CFD analysis of stall in a Wells turbine

Kellis Kincaid, David W. MacPhee

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

3 Scopus citations

Abstract

The Wells turbine is a self-rectifying device that employs a symmetrical blade profile, and is often used in conjunction with an oscillating water column to extract energy from ocean waves. The effects of solidity, angle of attack, blade shape and many other parameters have been widely studied both numerically and experimentally. To date, several 3-D numerical simulations have been performed using commercial software, mostly with steady flow conditions and employing various two-equation turbulence models. In this paper, the open source code Open- FOAM is used to numerically study the performance characteristics of a Wells turbine using a two-equation turbulence model, namely the Menter SST model, in conjunction with a transient fluid solver.

Original languageEnglish
Title of host publicationFuels, Combustion, and Material Handling; Combustion Turbines Combined Cycles; Boilers and Heat Recovery Steam Generators; Virtual Plant and Cyber-Physical Systems; Plant Development and Construction; Renewable Energy Systems
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791851395
DOIs
StatePublished - 2018
Externally publishedYes
EventASME 2018 Power Conference, POWER 2018, collocated with the ASME 2018 12th International Conference on Energy Sustainability and the ASME 2018 Nuclear Forum - Lake Buena Vista, United States
Duration: Jun 24 2018Jun 28 2018

Publication series

NameAmerican Society of Mechanical Engineers, Power Division (Publication) POWER
Volume1

Conference

ConferenceASME 2018 Power Conference, POWER 2018, collocated with the ASME 2018 12th International Conference on Energy Sustainability and the ASME 2018 Nuclear Forum
Country/TerritoryUnited States
CityLake Buena Vista
Period06/24/1806/28/18

Funding

The authors acknowledges support from the National Science Foundation’s Research Experience for Undergraduates (REU) program in conducting this research. The authors acknowledges support from the National Science Foundation's Research Experience for Undergraduates (REU) program in conducting this research.

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