Characterizing fluidized bed behavior by decomposition of chaotic phase space trajectories
- USDOE Morgantown Energy Technology Center, WV (United States)
- Oak Ridge National Lab., TN (United States)
Recent applications of chaotic time series analysis to gas fluidized beds have demonstrated that substantial information about fluidization conditions within the. bed can be extracted from voidage and pressure drop data. In this paper, a technique is presented to characterize fluidized bed behavior based on the crossings of the phase space trajectory through the principal component planes. Starting with either pressure drop or void fraction versus time data, time series embedding and principal component analysis is used to construct a phase space trajectory for the data. This trajectory characterizes the dynamical state of the bed. The technique presented decomposes the trajectory by sorting the orbits into types characteristic of different modes of bed behavior, such as emulsion phase fluctuations, bubbling, slugging, bubble coalescence, and de-fluidization. The basis for the method and the analysis of data from experiments in several fluidized beds will be presented. The overall goal of these studies is to improve the diagnostic and control of fossil energy fluidized bed processes.
- Research Organization:
- USDOE Morgantown Energy Technology Center, WV (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- OSTI ID:
- 10118612
- Report Number(s):
- DOE/METC/C-94/7116; CONF-931164-5; ON: DE94005962; NC: NONE
- Resource Relation:
- Conference: Annual meeting of the American Institute of Chemical Engineers,St. Louis, MO (United States),7-12 Nov 1993; Other Information: PBD: [1993]
- Country of Publication:
- United States
- Language:
- English
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