Modelling, validation, and control of an industrial fuel gas blending system

Show simple item record

dc.contributor.author Muller, Cornelius Jacobus
dc.contributor.author Craig, Ian K.
dc.contributor.author Ricker, N.L.
dc.date.accessioned 2011-05-10T11:32:49Z
dc.date.available 2011-05-10T11:32:49Z
dc.date.issued 2011-04
dc.description.abstract In industrial fuel gas preparation, several compositional properties must be controlled within specified limits. This allows client plants to burn the gas safely and with consistent heat production. The variables to be controlled are the higher heating value (HHV), Wobbe index (WI), flame speed index (FSI), and header pressure. A plant in which six feed gasses are blended is considered. Four of the feeds are well-defined makeup streams (costly but always available) and the other two are byproducts that would otherwise be flared. The six feed rates comprise the manipulated variables (MVs) used to regulate the four controlled variables (CVs) while minimising the cost of the gas blend. The control system must compensate for feed composition and fuel gas demand variability. The development and validation of an industrial fuel gas header model is described, followed by a simulation study comparing three Model Predictive Control (MPC) strategies. It is shown that when iterative linearisation is used to update the prediction model and real-time optimisation (RTO) is used to update the CV and MV targets used in the MPC cost function, the plant is driven reliably to the optimal steady-state. en_US
dc.description.sponsorship ai2011
dc.identifier.citation C.J. Muller, et al., Modelling, validation, and control of an industrial fuel gas blending system. J. Process Control (2011), doi:10.1016/j.jprocont.2011.04.001 en_US
dc.identifier.issn 0959-1524
dc.identifier.issn 1873-2771
dc.identifier.other 10.1016/j.jprocont.2011.04.001
dc.identifier.uri http://hdl.handle.net/2263/16509
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.rights © 2011 Elsevier Ltd. All rights reserved. en_US
dc.subject Dynamic model en_US
dc.subject Model-based control en_US
dc.subject State-space model en_US
dc.subject Validation en_US
dc.subject Real-time optimisation (RTO) en_US
dc.subject Model predictive control (MPC) en_US
dc.subject.lcsh Fuel trade en
dc.subject.lcsh Predictive control en
dc.subject.lcsh Real-time control en
dc.subject.lcsh Gas industry en
dc.title Modelling, validation, and control of an industrial fuel gas blending system en_US
dc.type Postprint Article en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record