Mechanical Engineering ETDs

Publication Date

Fall 11-6-2023

Abstract

A high-fidelity computational solver was developed with direct numerical simulation (DNS), large eddy simulation (LES), and Concurrent Precursor Method (CPM) capabilities. Extensive validation ensured the solver's accuracy in modeling fluid dynamics, including the wake characteristics of both utility and miniature-scale wind turbines. Key performance statistics (e.g., velocity and turbulence intensity profiles) were compared against established theoretical, computational, and experimental results. The study examined the influence of ground clearance on turbine performance, comparing two scenarios with different hub heights. Results showed that larger ground clearance facilitates quicker wake recovery. Finally, the study uses a nine-turbine array model to explore wind farm behavior under varying wind conditions and yaw angles. This analysis highlighted that wind speed variations and yaw adjustments impact wake characteristics and power output, with implications for optimizing wind farm efficiency. The research provides insights into enhancing energy extraction and advancing wind energy technology, contributing to sustainable renewable energy development.

Keywords

Large-Eddy Simulation, Wind-Farm Optimization, Variability of Wind Speed and Yaw Angle, Ground Clearance of Wind Turbine.

Degree Name

Mechanical Engineering

Level of Degree

Doctoral

Department Name

Mechanical Engineering

First Committee Member (Chair)

Dr. Yu-Lin Shen

Second Committee Member

Dr. Peter Vorobieff

Third Committee Member

Dr. Sang Lee

Fourth Committee Member

Dr. Gowtham Mohan

Document Type

Dissertation

Language

English

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