Department
Computer Science
Major
Computer Science
Research Advisor
Das, Sajal K.
Advisor's Department
Computer Science
Abstract
This study is focused on the development of viable power generation modeling for small scale wind power installations. Armed with a viable model, businesses and individuals would have another option to reliably power small-scale buildings or installations. This study defines small-scale wind power turbines as those installed on buildings, or otherwise operating under 30 meters (~100 feet). Both of these installation environments provide inconsistent wind speeds, among other properties, that most wind power models do not address. Through the development of a sample wind turbine and accompanying weather station, multiple methods of prediction have been implemented with varying degrees of success.
Biography
Nathan Skelton is a senior studying Computer Science at the Missouri University of Science and Technology, and is expected to get his B.S. in May 2021. Along with his undergraduate research, he is the current CEO of the Missouri S&T Mars Rover Design Team.
Research Category
Sciences
Presentation Type
Poster Presentation
Document Type
Poster
Presentation Date
28 Apr 2017, 10:30 am - 10:45 am
Included in
Small-Scale Wind Power Prediction
This study is focused on the development of viable power generation modeling for small scale wind power installations. Armed with a viable model, businesses and individuals would have another option to reliably power small-scale buildings or installations. This study defines small-scale wind power turbines as those installed on buildings, or otherwise operating under 30 meters (~100 feet). Both of these installation environments provide inconsistent wind speeds, among other properties, that most wind power models do not address. Through the development of a sample wind turbine and accompanying weather station, multiple methods of prediction have been implemented with varying degrees of success.
