Edo turns office buildings into virtual power plants

If your office is cranking up the air conditioning on a hot afternoon, you’re part of a much bigger story. Energy demand is increasing rapidly. Data centers and AI systems use more electricity than ever before. At the same time, extreme weather conditions create additional stress on the grid. This pressure is causing utilities to seek relief in an unexpected place. It is not a new facility. It’s not a huge battery setup. Instead, they turn to buildings that already exist. A Seattle-based startup called Edo is betting it can help keep the lights on in your office.

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What is a virtual power plant?

A virtual power plant, often called a VPP, connects many buildings and devices so they can act as a single coordinated energy source. Rather than generating new electricity, these systems adjust when and how energy is used.

Here the idea is clearly expressed. When demand increases, the building can temporarily reduce non-essential power usage. This could mean cooling an area earlier in the day or delaying equipment that doesn’t need to be turned on immediately. In thousands of buildings, these small changes add up quickly.

How does Edo turn buildings into grid assets?

Edo focuses on commercial buildings, which account for the bulk of U.S. electricity use. The company installs technology that connects to existing building systems such as HVAC, batteries, solar power and EV charging. It connects these systems through standard communication protocols and manages them from a central platform. This allows everything to work together rather than working in silos. Edo then maps where and when the energy is used. From here, building operators have a clearer picture of what can be adjusted without disrupting daily operations.

For example:

• Pre-cooling or pre-heating before peak pricing begins
• Charging electric vehicles when electricity is cheap
• Shifting flexible tasks to off-peak hours
• Sending stored solar energy back to the grid

These changes occur through coordination, not prediction. Utilities can take advantage of this flexibility when demand increases.

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As AI and data centers increase demand for electricity, utilities are turning to commercial buildings for fast, flexible grid support rather than waiting for new infrastructure. (David Paul Morris/Bloomberg via Getty Images)

Why are utilities interested now?

This approach solves a real problem. When demand increases, utilities often face difficult choices. They can build new power plants, install large-scale batteries, or reduce electricity through blackouts. All of these options come with high costs or large deductibles. Virtual power plants offer another way. They reduce the load on the grid without building new infrastructure. VPPs could provide up to 160 gigawatts of flexible capacity by 2030 if adoption increases, according to the U.S. Department of Energy.

Moving from niche idea to mainstream solution

Virtual power plants have been used for years, mostly in residential environments. Companies like Tesla, Sunrun, and EnergyHub are already connecting home batteries and smart devices.

At the same time, companies such as Voltus and CPower Energy are focusing on large industrial users. But commercial buildings have been largely ignored. This is where Edo sees the opportunity.

Why is this important as demand for AI increases?

Artificial intelligence is not just a software story. This is a story of energy. Huge data centers require large amounts of electricity. Demand will continue to grow as more companies adopt AI tools.

This makes flexible energy strategies more important than ever. Instead of racing to build new facilities, utilities are rethinking how to use existing power. Virtual power plants are becoming part of this solution.

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Edo connects HVAC, batteries, solar and EV charging systems, enabling office buildings to respond in real time when utilities need help on the grid. (AJ Watt/Getty Images)

Kurt’s important takeaways

Office buildings are already being used to support the grid. Companies like Edo work with thousands of properties to adjust energy usage in real time when demand increases. What makes this change important is how quickly it can scale. Instead of waiting years for new infrastructure, utilities can leverage systems that already exist. As AI demand grows and energy pressure increases, this flexibility could become one of the most practical tools available.

As AI increases electricity demand, who should take the lead in keeping the grid stable: utilities or the companies that use the most electricity? Let us know by writing to us. cyberguy.com

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