An Artificial Intelligence (AI) Software upgrade could improve the Efficiency of Wind Turbines, by ensuring they face directly into the Wind more of the time. If used Worldwide, the Technique could boost Electricity production by Five terawatt-hours a year, about the same amount as is consumed Annuallyby Albanir or 1.7 million average UK Homes.
Wind Turbines work most efficiently when directly facing oncoming Wind Patterns and adjust the Turban Blades to anticipate changes, Alban Puech and Jesse Read at the Polytechnic Institute of Paris, believe AI can do better. They have trained a Reinforcement-Learning Algorithm to Monitor Wind Patterns and develop its own Strategy to maintain the Angles of Turbines.
The Researchers ran Simulations, testing the same Wind conditions on Wind Turbines running different Control Algorithems. They found that the AI Algorithem aligned their simulated version of a REpower MMB2 2-Megawatt Turbine more Efficiently than a conventional One.
The AI moved the Turbine more often, but Saved Power and kept the time spent Readjusting to only 3.7%. The AI model produced Power gains of 0.4%, and still offered an advantage of 0.3% once the extra Energy spent moving the Turbine was taken into account.
If applied to All Wind Turbines in the Woeld, this would equate to boosting their combined Electricty production by 5 terawatt-hours Annually, says the Researchers.
"The o.3% is important," says Simon Hogg at Durham University, UK. "Wind farm companies are interested in chasing the 0.1%, the 0.3%. It could be the differences between them having the revenue to develop the next one or not."
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