CFD simulation methodology of cross-flow turbine with six degree of freedom feature

Warjito, Aji Putro Prakoso, Budiarso, Dendy Adanta

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The use of computational fluid dynamics (CFD) in cross-flow turbine pico sclae (CFT) numerical simulation is increased in several years using various methods. This study will explain step-by-step of cross-flow turbine pico sclae CFT numerical simulation using six degree of freedom (6-DOF) feature inside ANSYS® Fluent™ 18. The novel method in this study could be applied in future works. The simulation is running in two-dimensional domain and use SST model for turbulence phenomena modelling. Based on analysis, the number of mesh is 64k elements and timestep size of 0.0004 seconds is used because they have error below 1%. The numerical calculation results are lower than experimental results. Moreover, the average deviation between using 6-DOF approach numerical simulation and the experiment results in previous studies of around 6.8%. Thus, the 6-DOF approach can be used for CFT numerical studies.

Original languageEnglish
Title of host publication4th International Tropical Renewable Energy Conference, i-TREC 2019
EditorsEny Kusrini, I. Gde Dharma Nugraha
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735420144
DOIs
Publication statusPublished - 3 Sep 2020
Event4th International Tropical Renewable Energy Conference 2019, i-TREC 2019 - Bali, Indonesia
Duration: 14 Aug 201916 Aug 2019

Publication series

NameAIP Conference Proceedings
Volume2255
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference4th International Tropical Renewable Energy Conference 2019, i-TREC 2019
Country/TerritoryIndonesia
CityBali
Period14/08/1916/08/19

Keywords

  • cross-flow turbine
  • numerical Simulation
  • pico hydro
  • six degree of freedom

Fingerprint

Dive into the research topics of 'CFD simulation methodology of cross-flow turbine with six degree of freedom feature'. Together they form a unique fingerprint.

Cite this