Conceptual design and parametric study of combined carbon dioxide/organic Rankine cycles
•Two stand-alone CO2 cycles are presented and discussed.•Four combined CO2/organic Rankine cycles are presented and discussed.•The operation optimization is conducted by genetic algorithm.•The Printed Circuit Heat Exchangers are adopted for the CO2 cycles. Nowadays, nuclear energy is one kind of eff...
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Published in | Applied thermal engineering Vol. 103; pp. 759 - 772 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
25.06.2016
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Subjects | |
Online Access | Get full text |
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Summary: | •Two stand-alone CO2 cycles are presented and discussed.•Four combined CO2/organic Rankine cycles are presented and discussed.•The operation optimization is conducted by genetic algorithm.•The Printed Circuit Heat Exchangers are adopted for the CO2 cycles.
Nowadays, nuclear energy is one kind of effective and clean energy resource. Supercritical carbon dioxide cycle proves to be a promising way of energy conversion for future nuclear power plants. In this paper, a CO2 recompression cycle and a partial-cooling CO2 cycle are presented. And the thermodynamic analyses of two above-mentioned cycles are discussed. The parametric analysis is conducted to examine the effect of some key parameters on the cycle performance. Moreover, four combined CO2/organic Rankine cycles are presented and optimized with the thermal efficiency and the exergy efficiency as their objective functions by means of genetic algorithm (GA) under the given conditions. And then the performance analysis is conducted for the optimal combined cycle. The results show that under one certain condition (Pmax=20MPa,TIT=550°C), the partial-cooling CO2 cycle is the optimal stand-alone CO2 cycle, and the combined simple CO2/organic Rankine cycle is proved to be the optimal combined cycle for utilizing nuclear power. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1359-4311 |
DOI: | 10.1016/j.applthermaleng.2016.04.046 |