Modelica-based dynamic analysis and design of lift-generating disk-type wind blade using computational fluid dynamics and wind tunnel test data

Yeongmin Yoo, Soyoung Lee, Jaehyun Yoon, Jongsoo Lee

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Wind power generation research and application technology have received much attention in the development of renewable energy. However, the traditional blade-rotating type wind power system has a number of drawbacks such as natural landscaping damage, flow-induced noise, and shadow flickering problems. In this paper, we propose a lift-generating disk-type blade power generation mechanism that can effectively generate wind power even with a simple structure considering the problems of the existing systems. Data on the lift force in relation to the shape of the designed blade were derived through a computational fluid dynamics simulation, and the Modelica language was used to model the integrated multi-physics wind power system. Then, a wind tunnel test was conducted using a small-scale model of the disk-type blade created to verify the simulation. The experimental results were in good agreement with the simulated results. Thus, we validated the modeling of the wind power system and applied the law of similarity to obtain the generator power output prediction results for the actual scale model.

Original languageEnglish
Pages (from-to)1-12
Number of pages12
JournalMechatronics
Volume55
DOIs
Publication statusPublished - 2018 Nov

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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