Sewage sludge, a byproduct of wastewater treatment processes, possesses a complex physicochemical composition, making it valuable yet challenging to manage. This study explores its conversion into renewable energy through modular syngas production systems, which can offer decentralized, cost-effective solutions for electricity, heat, and cooling. To accommodate diverse compositions and varying working conditions, a simplified two-dimensional model is developed to support design optimization of the gasifier. By combining data-driven (the partial least square method) and kinetic-based approaches, the proposed two-dimensional model captures local phenomena and their distribution inside the gasifier without introducing large computational costs.