Real-Time Optimization (RTO)
Operating conditions, feedstock availability and plant dynamic behavior often stray from what was planned during the design & build phase, resulting in sub-optimal productivity.
Visionaize's RTO solution is designed to maximize production/yield and minimize energy consumption, through a combination of “first principle” physics-based models and advanced AI algorithms.
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Common Problems, Unique Solutions
Plant Predictive Model
Plant fundamental model using AI and engineering models along with safe & stable operating range
AI Optimization
Advanced AI algorithms to determine global maxima/ minima that continuously optimizes performance
Flexible Objectives
Profit, yield, energy – freely adapt to the operating goals that are most critical
Open or Close Loop
RTO as an advisor for open loop and Integrated RTO + software agnostic APC for close loop
Optimizing Performance Means Adapting for Change
We all know that plant behavior changes over time. Product requirements get updated. Feedstock availability fluctuates. The only way to maximize performance over time is to be able to adapt to changing conditions. Visionaize's RTO solution addresses these plant dynamics by using its AI capability and domain, optimization & process control expertise.
Optimize Yield, while Staying within Safe & Stable Limits
- Continuous production of optimal product mix
- Yield improvements of overall liquid products
- Decrease energy consumption by 5-10%
- Improve margins by 3-5%
Refinery Optimization: Fluid Catalytic Cracking
A large refinery in The Middle East often experienced changes in product requirements, feedstock availability and also observed dynamic behavior of their FCC unit. However, their FCC unit was not designed for these dynamic conditions. Hence, there was always a gap between current and optimal performance of the FCC unit, leaving a lot of benefits on the table.
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RTO enables continuous production of the optimal product mix, drives greater yield, increases margins and decreases energy consumption.