Reactors — AI for CSTR, batch and PFR process control
Continuous optimization of reactor temperature, pressure, residence time, and catalyst feed. AI Autopilot maintains selectivity and yield across load swings, feedstock variability, and catalyst deactivation — without compromising safety interlocks.
概要
Reactors sit at the heart of most chemical plants — and at the heart of most plant economics. A one-percent yield uplift on a commodity chemical line is frequently worth millions per year. A selectivity slip can push an entire downstream separation train into crisis.
Static recipes and cascade PID are the traditional tools. They cope with a stable feedstock and fresh catalyst. They do not cope with: slowly shifting feed composition, progressive catalyst deactivation, heat-exchange fouling, or the interactions between all three at once.
BrainiAll AI Autopilot maintains a live digital twin of the reactor that incorporates kinetic models, inlet composition estimators, and wall-heat-transfer trends. It issues continuous setpoint updates that hold yield and selectivity at target while operators keep full override authority and safety interlocks remain untouched.
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。
Yield & selectivity control
Multi-variable optimization across temperature, residence time, and catalyst flow to hit recipe targets under varying feed.
Catalyst deactivation tracking
Soft-sensor estimates activity loss and guides temperature / pressure compensation curves.
Hot-spot / runaway prevention
Predicts thermal excursions minutes ahead and recommends pre-emptive action — SIS remains the final authority.
Batch-to-batch learning
Carries statistical lessons across batches to steadily improve performance without chasing a moving target.
Feed-composition estimation
Combines NIR / GC online with process data to infer feed shifts faster than lab samples.
Safety-first architecture
AI writes only to advisory setpoints. IEC 61508 SIS and emergency shutdown remain independent and certified.
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。
- Reactor temperature (°C)Kinetics driver; AI balances with selectivity window.
- Pressure (bar)Affects phase behavior and conversion equilibrium.
- Residence time (h)Batch / CSTR flow rate lever.
- Catalyst / reagent feedDirect dose control.
- Coolant / jacket flowHeat removal capacity in real time.
On a 100 kt/y commodity chemical line at $1,500/t, a 1% yield uplift is $1.5M/year. AI optimization deployed on three reactors in a Gulf Coast chemicals plant paid back in under 6 months with measurable improvements in both yield and energy intensity.
