Discipline: Technology and Engineering
Subcategory: Environmental Engineering
Rudy Salomon - Texas A&M University-Corpus Christi
Co-Author(s): Francisco Haces, Texas A&M Kingsville, Texas ; Dr. Hua Li, Texas A&M Kingsville, Texas
In today’s society, it’s essential to have an alternative energy to the current use of fossil fuels. Wind energy is very important due to the continual rise of global CO2 emissions.
The Goal of this research is to identify a windfarm layout that will produce the most amount of alternative energy while using the same amount of wind turbines in the same amount of space.
It is important to understand the fundamentals of a wind farm layout. There are many factors to consider during the layout design of a windfarm. The formation of a wind turbine farm is essential in energy optimization because it can reduce what is called a ‘wake-effect’.
In this research, we will demonstrate that the use of genetic algorithms in MATLAB can show a wind farm layout that will produce a maximum power output of energy over time. With the use of this research, performance in wind turbines can be improved and eventually reduce the use of oil and gas for energy.
An experiment study has also been performed to show how the wake effect works with wind turbines. For future research it would be great to compare the performance of wind farm layout on land and body of water.
Funder Acknowledgement(s): This work was supported by the National Science Foundation, Research Experience for Undergraduates Integrating Research in Sustainable Energy and the Environment across Disciplines. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Thanks to Francisco Haces and Dr. Hua Li.
Faculty Advisor: Hua Li, Hua.firstname.lastname@example.org
Role: Matlab Coding, Wind farm layout optimization. Wind turbine blade design, windfarm layout experimentation, analysis, conclusion and report.