Issue |
MATEC Web Conf.
Volume 367, 2022
21st Conference on Power System Engineering
|
|
---|---|---|
Article Number | 00012 | |
Number of page(s) | 11 | |
DOI | https://doi.org/10.1051/matecconf/202236700012 | |
Published online | 14 October 2022 |
CFD Simulation and Flow Study of a Velocity Compounded Radial Re-Entry Turbine - Elektra
1
OTH Regensburg, Turbomachinery Laboratory, Galgenbergstr. 30, 93053 Regensburg, Germany, +49 941 943 9965
2
OTH Amberg-Weiden, Center of Excellence for Cogeneration Technologies, Kaiser-Wilhelm-Ring 23, 92224 Amberg, Germany, +49 9621 482 3531
* e-mail: fabian.janischowsky@oth-regensburg.de
** e-mail: d.stuempfl@oth-aw.de
*** e-mail: ph.streit@oth-aw.de
**** e-mail: a.weiss@oth-aw.de
† e-mail: andreas.lesser@oth-regensburg.de
In order to meet the targets set out in the Paris climate agreement of 2015, the energy sector needs to be restructured. In Germany for example the goal is to move out of both nuclear and coal-fired power. In order to fulfil more demanding energy requests alternative sources of energy must be found and made available. One component is the usage of Waste Heat Recovery.
This paper deals with the evaluation simulation of an Elektra turbine, which concept is a velocity compounded radial re-entry single wheel turbine. Based on the first turbine design, multiple simulations were carried out in order to maximize the efficiency. With these simulations, optimization opportunities are described and identified. The paper concludes with a comparison of the results achieved by numerical simulation and on the experimental test bench. The main focus for this paper is to analyze the actual flow phenomena to identify possibilities for further improvements. All simulations were calculated with the commercial software FINETM/TURBO 15.1.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.