal and tar cracking are assessed. • Alternative gasification processes can intensify H2 and reduce tars. • Machine-learning can be integrated to optimize syngas quality and yield. • Larger plant sizes, CFB reactors and gate fees on waste lower SNG production cost. Gasification is emerging as a key technology for producing energy and useful products from waste, while reducing landfill impact. Among the various gasification technologies, fluidized bed systems have emerged as particularly suitable for sustainable waste processing, owing to their superior thermal uniformity and ability to operate at industrial scales. However, the widespread deployment of fluidized bed gasification still faces major technical, economic, and environmental challenges. Continuous operation is hindered by tar formation and equipment fouling, a persistent challenge that has remained the primary technological barrier for decades, driving the need for integrated and advanced mitigation strategies, and bed material agglomeration induced by ash melting. Additionally, syngas quality can significantly deteriorate when heterogeneous feedstocks are used without advanced control strategies. The need for complex downstream tar removal systems also undermines the cost-competitiveness of this technology compared to alternatives for biofuel production. This vision paper does not aim to provide a comprehensive review of the relevant literature, but rather to synthesize the current state of the art and project it into the future, with a strong forward-looking perspective intended to guide technological innovation, industrial development, and policymaking with reference to the European and Chinese perspectives. Therefore, promising approaches to overcome current limitations are explored, including the development of energy efficient and economically competitive in situ and ex situ tar mitigation solutions, the implementation of advanced multivariable control strategies, and the application of machine learning for real-time process optimization. Furthermore, novel reactor designs and schemes are assessed with the goal of intensifying hydrogen concentration in the syngas and intrinsically minimizing pollutant and tar formation, such as in chemical looping gasification, sorption-enhanced gasification, and supercritical water gasification. Finally, by integrating recent experimental results and techno-economic assessments, this work offers a holistic perspective on how fluidized bed gasification of waste can be scaled up to industrial applications and reach syngas-based synthetic natural gas costs of below 50 €/MWh.