“The big unlock for AI data centers is flexibility,” claims Smith. But AI https://travelusanews.com/cost-of-opening-a-company-in-ukraine-essential-expenses-and-considerations.html data centers whose workloads—though extremely energy-intensive—are more intermittent, may be able to adjust without disrupting essential tasks, trial data suggests. Equally, at times when data centers require the largest amount of energy to cool hardware—during heat waves, say—it may not necessarily be safe to run more energy across the grid. Depending on the scale of a development, it can take anywhere from seven to 14 years to build new transmission infrastructure, accounting for potential planning issues, legal objections, supply chain and labor bottlenecks, and construction. That’s throttling grid capacity and, by extension, the number of new power-hungry data centers that can connect without risking blackouts.

The trick is, can you find ways of connecting them where you don’t have to build huge amounts of new infrastructure? Against that backdrop, National Grid is experimenting with technologies that can be applied after-the-fact to squeeze more capacity out of the grid and potentially allow more data centers to connect. A large proportion of the UK’s renewable energy is generated in Scotland and North England, whereas energy consumption—including by data centers—is concentrated at the opposite, more populous end of the country. One obvious solution is to build new power lines, but that’s both expensive and slow. Even accounting for the likelihood that some of those data centers will never be built, there is currently not enough room to accommodate them.

Together, solar and battery storage account for 81% of the expected total capacity additions, with solar making up over 50% of the increase. This amount represents an almost 30% increase from 2024 when 48.6 GW of capacity was installed, the largest capacity installation in a single year since 2002. We expect 63 gigawatts (GW) of new utility-scale electric-generating capacity to be added to the U.S. power grid in 2025 in our latest Preliminary Monthly Electric Generator Inventory report.

WeaveGrid and FranklinWH Partner to Enable Distribution-Level Utility Orchestration of Residential Energy Storage

In addition, some observers warn that the data center frenzy could lead to an unnecessary infrastructure buildout like the one that occurred at the turn of the 21st century. A construction crew works on a data center on July 17, 2024, in Ashburn, Va. The Department of Energy is now pushing federal regulators to take a more active role in regulating how those loads get connected to the grid, setting the stage for a power struggle between state and federal authorities. That’s led some states to introduce new large load tariffs to weed https://leeds-welcome.com/the-future-is-now-top-trends-in-website-development-and-design-for-2023.html out speculative requests, with more states expected to follow suit. Maintaining grid reliability while achieving our AI potential requires building new and maintaining old reliable generation that can provide power 24/7 without burdening people with excess costs. OpenAI CEO Sam Altman, in a letter to the White House’s Office of Science and Technology Policy, recommended that the United States add 100 gigawatts of energy production capacity a year to stay competitive in the artificial intelligence (AI) race.

• On this episode of the This Week in Cleantech podcast, Emily Pontecorvo from Heatmap News discusses a new partnership making more than 16 gigawatts of virtual power plant capacity.
• More recently, capital investment in the transmission of electricity increased $2.7 billion (11%) in 2023 from 2022.
• Planning, permitting and completing new grid infrastructure can take anywhere from 5 to 15 years, whereas new builds on the supply and demand side are much faster at 1-5 years for renewables projects such as solar PV and wind, 1-3 years for data centres, and 1-2 years for EV charging infrastructure.
• A large proportion of the UK’s renewable energy is generated in Scotland and North England, whereas energy consumption—including by data centers—is concentrated at the opposite, more populous end of the country.

Data center and power company challenges opportunities and strategies, and to benchmark their infrastructure development. However, it is a complex undertaking, and analysis reveals certain gaps are creating some challenges. Martin Stansbury, principal, Deloitte & Touche LLP said, “There is an opportunity in infrastructure development to support the national strategic priorities of AI and energy dominance. Specifically, both data center and power companies surveyed are looking to develop additive infrastructure that can bring efficiency, capacity, and flexibility to powering AI. Both data center and power companies surveyed agree there are several challenges to powering AI infrastructure, along with unique concerns for each.

SWOT Analysis: Data Center Supply Chain Shifts from Component Risk to Energy Risk

• Generators added 10.4 GW of new battery storage capacity in 2024, the second-largest generating capacity addition after solar.
• Of course, prospects for higher demand growth come from more than AI and data centers.
• “This will permit orderly, safe, and secure operations during PJM’s hot weather conditions.”
• Investment in underground lines also increased considerably, more than doubling over the past 20 years to reach $11.8 billion in 2023.
• By leveraging world-class engineering capabilities and with a relentless focus on innovation, SolarEdge creates smart energy solutions that power our lives and drive future progress.
• The increases are not distributed evenly across the country, however, and experts are divided on the underlying reasons — particularly the role of data centers.

If a utility sees conditions building near vulnerable equipment, it can move from watching the storm to preparing for a specific risk. Local data gives those forecasts a field-level check. A county-level forecast may warn of strong storms, but crews need to know where wind, rain, heat, https://survincity.com/2012/12/wind-power-by-2020-will-provide-up-to-12-of/ or ice is most likely to stress equipment.

The grid operator said it expected power plants totaling more than 40 GW would be offline for planned outages on May 18. Capital investment in line transformers, which decrease voltage to household levels, increased 23% from 2022 to $7.5 billion in 2023—a result of supply chain and manufacturing issues. Most of this increase was driven by costs related to the construction of the Vogtle nuclear plant operated by Georgia Power.

• At least two states now have LDES requirements totaling more than 2.75 GW.16 Utilities are also procuring 8-to-10-hour storage to address reliability gaps during high-demand seasons and reduce unused renewable energy generation.17 While this can relieve peak stress, it is not a one-for-one substitute for firm generation like gas or nuclear.
• As rising consumer expectations strain traditional customer service, energy providers are embedding AI into customer care—to enable proactive, personalized experiences that build trust and deliver lasting customer value.
• Others warned they expect outages to become more common during summer heat or future periods of peak demand.
• The US Department of Energy projects about 104 GW of coal and natural gas retirements by 2030, offset by 209 GW of new capacity.11 Yet only 10% of those additions will be firm baseload, widening the reliability gap (figure 1).12
• According to Deloitte analysis, peak demand is projected to grow by approximately 26% by 2035, testing today’s grid limits.1

GLASS gained widespread recognition from the R&D community as its potential to transform grid operations became clear. By shifting from static assumptions to dynamic thermal ratings based on real wind and weather conditions, INL uncovered ways to increase power transfer capabilities by 10–40%, demonstrating an agile and cost-effective approach to boosting grid reliability. DOE is tackling this challenge head-on through grid-enhancing technologies (GETs), which deliver faster, lower-cost solutions by maximizing the performance of today’s grid and supporting the expansion of the energy economy. As energy demand surges from data centers, AI, manufacturing, and transportation, DOE’s early-stage R&D is enabling a more reliable and cost-effective grid. Department of Energy (DOE) supports research and development (R&D) that modernizes the nation’s power system; unlocks new potential for affordable, reliable, and secure energy for American families; and promotes U.S. energy dominance.

Strategic Capital Shifts to Secure Power Generation for Data Centers

The US Department of Energy projects about 104 GW of coal and natural gas retirements by 2030, offset by 209 GW of new capacity.11 Yet only 10% of those additions will be firm baseload, widening the reliability gap (figure 1).12 According to Deloitte analysis, peak demand is projected to grow by approximately 26% by 2035, testing today’s grid limits.1 Users are encouraged to work further with their utilities to determine sites that leverage available grid capacity. Even if a utility does not offer a publicly available hosting capacity map, they may be able to consult with new and existing customers on their distribution network’s future capacity potential. Utilities, developers, and other stakeholders can use hosting capacity maps for better planning and siting, and they can help businesses such as EV charging companies identify where there is available capacity on the electric grid to connect new loads.

Having enacted enabling legislation.66 This shift rewards outcomes—capacity delivered, reliability, affordability—rather than gross capital deployed, and can create space for coinvestment, securitization, and service-based contracts. By mid-2025, at least 28 states were exploring performance-based regulations, with 17 states and Washington, D.C. Utilities are expected to integrate multi-year, multi-vendor supply agreements, embed grid-enhancing technologies, and use digital tools to track supplier and inventory risks in real time. In 2026, utilities are likely to expand AI-assisted analytics in control rooms, widen adoption of gen AI copilots across operations, and formalize oversight frameworks—with human oversight remaining central.