Title data
Klonowicz, Piotr ; Heberle, Florian ; Preißinger, Markus ; Brüggemann, Dieter:
Significance of loss correlations in performance prediction of small scale, highly loaded turbine stages working in Organic Rankine Cycles.
In: Energy.
Vol. 72
(2014)
.
- pp. 322-330.
ISSN 1873-6785
DOI: https://doi.org/10.1016/j.energy.2014.05.040
Abstract in another language
The comparison is made between various turbine loss models from the point of view of small, highly loaded impulse turbines operating in ORC cycles. The focus is laid on the influence of the passage and partial admission loss models and their combinations. The paper discusses the limitations concerning the small turbine designs for ORC and takes them into account in the analysis. A case study is provided for an ORC operating with cyclopentane. The cycle output power is in the range of a few to a few hundred kW. The last part of the results includes more generalized maps of efficiency plotted in the expansion ratio–size parameter domain. The results yield qualitative similarities between the efficiency values obtained by different model combinations. For low specific speeds the differences exceed 15% and for high specific speeds they are within about 5%.
Further data
Item Type: | Article in a journal |
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Refereed: | Yes |
Keywords: | ORC; Turbine; Efficiency; Loss correlations |
Institutions of the University: | Faculties Faculties > Faculty of Engineering Science Faculties > Faculty of Engineering Science > Chair Engineering Thermodynamics and Transport Processes Faculties > Faculty of Engineering Science > Chair Engineering Thermodynamics and Transport Processes > Chair Engineering Thermodynamics and Transport Processes - Univ.-Prof. Dr.-Ing. Dieter Brüggemann Profile Fields Profile Fields > Emerging Fields Profile Fields > Emerging Fields > Energy Research and Energy Technology Research Institutions > Research Units > ZET - Zentrum für Energietechnik Research Institutions Research Institutions > Research Units |
Result of work at the UBT: | Yes |
DDC Subjects: | 600 Technology, medicine, applied sciences > 620 Engineering |
Date Deposited: | 27 Nov 2015 07:57 |
Last Modified: | 26 Oct 2022 11:28 |
URI: | https://eref.uni-bayreuth.de/id/eprint/23025 |