Research and Development

The speed of decision-making at the grid edge has become critical for maintaining stability, preventing cascading failures, optimizing efficiency and integrating intermittent renewable resources. With the proliferation of distributed energy resources (DERs), electric vehicles and smart loads, grid edge intelligence has moved from a luxury to a necessity.

Modern power plants have many critical demands, including the need for more efficient energy management, enhanced safety and security, and reduced power consumption. Integrating a smart boiler system is essential to meeting these challenges. These advanced systems enable precise temperature control, optimize energy usage, and offer unparalleled operational convenience that transforms how power facilities manage […]

The U.S. stands at a critical juncture. We’re experiencing electric load growth for the first time in decades, as fierce global competition reshapes the energy landscape. Nuclear power, both the resurgence of fission and the promise of fusion, could secure our energy future and position the U.S. as the global leader in energy technology for […]

Energy experts think solar power still has a bright future, even as challenges impact the industry. Power generation from solar photovoltaic (PV) technology has increased dramatically over the past few years thanks to the need for less-costly power, and for cleaner forms of energy.

In 2025, as the Paris Agreement marks its tenth year since its signing, the global energy structure has entered a critical transformation phase. While solar photovoltaic (PV) systems have become an important pillar that supports the goal of net-zero emissions, challenges in terms of power losses from generation remain. It is imperative to effectively minimize […]

As wind and solar dominate global investment in renewable energy, hydropower’s potential to enhance grid resilience and expand energy supply remains largely untapped, and that potential is only expanding with the integration of advanced technologies like artificial intelligence (AI).

The U.S. power sector stands at a juncture, facing a confluence of factors that are poised to trigger an era of unprecedented growth and necessitate a large influx of capital. Driven by the increasing demand from data centers, the reshoring of manufacturing, and electrification across transportation, heating, and industry, the demand for electricity is rising at a pace unseen in recent decades.

A new report from GlobalData, a data and analytics group, projects global nuclear power capacity will hit 494 GW by 2035. The group said capacity gains will be tied to advancements in deployments of small modular reactors (SMRs), along with the continuing worldwide shift to cleaner forms of energy.

Energy and water are like dance partners in a complex ballet, each intricately linked to the other. On the global stage, the greatest demand for water is for electric power generation, while the most energy-intensive sector is the extraction, treatment, and distribution of water.

Today’s data centers, the workhorses of our digital economy, face a paradox. While they are asked to fuel the rapid advancement of generative AI, they must do so under increasingly tight energy budgets, with sustainability mandates and power constraints threatening to slow innovation. The question isn’t whether AI will transform industries—it already is—but whether our infrastructure can keep up without buckling under the weight of AI’s energy appetite.