By Rod Walton, EnergyTech Senior Editor

AI-focused power marketer Gridmatic is announcing several moves Tuesday that the company sees as key steps in making renewable energy credits more of a tangible connection to customer’s ESG goals than the typical offsets. In this case, Gridmatic was contracted by data center solutions firm EdgeConneX to provide time-matched carbon-free energy for one of its facilities in Texas and within the state’s ERCOT grid operator territory.

The time matchmaking between load and renewable power began at the start of the year.

“There is strong and growing demand for time-matched renewables but a lack of viable solutions due to the complexity of the challenge,” said CEO and Founder of Gridmatic, Matt Wytock in a statement. “Gridmatic is applying Silicon Valley AI to solve this problem and has four years of market success with its algorithms for industry-leading electricity market predictions.”

At the same time, Gridmatic announced the opening of a newretail service based out of Houston. The company chose Texas because of its high renewable energy penetration, in particular in utility-scale wind power, and its deregulated, competitive grid marketplace.

Both factors dovetail nicely to create what Gridmatic leaders believe is fertile ground for its AI time-matching energy platform. In other words, the Gridmatic AI will match EdgeConneX data center’s energy use with renewable energies being generated within ERCOT at that particular point in time.

The matching will provide EdgeConneX with renewable energy to match its load on an hour-by-hour basis.

RECs match load on an annual basis, but this approach matches to clean energy that is directly related to the load every hour of the day. 

“Most data centers cannot meet their energy needs entirely with onsite generation,”  Gridmatic vice president of business development, David Miller told EnergyTech. “In this case of EdgeConneX, the approach is to have a power supply backed by firm contract with carbon-free energy, primarily wind power, located in the grid where it’s being consumed.”

The Gridmatic AI blends multiple forms of data, from ERCOT generation snapshots to weather forecasting and grid traffic, into a cohesive portfolio available to the customer. It’s not a wind farm turning blades right next door—although it might be someday—but directly connecting generation in the same independent system operations region to the end user.

The credits “are only counted if being produced during the time it’s being consumed,” Miller pointed out. “We make sure we’re achieving time-matched energy.”

Gridmatic chose Texas for its unique combination of deregulated, competitive market and nation-leading renewable energy profile. The company plans to expand the Gridmatic Retail offering into similar marketplaces such as the northeast, PJM Interconnection and other ISOs and states.

• Walton, senior editor for EnergyTech, is a 15-year veteran of covering the energy industry both as a newspaper and trade journalist. He can be reached at rwalton@endeavorb2b.com).