Prediction of Losses in Small Scale Axial Air Turbine Based on CFD Modelling

Ali Bahr Ennil, Raya Al-Dadah, S. Mahmoud, Ayad Al Jubori, K. Rahbar

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
222 Downloads (Pure)

Abstract

Efficient small scale axial air turbines play a major role in determining the overall conversion efficiency in certain energy cycles using renewable energy sources. Loss predictions are vital for the development and optimization of such small scale turbines. Since all published loss prediction schemes were developed for large scale turbines, therefore there is a need for an effective approach to predict such losses for the small scale axial turbines. This work aims to develop a new approach to predict the losses in a small scale axial air turbine using both conventional loss models and computational fluid dynamics (CFD) simulations. Results showed that the Kacker & Okapuu model gave the closest values to the CFD simulation results thus it can be used to produce the initial turbine design that can be further optimised through CFD simulations.
Original languageEnglish
Pages (from-to)3271-3276
JournalEnergy Procedia
Volume75
DOIs
Publication statusPublished - 1 Aug 2015
EventThe 7th International Conference on Applied Energy – ICAE2015 - Abu Dhabi, United Arab Emirates
Duration: 28 Mar 201531 Mar 2015

Keywords

  • Small Scale Axial turbine
  • CFD
  • Simulation
  • Total Loss

Fingerprint

Dive into the research topics of 'Prediction of Losses in Small Scale Axial Air Turbine Based on CFD Modelling'. Together they form a unique fingerprint.

Cite this