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采用涡轮膨胀机的有机朗肯循环系统优化
Alternative TitleOptimization of an Organic Rankine Cycle System with Turbo-Expander
刘茜1,2,3,4; 刘莉娜5; 王令宝1,2,3,4; 卜宪标1,2,3; 李华山1,2,3
2017-02
Source Publication新能源进展
ISSN2095-560X
Volume5Issue:1Pages:23-31
Abstract针对采用涡轮膨胀机的低温亚临界有机朗肯循环(Organic Rankine cycle,ORC)系统,以R245fa为循环工质,基于EES(Engineering Equation Solver)软件建立了数学模型。在给定的冷热源参数条件下,以单位净发电量所需的总传热面积和循环热效率为目标函数,采用共轭方向法对ORC系统进行多目标优化,并在此基础上研究了冷热源参数变化对综合目标函数的影响规律。结果表明:存在最优的换热器夹点温差和涡轮膨胀机转速使ORC系统的综合目标函数最小;当换热器夹点温差和涡轮膨胀机转速恒定为优化值时,ORC系统的综合目标函数随着热水进口温度的升高而降低,随着冷却水温度、热水和冷却水进出口温差的升高而逐渐升高。
Other AbstractUsing R245fa as working fluid,a mathematic model for subcritical organic Rankine cycle(ORC)system with turbo-expander driven by low-temperature heat source was built based on Engineering Equation Solver software.Under specific working conditions,with total heat transfer area per unit net power output and thermal efficiency as objectivefunctions,the ORC system was multi-objectively optimized by the conjugate directions method.Based on the optimization,the influence of hot and cooling water parameters on the objective functions was also investigated.The result shows that there is an optimum pinch point temperature difference in the heat exchangers and an optimum turbo-expander rotationalspeed that can minimize the combined objective function of ORC system.Under the optimum pinch point temperature difference and turbine rotational speed,the increase in the hot water inlet temperature will reduce the ORC system’s combined objective function,but the rise in the cooling water temperature and the temperature difference between the inlet and outlet of hot water as well as cooling water will enlarge the combined objective function.
KeywordR245fa 低温余热 有机朗肯循环 涡轮膨胀机 参数优化 敏感性分析 R245fa low-temperature waste heat organic Rankine cycle turbo-expander parameter optimization sensitivity analysis
DOI10.3969/j.issn.2095-560X.2017.01.004
Language中文
Citation statistics
Document Type期刊论文
Identifierhttp://ir.giec.ac.cn/handle/344007/16543
Collection中国科学院广州能源研究所
Corresponding Author李华山
Affiliation1.中国科学院广州能源研究所,广州510640;
2.中国科学院可再生能源重点实验室,广州510640;
3.广东省新能源和可再生能源研究开发与应用重点实验室,广州510640;
4.中国科学院大学,北京100049;
5.中国航天建设集团有限公司,北京100071
First Author AffilicationGuangZhou Institute of Energy Conversion,Chinese Academy of Sciences
Recommended Citation
GB/T 7714
刘茜,刘莉娜,王令宝,等. 采用涡轮膨胀机的有机朗肯循环系统优化[J]. 新能源进展,2017,5(1):23-31.
APA 刘茜,刘莉娜,王令宝,卜宪标,&李华山.(2017).采用涡轮膨胀机的有机朗肯循环系统优化.新能源进展,5(1),23-31.
MLA 刘茜,et al."采用涡轮膨胀机的有机朗肯循环系统优化".新能源进展 5.1(2017):23-31.
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