As the regulator for much of our nation’s wholesale electric and natural gas markets, actions by the Federal Energy Regulatory Commission (FERC) directly impact the U.S. economy. The agency’s response to

It’s been another news-filled year in the power industry. The following stories were the top 10 traffic-getters posted in 2021 on POWER’s website. Did you see them all as they were released? 10. Mitsubishi Power Developing 100% Ammonia-Capable Gas Turbine Mitsubishi Power is developing a 40-MW class gas turbine that can directly combust 100% ammonia […]

On the U.S. Department of Commerce’s (DOC’s) Renewable Energy and Energy Efficiency Advisory Committee (REEEAC), the silo between industry and regulators is breaking down. The committee, which is populated

Many coal-fired power plants are being asked to ramp output up and down regularly, and often to levels less than units were originally designed to operate at. Implementing a Unit Flexibility and Asset

A survey of chief information security officers revealed great insight on cyber risks and perceived vulnerabilities. While some insiders may think working hand-in-hand with government agencies to develop sound

U.S. Air Force Will Site Microreactor in Alaska. The U.S. Air Force has selected Eielson Air Force Base in Alaska as the site of its first stationary microreactor pilot. The Air Force’s microreactor pilot

They say that if you put good out into the world, it will come back to you. That might not be an idea people normally associate with the software development industry, but that idea more or less perfectly

The power sector has been evolving for years and technology has been instrumental in the change. Today, asset performance management and predictive maintenance tools can help power companies avoid outages

Pairing renewable resources with energy storage systems makes a lot of sense. However, grid operators are still developing frameworks for handling these hybrid projects but they may need to be treated

A digital twin designed for the Atikokan biomass power plant uses science-based Bayesian machine learning methods combined with surrogate models developed from a suite of validated, multi-physics simulations