FCC Ethylene/Propylene Optimization Advisor

FCC Ethylene/Propylene
Optimization Advisor

Optimizing FCC Efficiency with Smart Recommendations

Physics Meets AI: Hybrid Models for Optimization.

Introducing the FCC Optimization Solution—an AI/ML-powered platform designed to maximize ethylene and propylene yields by providing operators with controlled set points for both fixed and variable Riser Operating Temperatures. Tailored for process engineers and plant operators, the FCC Optimization Solution enhances product yields, minimizes losses, and unlocks significant cost savings across your operations.

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2%

Increase in Ethylene product yield.

10%

Increase in Propylene Product yield.

12%

Increase in overall Ethylene + Propylene Product yield

Hybrid Model

Our model provides precise operator set points for optimizing key variables in two scenarios: Fixed Riser Operating Temperature and Variable Riser Operating Temperature. In both scenarios, ethylene and propylene yields are maximized by adjusting:

Persons name, Company name

The AI-driven predictions from Lummus Digital helped us fine-tune our processes and maintain consistent product quality.

By leveraging real-time insights, we’ve reduced downtime, improved efficiency, and achieved significant cost savings across our operations. This solution has empowered our team to make smarter, data-driven decisions, ensuring optimal performance and long-term reliability

Persons name, Company name

The AI-driven predictions from Lummus Digital helped us fine-tune our processes and maintain consistent product quality.

Persons name, Company name

The AI-driven predictions from Lummus Digital helped us fine-tune our processes and maintain consistent product quality.

Your Roadmap to Digital Transformation Awaits You Today.

Discover key strategies and actionable insights to fast-track your digital transformation journey and drive meaningful results.

Transform your Challenges into Opportunities

The FCC Optimization Model aims to achieve maximum conversion by utilizing DCS and Feed Quality data in real time. The AI/ML platform delivers essential DCS set points and recommendations for plant operators and process engineers, facilitating the achievement of desired product rates. Experience increased recovery, real-time predictions of downstream product quality parameter values, transforming your operations for enhanced efficiency and profitability!

Pain Point

Yield Limitations at Maximum Riser Operating Temperature (ROT)

Benefit

Fixed ROT Maximization Optimizer: Provides insights into possible yield increases for both ethylene and propylene

Pain Point

Uncertainty in optimization mode selection

Benefit

Dual ROT Optimization: Evaluates both fixed and variable ROT scenarios to reveal potential yield improvements.

Performance Deviation Prediction

DCS and LIMS data for both the feed and the product are received, providing essential information for further analysis and processing.

Key Parameter Monitoring

The operator Selects optimization mode- Fixed ROT or Variable ROT with maximum E+P yield

Process and Efficiency Trends

Every hour, the optimizer model runs based on the optimization mode last selected by user and the latest DCS and LIMS Data

Operational Benchmarking

The Results from the optimizer are published on the Dashboard table

Actionable Insights for Improvement

Comparison plot between “Current Operation” vs. “Optimized Operation“ is shown on the Dashboard

Petrochemicals

Refining

Sustainability