πŸ“‹ Case Study

FCC Unit Regenerator Coke Burn Optimization (ExxonMobil Baytown)

Incomplete coke burn leading to catalyst metal poisoning and excessive CO/NOx formation

πŸ—οΈ Project Overview

Reduction of NOx emissions and catalyst deactivation in fluid catalytic cracking regenerator

🎯 Challenge

Incomplete coke burn leading to catalyst metal poisoning and excessive CO/NOx formation

πŸ”§ Design Approach

Oβ‚‚-enriched air injection with spatially resolved thermocouple grid and kinetic model-based burner zone staging

πŸ“ Design Diagram

FCC Regenerator Coke Bed (Incomplete Burn) Zone 1: Oβ‚‚-enriched Air (25% Oβ‚‚) Zone 2: Kinetic-Optimized Staging Zone 3: CO/NOx Suppression TC Grid Oβ‚‚-Air Catalyst + Coke Exhaust (CO/NOx) rcoke = 0.82 g/gΒ·min [Oβ‚‚]0.5[Coke] d[NO]/dt = 12 ppmv kNO[N][Oβ‚‚]0.5 FCC Unit Regenerator Coke Burn Optimization

AI-generated project design illustration

πŸ“ Key Calculations

Coke Combustion Rate

r_coke = k Γ— [Oβ‚‚]^0.5 Γ— [Coke]
Result: 0.82 g coke/g catΒ·min
Target for full burn without hot spots

NO Formation Rate

d[NO]/dt = k_NO Γ— [N] Γ— [Oβ‚‚]^0.5
Result: 12 ppmv
Trigger for ammonia injection dosing

πŸ“Š Results

NOx reduced by 63%, catalyst cycle life extended by 22%, regenerator temp variance <Β±8Β°C

πŸ’‘ Lessons Learned

  • β€’Spatial heterogeneity requires distributed sensing + model coupling
  • β€’Kinetic inhibition by steam must be explicitly modeled

βœ… Key Takeaways

  • 1Spatial heterogeneity requires distributed sensing + model coupling
  • 2Kinetic inhibition by steam must be explicitly modeled