Set point optimization of controlled Organic Rankine Cycle systems

被引：11

作者：

Zhang, Jianhua ^{[1
]}

Lin, Mingming ^{[2
]}

Shi, Fei ^{[2
]}

Meng, Jia ^{[2
]}

Xu, Jinliang ^{[3
]}

机构：

[1] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Beijing 102206, Peoples R China

[2] North China Elect Power Univ, Sch Control & Comp Engn, Beijing 102206, Peoples R China

[3] North China Elect Power Univ, Beijing Key Lab New & Renewable Energy, Beijing 102206, Peoples R China

来源：

CHINESE SCIENCE BULLETIN | 2014年 / 59卷 / 33期

基金：

中国国家自然科学基金;

关键词：

Organic Rankine Cycle; Set point optimization; Energy conversion efficiency; Genetic algorithm; Least squares support vector machine; WASTE HEAT-RECOVERY; PARAMETRIC OPTIMIZATION; PERFORMANCE ANALYSIS; ORC; CONVERSION;

D O I：

10.1007/s11434-014-0590-1

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

In this paper, an approach to optimize set points is proposed for controlled Organic Rankine Cycle (ORC) systems. Owing to both disturbances and variations of operating point existing in ORC systems, it is necessary to optimize the set points for controlled ORC systems so as to improve the energy conversion efficiency. At first, the optimal set points of controlled ORC systems are investigated by revisiting performance analysis and optimization of ORC systems. The expected set points of the evaporating pressure and the temperature at evaporator outlet are then determined by combining genetic algorithm with least squares support vector machine (GA-LSSVM). Simulation results show that the predicted results by GA-LSSVM can be regarded as the optimal set points of controlled ORC systems with varying operating conditions.

引用

页码：4397 / 4404

页数：8

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