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Creating a nuclear power program in a country that is new to the industry requires a lot of work, but it helps to have some experienced support. The United Arab Emirates (UAE) found good partners and put in

Minimize losses with DEPCOM Power’s unique blend of restoration expertise and EPC/O&M strengths By Jessica Super, VP—Business Development, DEPCOM Power From storm surges to tornadoes and wildfires, natural disasters can wreak havoc on solar power infrastructure — taking out inverters, knocking entire plants offline, and sending owners into a spiral of downtime, repair costs, and […]

China has its sights set on being the world leader when it comes to nuclear power technology. The country has brought its first Hualong One—a third-generation pressurized water reactor—online at the Fuqing

Digitalization, driven by big data, the industrial internet of things (IIOT), and even artificial intelligence (AI), has made its mark on the power industry, allowing for greater transparency into operations

The use of hydrogen continues to grow as a means of power generation, with companies introducing new technologies at a rapid pace across the globe. Ways2H is among the groups developing new methods of hydrogen

I have long been a supporter of nuclear power. I’ll admit I’m biased, having spent 13 years in the U.S. Navy’s nuclear power program and having worked for several more years in the commercial nuclear

Groups involved in the energy market in Ontario, Canada, have joined in a pilot project to simulate a local distribution energy trading market platform, designed to demonstrate improved customer participation

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