Nonlinear model predictive control of a fixed-bed water-gas shift reactor: An experimental study

Development of a single stage heat integrated water–gas shift reactor for fuel processing

“…Accordingly, the PrOx section can be operated at a lower air surplus and more stable operation of a downstream methanation section or PSA would result. Moreover, elaborate control schemes, such as model predictive control, that are applied for adiabatic reactors to minimize the effect of thermal waves travelling through the reactor [26,32,33] would not be required for the isothermal adiabatic concept. Instead a much simpler control of the reactor inlet temperature only can be applied, meaning that efficient control of the upstream heat exchanger would suffice.…”

“…where Le is the Lewis number, Pe th the thermal Peclet number and Da th the thermal Damköhler number [25,26]. The backwards transport of heat by conduction is promoted by decreasing the thermal Peclet number.…”

A Numerical Study of Hydrogen Production via High-temperature and Low-temperature Water-Gas Shift Reactors’ System: The Multi-Scale Modeling Approach and Simulation

“…The numerical study is performed on the WGSR for the H2 generation. In spite of the existence of the various numerical studies relating the WGSR (Ding and Chan 2008, Francesconi et al 2007, Seo et al 2006, Wright and Edgar 1994, insufficient attempt in the area of the multiscale world is realized at first glance. However, this effort provides a detailed numerical insight into the transport phenomena with multiscale studies in porous media (pellet and reactor scales) on the HTSR and the LTSR system in series.…”

Model Predictive Control of Nonlinear Processes

“…These approaches are developing a first principle model using available process knowledge and developing an empirical model from input-output data. The first principle modeling approach results models in the form of coupled nonlinear ordinary differential equations and various model predictive controllers based on this approach have been reported for nonlinear processes (Wright and Edgar, 1994 ;Ricker and Lee, 1995). The first principle models will be larger in size for high dimensional systems thus limiting their usage for MPC design.…”