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Abstract
General guidelines on how to choose the optimal working fluid based on the hot source temperature available are reported. Based on a systematic approach, 26 commonly used working fluids are investigated by optimisations at hot source temperatures in the range 50-280 °C at intervals of 5 K. The genetic optimisation algorithm is used to optimise net power output by an optimal combination of turbine inlet pressure and temperature, condenser pressure, hot fluid outlet temperature, and mixture composition for mixtures. The results suggest that the optimum working fluid in terms of maximum net power output has a critical temperature approximately 30-50 K above the hot source temperature. When two or more fluids with the same critical temperature are available, the ones with a positive slope of vapour saturation line are generally favoured. When mixtures are considered, the optimal mixture composition should be chosen so that the critical temperature of mixture is approximately 30-50 K below the hot source temperature and the temperature glide during condensing should approximate the temperature rise of the cold source.
Original language | English |
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Journal | Energy |
Volume | 96 |
Pages (from-to) | 592-602 |
Number of pages | 11 |
ISSN | 0360-5442 |
DOIs | |
Publication status | Published - 1 Feb 2016 |
Keywords
- Critical temperature
- General guidelines
- Mixtures
- Optimisation
- Organic Rankine cycle
- Working fluid selection
Fingerprint
Dive into the research topics of 'Guidelines for optimal selection of working fluid for an organic Rankine cycle in relation to waste heat recovery'. Together they form a unique fingerprint.Projects
- 1 Finished
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THERMCYC - Advanced thermodynamic cycles utilising low-temperature heat sources
Hærvig, J. (Project Participant), Sørensen, K. (Project Manager), Condra, T. (Project Manager) & Singh, S. (Project Participant)
15/09/2014 → 14/09/2017
Project: Research
Research output
- 127 Citations
- 1 PhD thesis
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On the Adhesive Behaviour of Micron-sized Particles in Turbulent Flow: A Numerical Study Coupling the Discrete Element Method and Large Eddy Simulations
Hærvig, J., 2017, Aalborg Universitetsforlag. 227 p.Research output: PhD thesis
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