Green Technology GlobalThe electric grid most of us depend on was designed a century ago around one idea: generate power in a few big places, push it outward over long lines, and manage the whole thing from the center. That model built modern life. It is also running out of room. The question facing developers, campus owners and data center operators is no longer whether to add local generation and storage — it is how to make many small systems work together without recreating the same fragile, centralized structure in miniature.
Transactive energy is GTG's answer to that question. Instead of a central program deciding who gets power and when, every participant on the microgrid trades for it, and price does the coordinating.
The problem: a centralized grid at its limits
Five pressures are converging on the traditional grid at the same time:
- Renewables are hard to absorb. Solar and wind produce power when the weather allows, not when demand peaks. At scale, that variability is destabilizing and expensive to manage.
- Demand is growing faster than supply. Electric vehicles and AI data centers are adding loads that the existing system was never sized to carry.
- Distance wastes energy. Every mile of transmission line and every transformer step loses a share of the power that was generated.
- Storage and baseload are under strain. Utility-scale batteries are still costly, and as large base generators retire, the system loses the steady supply that kept it stable.
- Centralization is itself a risk. One interconnected system means one large target — physically and digitally.
The solution: microgrids that balance themselves
A microgrid generates, stores and manages power close to where it is used. Its purpose is resilience: keeping homes livable and operations running when the wider grid falters. Microgrids deliver the most value when neighboring systems can lean on one another — sharing surplus, covering shortfalls. Coordinating dozens or hundreds of them, each with its own equipment and priorities, has been the unsolved problem.
Transactive energy solves it by replacing central control with a market. Every participant can be both a consumer and a producer, and each trades according to its own needs and the policies its owner sets:
- When local power is scarce, the price rises — participants reduce their use or sell what they have stored.
- When local power is plentiful, the price falls — participants use more, or buy and store it for later.
No one has to orchestrate the whole system. Each participant acts on its own — in real time and for the future — and the microgrid settles into balance as a result.
What the platform does
The platform is best understood as an operating system for transactive energy. It runs the markets, manages the connected devices, and enforces the operator's policies at every level of the system.
| Capability | What it delivers |
|---|---|
| Markets in time | Spot markets for reacting to live supply and demand, plus forward markets for contracting power days in advance. |
| Fractal architecture | One building block — a "node" — scales from a single device to a building, campus, town or region. |
| Fully autonomous | Each node manages its own load, storage and generation by policy, with no central program. |
| True-cost pricing | Buy and sell decisions account for cost of ownership, time of production and environmental impact. |
| Graceful load management | When supply tightens, it finds the best mix of load and generation changes and allocates power by priority and commitment. |
| Grid interoperability | Runs alongside the existing utility grid and can actively support it. |
| Operator control | Policies for charging, discharging, event priority, scheduling and special modes such as islanding can be changed at any time. |
The fractal design is what makes the approach practical at any scale. A battery, a building and a campus all speak the same language, so a system can start small and grow node by node without being redesigned.
Use case: an AI data center with on-site generation
Picture an AI data center powered in part by a small modular reactor, with two utility connections held in reserve as backup. Inside the facility are three microgrids — the AI servers, the cooling plant and a battery bank — each running its own market.
Following the operator's policies, each node independently manages how much it draws from the utility, how power is distributed, the state of charge in the batteries and even the pacing of AI workloads. The number of possible operating combinations is enormous, yet there is no central logic making those calls — and therefore no single point whose failure takes the site down. If priorities change, the operator adjusts a node or market policy, and the system re-balances around it.
The same structure applies to the kind of operator-owned power GTG already brings to data center campuses, such as staged PTE natural-gas turbines: the generation is local, and transactive energy is the layer that decides, moment to moment, where every kilowatt should go.
Simulate before you commit
Before spending capital or changing a policy, operators can model a single node, one microgrid or many interconnected microgrids over periods ranging from hours to years — running at more than 100 times real time.
- Normal operations: trading policies, device behavior, market prices, weather, scheduled events, billing and quantified resilience.
- Extreme events: equipment failures, utility disconnects, islanding, shortages, blackouts, price shocks, severe weather and custom scenarios.
- Built-in device library: models for batteries, generators, solar and a growing range of loads, with advanced predictive control to hold a stable power target.
Scenarios can replay any past date or project forward, and snapshots can be saved, restored and shared — so engineering, finance and operations teams can test the same "what if" together.
Why it matters
Running interconnected microgrids calls for expertise across energy, physics, engineering, finance, economics and software all at once. Because no off-the-shelf foundation existed, the platform's core — distributed transactions, secure messaging and long-running workflows at very large scale — was purpose-built, informed by five years of use-case analysis and design validation.
For owners and operators, the payoff comes down to four things:
- Resilience — critical operations keep running through outages, shortages and attacks.
- Lower cost — buy when power is cheap, sell or curtail when it is expensive, and share resilience with neighbors.
- Renewable-ready — absorb intermittent solar, storage and on-site generation without destabilizing the system.
- Future-proof — an architecture built to adapt to new regulations, deployment models, devices and scale.
The grid of the future is less likely to be one giant machine than a network of local systems that cooperate. Transactive energy gives that network a way to cooperate on its own.