Thermodynamic and multi-objective optimisation of solar-driven Organic Rankine Cycle using zeotropic mixtures

被引:8
|
作者
Tiwari, Deepak [1 ]
Sherwani, Ahmad Faizan [1 ]
Arora, Akhilesh [2 ]
机构
[1] Jamia Millia Islamia, Dept Mech Engn, New Delhi, India
[2] Delhi Technol Univ, Dept Mech Engn, Delhi, India
关键词
Low-grade solar heat source; Organic Rankine Cycle (ORC); zeotropic mixtures; internal heat exchanger (IHE); multi-objective genetic algorithm (MOGA); WORKING FLUIDS; PERFORMANCE ANALYSIS; EXERGY ANALYSIS; ORC; SELECTION; PURE; ISOPENTANE;
D O I
10.1080/01430750.2017.1378718
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper communicates the performance of low-grade solar heat source powered Organic Rankine Cycle (ORC). To investigate the system performance, first law and exergetic efficiencies, power output are evaluated and compared for zeotropic mixtures of (iso)butane/(iso)pentane and cyclohexane/R123. The results indicate that there exists an optimal mass fraction for which energy and exergetic efficiencies, and power output are maximum corresponding to a given value of expander inlet temperature compared with pure fluids. However, the specific volume flow ratio of the expander is higher for zeotropic mixtures; which results in a lower economy of mixtures than pure fluids. The use of an internal heat exchanger in the system improves cycle performance. Moreover, the multi-objective genetic algorithm further improves the performance of ORC and exhibits better exergetic efficiency 51-57% and 0-14.09% reduction in lower expander-specific volume flow ratio (v(6)/v(5)) than thermodynamically optimised ORC.
引用
收藏
页码:135 / 151
页数:17
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