Volume 9 Number 11 (Nov. 2014)
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JCP 2014 Vol.9(11): 2580-2586 ISSN: 1796-203X
doi: 10.4304/jcp.9.11.2580-2586

Development of Multi-model for Cogeneration System Using Statistical Analysis

Jiao Chen1, Tianhong Pan2, and Yanqin Han2
1Changzhou College of Information Technology, Jiangsu, Changzhou 213164, China
2School of Electrical Information & Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China


Abstract—Cogeneration system is a nonlinear multivariate system with a wide operating regime. The efficiency of electricity generating and thermoelectric conversion coefficient of turbine generator are affected by many factors such as load variation, extracted steam change, and unstable supplied power etc. In this paper, a kind of identification algorithm has been proposed to build the statistical model of generating efficiency. Firstly, key variables are selected by using stepwise regression method. Then, statistical models are built in different operating regimes. The experimental results demonstrate the performance of the presented algorithm. The field engineer can take the developed model as a reference and determine the operating operation of cogeneration system. As a result, the performance of turbine generator is improved and the operating cost is reduced.

Index Terms—Cogeneration system, statistical analysis, stepwise regression, turbine generator.

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Cite: Jiao Chen, Tianhong Pan, and Yanqin Han, "Development of Multi-model for Cogeneration System Using Statistical Analysis," Journal of Computers vol. 9, no. 11, pp. 2580-2586, 2014.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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