tag Wind power Related Topics 
GreenTechMedia
SEPTEMBER 2, 2020
All of the scenarios are less reliant on wind power, which plays little role in the Southeastern U.S. energy mix today, although Duke's most aggressive case sees up to 2,650 megawatts of offshore wind by 2035. Iberdrola's Avangrid holds the rights to a large offshore wind development zone off the coast of North Carolina.
GreenTechMedia
MAY 28, 2020
American Electric Power has secured enough state regulator approvals to move ahead with a 1,485-megawatt wind power project in Oklahoma — even if Texas regulators end up denying its plans. billion transmission line put too much financial risk on Swepco ratepayers.
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GreenTechMedia
DECEMBER 5, 2019
Like those other states, Connecticut moved quickly with its 2019 offshore wind solicitation in order to allow the winning project to maximize its use of the fading Investment Tax Credit, whose future remains uncertain. The industry is anxiously awaiting the auction of more such zones in 2020 off the coasts of New York and California.
Terra Infirma
FEBRUARY 27, 2023
I suspect the woman had read some of the anti-wind power propaganda of the day, with all its talk of ‘blade flicker’ and other such nebulous health risks, and projected these fears onto some gusts of wind or the noise from a construction site.
GreenTechMedia
DECEMBER 18, 2019
For now, traders are maximizing the company’s onshore wind power by reducing the company’s merchant risk. As Ørsted's American offshore wind portfolio starts to deliver significant amounts of power in the early to mid-2020s, the company will rise rapidly up the rankings of U.S. In the U.K.
Business Green
JUNE 10, 2021
In fact, the reverse is true, and often by a large margin: globally, government subsidies for fossil fuels are tagged at more than $440bn per year, according to IEA (International Energy Agency) estimates. It may seem paradoxical, but renewables only see a fractional 20 per cent of the subsidies paid to the energy sector.
Renewable Energy World
OCTOBER 5, 2021
That was done through training the cooler health ML model using the hydraulic oil temperature data and related SCADA tags. The next step was to build a model that would automatically predict this issue. The modeling process also utilized engineering knowledge such as cooler control logic. This automation is vital to predicting issues.
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