Distillation — AI for columns, reflux and energy
AI Autopilot optimizes column pressure, reflux ratio, reboiler duty and feed stage across crude, FCC, and specialty splits — hitting product spec with minimum steam and keeping the energy-intensive tower at its economic optimum.
概要
Distillation accounts for roughly 40% of process-industry energy use. A single poorly operated crude column wastes millions in steam per year. Operators know this; they also know that pushing too hard flirts with off-spec product.
Historical APC systems sit on top of columns — and tend to detune over time as feedstock drifts, fouling sets in, and ambient temperature shifts change condenser capacity.
BrainiAll AI Autopilot maintains a live dynamic model of each column, continuously re-calibrates against lab data, and issues reflux / duty adjustments that hold product quality at minimum utility cost — with operator override available at all times.
Autopilotの機能
連続的・多変数制御 — 単一ループPIDではありません。アドバイザリ層アーキテクチャにより安全性はそのまま維持されます。
Energy-minimum operation
Reflux & duty kept at the lowest values that still hit product spec.
Feedstock-aware tuning
Compensates for feed composition shifts detected via online NIR / GC.
Fouling & wear compensation
Slowly shifts setpoints as trays foul — no operator re-tuning required.
Constraint-aware pushing
Aware of condenser and reboiler limits per ambient condition.
Quality-soft-sensor prediction
Estimates product purity minutes ahead of lab — corrects before off-spec.
継続的に調整される変数
AIはサークルのすべてのセンサーを読み、最適なセットポイント組み合わせをリアルタイムで解決します。
- Reflux ratioEnergy vs separation trade.
- Reboiler dutySteam consumption.
- Column pressure (bar)VLE envelope driver.
- Feed stage / temperatureMatters for split.
- Tray differential pressureFlooding / weeping warning.
A large crude column can consume $15-30M of steam per year. A 10% reduction via AI-led reflux optimization is a $1.5-3M/year win — with payback in months.
