The simultaneous dynamic optimization approach, coupled with a bi-level formulation for singular control, forms the core technology to determine optimal catalyst and temperature distributions for graded beds. A study for partial oxidation reactors has shown that the graded bed optimization increases the yield up to 34%, merely through the design of optimal catalyst and temperature distributions profiles within the reactor, without capital expense. The impact is also significant for new plant designs, where traditionally multi-reactor beds can be simplified to a single vessel, offering potential capital and energy benefits, in addition to chemistry yield improvements.
The process Systems Engineering (PSE) group at the CMU is internationally renowned and is the largest in the United States. The group focuses on systematic modeling and optimization strategies for multi-scale process systems engineering, covering the full spectrum from the molecular to the enterprise level. The Dow chemical is providing support for pilot plant data studies, validation of reactor models, and comparison with detailed industrial reactor models. The Dow chemical also provides technical guidance, industrial experience and internal modeling support.
Gathered kinetic measurements over mixed catalyst systems for syngas to olefins
Developed kinetic model for reactor optimization
Modeling of the syngas-to-olefins mechanism is continued using Hagan’s alpha model
Expanded numerical prediction of thermal runaway for various 1-D and 2-D reactor models