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The production of renewable liquid fuels from captured CO2 and green H2 via Proton Exchange Membrane offers a sustainable alternative to fossil fuels, mitigating climate change while optimizing reaction routes to reduce energy consumption. This process involves syngas generation, Fischer–Tropsch Synthesis (FTS), and, when required, downstream upgrading such as hydroprocessing. This study models and simulates a simplified FTS process to enhance real-time optimization, monitoring, and dynamic simulations in Power-to-Liquid routes. Two modeling approaches were developed: a data-driven statistical conversion model and a semi-empirical model using Langmuir-Hinshelwood-Hougen-Watson (LHHW) kinetics with Anderson-Schulz-Flory (ASF) product distribution. These strategies focus on key hydrocarbon fractions, fitting experimental data to reduce model complexity. Results showed high accuracy in predicting syncrude distributions within the experimental range, with the semi-empirical approach showing better robustness across temperature variations. These methods provide a solid foundation for improving real-time monitoring, simulation, and optimization of renewable fuel production.
Menezes et al. (Fri,) studied this question.