On-line dynamic optimization of olefins plants

摘要: Abstract Over the years, olefins plants have evolved into highly integrated, flexible processing systems that can profitably adjust to ever changing landscape of raw material availability and market demand for high purity products. Advanced process control technologies such as model predictive (MPC) are commonplace in greatly improved consistency product quality constraint protection, typically resulted quick payback on investment. Another advanced technology, on-line optimization promises even greater benefits. Application traditional technology however remains a challenging task primarily because long dead times, mixed dynamics frequent disturbances. The steady state models used inadequate representation behavior most commercial plants. A unique approach dynamic processes is presented this paper. In plant not requirement optimization. This fully utilizes MPC has continuous savings some very paper briefly describes summarizes experiences from several completed in-progress projects.