OPEX Webinar: AI Plant Control: A Reinforcement Learning Approach to Process Optimization

Register now for the AFPM Webinar: AI Plant Control: A Reinforcement Learning Approach to Process Optimization

Artificial Intelligence Plant Control (AIPC), leveraging Reinforcement Learning (RL), offers a transformative approach to process plant optimization, addressing key limitations of traditional Model Predictive Control (MPC). Continuous improvement in plant profitability and safety demands an integrated approach, combining all digital tools for Advanced Process Control. Robust safety mechanisms and validation procedures are essential to prevent undesirable control actions. There must be a tight integration between various automation applications, such as procedural automation, AIPC, basic process control in DCS, and Safety Instrumented Systems. This webinar discusses insights from AIPC implementation at Air Separation Units, involving complex cryogenic distillation and heat integration processes.

Presenters
Rajeev Limaye, Director, Linde Advanced Operations Services
Lena Tetampel, Advanced Process Control Engineer, Linde Engineering

Moderator
Atique Malik, AIControl, LLC