مطالعۀ امكان پياده‌سازي توزيع دماي بهينه در راكتور بستر ثابت توليد متانول از هيدروژنه‌كردن دي‌اكسيد كربن با استفاده از سيستم خنك‌سازي چندمرحله‌اي

This study eva‎luates two comprehensive approaches, a simple quasi-steady-state (QSS) model an‎d a complex dynamic model, to boost methanol production efficiency from CO2 hydrogenation in a multi-tubular fixed-bed reactor by identifying optimal cooling strategies in single- an‎d multi-stage systems. Key operating parameters, including pressure an‎d H2/CO2 ratio, are distinguished as pivotal to shifting equilibrium towards higher methanol production rates, while a tailored cooling system can effectively manage CO2 hydrogenation reactions. At first, the optimal temperature profile along the reactor’s length is determined using both models. The comparison of the results showed that both models exhibit similar behavior an‎d are in good agreement. Subsequently, a time-stepwise strategy is employed to achieve an optimal one-stage cooling system over 4 years. Results indicated that the QSS model offers a practical an‎d cost-effective approach compared to the dynamic model, facilitating consistent temperature control, particularly in multi-stage cooling systems. Meanwhile, the dynamic model adjusts coolant temperatures across the catalyst’s lifespan, achieving up to a 9.95% increase in methanol production rate under declining catalyst activity. Economic analysis reveals substantial revenue enhancements due to applying the optimal two-stage cooling strategy—up to $144.27 million over 4 years, underscoring the two-stage cooling system with higher performance as the promising potential to increase profitability in industrial CO2 hydrogenation. In conclusion, this study provides valuable insights into effective temperature management strategies to maximize

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