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What We Do - APC

Improve the sustainable development of the Process Industry

We specialize in three main areas

Technology Transformation Consulting
From defining the “why” to implementing change across People, Process, and Technology.
Automation Systems Integration (MAC/MIV)
Large-scale control and supervision systems for complex industrial environments.
Autonomous Systems Development
Retaining and deploying operational know-how through advanced digital platforms.

APC

Model Predictive Control Technology

Autonomous Possible APC leverages cutting-edge Model Predictive Control (MPC) technology developed by our technology partner, expert with over 35 years of research in system identification and multivariable control.

The system combines real-time process modeling, optimization, and control to deliver a robust supervisory layer on top of traditional PID loops, allowing plants to safely operate closer to limits and achieve higher profitability through smarter control decisions.

Model-Based Predictive Control

  • Multivariable, dynamic process model forecasts plant behavior over a defined prediction horizon, enabling proactive and constraint-aware control.

Integrated Optimization Engine

  • Dual-layer optimization for economic objectives and control moves, delivering tighter regulation and higher yield with minimal energy use.

On-line Model Tuning Capability

  • Closed-loop system identification with PRBS excitation enables engineers to verify and fine-tune model fidelity during operation, ensuring the APC continues to perform optimally under changing process conditions.

Technology Core

  • Close-loop, multivariable identification with automatic model grading (A–D).
  • 3-term control move optimization for better response speed and robustness than traditional 2-term DMC.
  • Progressive deployment, controllers commissioned MV-by-MV as models mature.
  • Disturbance modeling for proactive compensation and rejection.

Partial reference

Petrochemical plants.

  • Applied across ethylene, cracking, and separation units to stabilize process dynamics.
  • Improved product quality consistency and energy efficiency by minimizing oscillations and process variability.
  • Enhanced feed and furnace balance control, reducing manual interventions.
  • Optimized distillation and fractionation for tighter product specifications.
  • Achieved measurable economic benefits through higher throughput and lower utility consumption.

Coal-Fired Power Plant (China)

  • Load tracking improved by +53% in ramp rate and −82.5% in peak deviation.
  • Average load deviation reduced by 46% vs PID control.

Flue Gas Desulfurization (FGD) – NOx Control

  • Significant emission reduction with improved response to load variation (152–236 MW).

Cement Plant Kiln APC

  • More stable precalciner temperature (+4.4°C).
  • 15% coal reduction and 0.1% meal flow decrease, Consistent clinker quality.

Key Takeaways

  • APC transforms process control, turning data and models into real-time optimization.
  • Dynamic modeling and predictive algorithms enable the plant to “see ahead” and react before disturbances occur.
  • Proven MPC technology offers faster deployment and higher fidelity than legacy systems.
  • Integrates seamlessly with major DCS brands (Honeywell, Yokogawa, Emerson, Hollysys, SUPCON).
  • Delivers measurable results — higher throughput, tighter quality, safer operation.