2011
DOI: 10.1016/j.egypro.2011.01.141
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Dynamic simulation of oxyfuel CO2 processing plants

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Cited by 15 publications
(5 citation statements)
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“…Static FPMs describe a system without the time dimension; thus, they can predict only timeindependent system responses [63]. In contrast, dynamic FPMs can predict process transient responses to both unexpected and expected disturbances [64] even before measurement data from the physical plant becomes available [43]. Therefore, dynamic FPMs have become essential for several applications throughout the plant lifecycle, including lifecycle stages during which the plant is not yet functioning.…”
Section: Related Work 21 Simulation-based Applications In Process Inmentioning
confidence: 99%
“…Static FPMs describe a system without the time dimension; thus, they can predict only timeindependent system responses [63]. In contrast, dynamic FPMs can predict process transient responses to both unexpected and expected disturbances [64] even before measurement data from the physical plant becomes available [43]. Therefore, dynamic FPMs have become essential for several applications throughout the plant lifecycle, including lifecycle stages during which the plant is not yet functioning.…”
Section: Related Work 21 Simulation-based Applications In Process Inmentioning
confidence: 99%
“…or operational variables, and thus provides general guidelines for the design, control, and operation of a process (Pottmann et al, 2011). When involved in the design phase, it can also be used to identify the feasibility of process arrangement and the possibility of control structure and operational strategy.…”
Section: Introductionmentioning
confidence: 99%
“…Based on the same consideration and approach, dynamic simulation and analysis of oxyfuel CO 2 CPU (Pottmann et al, 2011) was conducted to study transient processes, to evaluate and improve process design concepts, and to develop control and operational strategies. Postler et al (2011) established dynamic process model of an oxyfuel 250 MW power plant.…”
Section: Introductionmentioning
confidence: 99%
“…When it comes to dynamic simulation, this offers the prospect of being a powerful tool for obtaining the dynamic characteristics of oxy-fuel combustion power plants and providing valuable information about their operation. 12 Postler et al, 13 for instance, concentrated on dynamic power plant processes using a 250 MW e oxy-fuel combustion model, making it possible to understand in detail the load change and main fuel trip conditions caused by a flue gas circulation fan. Chansomwong et al 14 used gPROMS to develop a dynamic model of the CO 2 compression and purification system in an oxy-fuel combustion power plant.…”
Section: Introductionmentioning
confidence: 99%