Microalgal gasification is an emerging technology that supports low-carbon energy transition by converting microalgal biomass into syngas, a versatile source of renewable energy and chemical feedstocks, while mitigating greenhouse gas emissions. This review examines recent literature on modelling strategies for optimising microalgal gasification to improve process performance and sustainability. We highlight how microalgal characteristics (e.g., lipid/protein/carbohydrate fractions, moisture and ash contents, and heteroatoms) influence syngas composition, tar/char formation, and emission precursors, and how reactor design and operating conditions (temperature, pressure, steam/oxygen ratio and residence time) govern conversion efficiency. Thermodynamic, kinetic and computational fluid dynamics (CFD) models are discussed and compared in terms of predictive scope, data requirements and scale applicability, providing complementary insights from equilibrium limits to rate- and transport-controlled behaviour. Process simulation platforms (e.g., Aspen-based flowsheeting, CFD solvers and kinetic toolboxes) are summarised for parameter screening, reactor optimisation and scale-up. Key barriers include feedstock variability, energy-intensive dewatering/drying, limited microalgae-specific kinetic/thermochemical datasets and scarce pilot-scale validation. Future directions are proposed toward harmonized databases, integrated multi-model workflows coupled with techno-economic and life-cycle indicators, and data-driven surrogates for robust design and control. Overall, this review emphasizes that the strategic application of modelling and simulation tools is vital to advance the sustainability and commercial feasibility of microalgal gasification technologies.
扫码关注我们
求助内容:
应助结果提醒方式:
