Name
Abstract | ||
|---|---|---|
In this paper, a data-mining approach is used to develop a model for optimizing the efficiency of an electric-utility boiler subject to operating constraints. Selection of process variables to optimize combustion efficiency is discussed. The selected variables are critical for control of combustion efficiency of a coal-fired boiler in the presence of operating constraints. Two schemes of generating control settings and updating control variables are evaluated. One scheme is based on the controllable and noncontrollable variables. The second one incorporates response variables into the clustering process. The process control scheme based on the response variables produces the smallest variance of the target variable due to reduced coupling among the process variables. An industrial case study and its implementation illustrate the control approach developed in this paper |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/TII.2006.890530 | IEEE Trans. Industrial Informatics |
Keywords | Field | DocType |
clus- tering,coal-fired boiler,asset optimization,constrained optimization,process control,index terms—asset optimization,energy,operating constraints,combusion efficiency,constraint-based control,electric-utility boiler,boilers,data mining,process control.,clustering,efficiency,indexing terms,optimization,data,sustainability,combustion | Combustion,Coupling,Computer science,Control engineering,Control variable,Process control,Cluster analysis,Boiler (power generation),Constrained optimization | Journal |
Volume | Issue | ISSN |
3 | 1 | 1551-3203 |
Citations | PageRank | References |
16 | 1.18 | 3 |
Authors | ||
2 | ||