DocumentCode :
1734143
Title :
Research on heat exchange control of thermodynamic system for tower poly thermal power generation
Author :
Liu Han ; Zhao Yue ; Qiu Min ; Xi Zhengwen ; Hua Wenhan
Author_Institution :
Sch. of Autom. & Inf. Eng., Xi´an Univ. of Technol., Xi´an, China
fYear :
2013
Firstpage :
7537
Lastpage :
7542
Abstract :
In this paper, the model of test-bed of high-temperature molten salt thermal system operating at various sunshine conditions has been established based on the process principle of power poly thermal power generation by data modeling method, in which a built high-temperature molten salt test-bed is chosen by research object. On the test-bed, electric heater is used to simulate different lighting conditions. The model of system input and output is identified based on least square support vector machines by field data acquisition for the flow rate of high-temperature molten salt, high temperature heat exchanger outlet steam temperature and the like. Because the heat exchange model is not a single in the different operation conditions, multi-model internal model control strategy is proposed to switch system automatically. Simulation experiments show that the proposed control strategy can meet the industrial applications and provide guides for heat exchange control of power poly thermal power generation.
Keywords :
data acquisition; electric heating; heat exchangers; heat transfer; high-temperature techniques; least squares approximations; power generation control; solar power stations; support vector machines; thermal power stations; data modeling method; electric heater; field data acquisition; heat exchange control; heat exchanger; high-temperature molten salt thermal system; industrial application; least square support vector machine; lighting condition; multimodel internal model control strategy; outlet steam temperature; sunshine condition; switch system; thermodynamic system; tower poly thermal power generation; Data models; Educational institutions; Electronic mail; Heating; Power generation; Support vector machines; Solar thermal power generation; modeling; multi-model internal model control; thermal system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an
Type :
conf
Filename :
6640765
Link To Document :
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