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Wind Systems Magazine Looks at How HPC Impacts Renewable Energy

Research from WindSTAR is showing model-free control algorithms could help lower aging wind farms’ levelized cost of energy, thereby raising annual energy production.

 

The UT Dallas Mobile station used for field measurements with LiDAR. It is shown in a wind farm in North Texas. (Courtesy: Windstar)

As wind turbines age, their ability to efficiently create power starts to decline.

To help fix this problem, wind-farm owners and operators can replace parts to reduce that lost energy production, but that can turn into a costly proposition.

However, another method of increasing power production is being developed at WindSTAR, the National Science Foundation Industry-University Research Center for Wind Energy Science, Research and Technology. It’s now in its fifth year of operation and funded by the National Science Foundation.

By using high performance computing and model-free control algorithms, researchers at WindSTAR are demonstrating that subtle changes in a wind farm’s control software can increase the annual energy production (AEP), thereby lowering the levelized cost of energy (LCOE).

Click here to read the full article.

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