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WEB-25-28 AI Plant Control: A Reinforcement Learning Approach to Process Optimization
Rajeev Limaye, Linde Advanced Operations Services; Lena Tetampel, Linde Engineering Munich Germany
Format:
Streaming Video
Associate Member, International Member, Mid Stream Member, Petrochemical Member, Refining Member, Special/Temporary Member - $0.00
Government, NonMember - $150.00
Description:
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, Artificial Intelligence Plant Control (AIPC), basic process control in DCS, and Safety Instrumented Systems. This webinar will discuss insights from AIPC implementation at air separation units, involving complex cryogenic distillation and heat integration processes.
Product Details:
| Product ID: | WEB-25-28 |
|---|---|
| Publication Year: | 2025 |