Method and system to estimate variables in an integrated gasification combined cycle (IGCC) plant
Abstract
System and method to estimate variables in an integrated gasification combined cycle (IGCC) plant are provided. The system includes a sensor suite to measure respective plant input and output variables. An extended Kalman filter (EKF) receives sensed plant input variables and includes a dynamic model to generate a plurality of plant state estimates and a covariance matrix for the state estimates. A preemptiveconstraining processor is configured to preemptively constrain the state estimates and covariance matrix to be free of constraint violations. A measurementcorrection processor may be configured to correct constrained state estimates and a constrained covariance matrix based on processing of sensed plant output variables. The measurementcorrection processor is coupled to update the dynamic model with corrected state estimates and a corrected covariance matrix. The updated dynamic model may be configured to estimate values for at least one plant variable not originally sensed by the sensor suite.
 Inventors:
 Issue Date:
 Research Org.:
 GE Global Research, Niskayuna, New York (United States)
 Sponsoring Org.:
 USDOE
 OSTI Identifier:
 1093373
 Patent Number(s):
 8538561
 Application Number:
 13/053,690
 Assignee:
 General Electric Company (Niskayuna, NY)
 Patent Classifications (CPCs):

F  MECHANICAL ENGINEERING F01  MACHINES OR ENGINES IN GENERAL F01K  STEAM ENGINE PLANTS
Y  NEW / CROSS SECTIONAL TECHNOLOGIES Y02  TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE Y02E  REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
 DOE Contract Number:
 FC2607NT43094
 Resource Type:
 Patent
 Country of Publication:
 United States
 Language:
 English
 Subject:
 47 OTHER INSTRUMENTATION
Citation Formats
Kumar, Aditya, Shi, Ruijie, and Dokucu, Mustafa. Method and system to estimate variables in an integrated gasification combined cycle (IGCC) plant. United States: N. p., 2013.
Web.
Kumar, Aditya, Shi, Ruijie, & Dokucu, Mustafa. Method and system to estimate variables in an integrated gasification combined cycle (IGCC) plant. United States.
Kumar, Aditya, Shi, Ruijie, and Dokucu, Mustafa. Tue .
"Method and system to estimate variables in an integrated gasification combined cycle (IGCC) plant". United States. https://www.osti.gov/servlets/purl/1093373.
@article{osti_1093373,
title = {Method and system to estimate variables in an integrated gasification combined cycle (IGCC) plant},
author = {Kumar, Aditya and Shi, Ruijie and Dokucu, Mustafa},
abstractNote = {System and method to estimate variables in an integrated gasification combined cycle (IGCC) plant are provided. The system includes a sensor suite to measure respective plant input and output variables. An extended Kalman filter (EKF) receives sensed plant input variables and includes a dynamic model to generate a plurality of plant state estimates and a covariance matrix for the state estimates. A preemptiveconstraining processor is configured to preemptively constrain the state estimates and covariance matrix to be free of constraint violations. A measurementcorrection processor may be configured to correct constrained state estimates and a constrained covariance matrix based on processing of sensed plant output variables. The measurementcorrection processor is coupled to update the dynamic model with corrected state estimates and a corrected covariance matrix. The updated dynamic model may be configured to estimate values for at least one plant variable not originally sensed by the sensor suite.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2013},
month = {9}
}