Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


osu1314907225.pdf (3.5 MB)

ETD Abstract Container

Abstract Header

Large Eddy Simulation and LIDAR 3-D Mapping for Optimization of Wind Power Generation in Limited-space Applications

Zhu, Kunpeng
http://rave.ohiolink.edu/etdc/view?acc_num=osu1314907225

Abstract Details

2011, Master of Science, Ohio State University, Civil Engineering.
We use a recently developed high-resolution atmospheric large eddy simulation to determine the potential optimal locations for wind-powered turbines on OSU property. The Ohio State University (OSU) can increase its energy efficiency and reduce its carbon footprint by self producing some of the power it consumes with wind energy. The locations of future wind-powered turbines will have to fit within the existing constraints of building locations and forested park areas. Trees and building modify wind patterns and affect the efficiency of near-by wind turbines. In planning the optimal locations for future wind energy production, it is essential to have a tool that can resolve the effects of natural and manmade structures within a small, restricted-space property. Such a tool will be useful on the OSU campus and has broad commercial potential for middle-scale wind-energy produces. We used county mapping and LIDAR data to generate a 3-D map of the campus, which includes topography, land-use, buildings and vegetation at 3m resolution. The Regional-atmospheric-modeling-based Forest Large Eddy Simulation (RAFLES) resolves air flow and turbulence inside and above 3-D spatially explicit heterogeneous forest canopies and structures. We used a set of RAFLES simulations to develop a high resolution map of mean wind speed and turbulence on the OSU campus including the effects of current and planned campus buildings and green areas. These variables, combined with 30 years of weather data for Ohio were converted into "wind potential" maps that will be used to determine the optimal locations of wind-turbines, which are most efficient with a combination of strong wind with low turbulence. An ecological survey of vegetation and bird activity completes the picture by determining the potential impacts of turbine-induced micro-climatic changes.
Gil Bohrer (Advisor)
Alper Yilmaz (Committee Member)
Ethan Kubatko (Committee Member)
Civil Engineering; Environmental Engineering
wind power; optimization; large eddy simulation;

Recommended Citations

Citations

  • Zhu, K. (2011). Large Eddy Simulation and LIDAR 3-D Mapping for Optimization of Wind Power Generation in Limited-space Applications [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1314907225

    APA Style (7th edition)

  • Zhu, Kunpeng. Large Eddy Simulation and LIDAR 3-D Mapping for Optimization of Wind Power Generation in Limited-space Applications. 2011. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1314907225.

    MLA Style (8th edition)

  • Zhu, Kunpeng. "Large Eddy Simulation and LIDAR 3-D Mapping for Optimization of Wind Power Generation in Limited-space Applications." Master's thesis, Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1314907225

    Chicago Manual of Style (17th edition)

osu1314907225
529
© 2011, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.