Ecovasion

Power that keeps up with AI.

DEROS stabilizes the swings between generation and load, so data centers can run on their own power without waiting on the grid.

AI loadWhat the generator sees

The generator is forced to chase every swing.

Illustrative only. Not measured data.

The 2026 energy crisis is a flexibility crisis.

The industry needs megawatts that arrive faster, respond faster, and stay stable.

3.6%Yearly global electricity demand growth through 2030, up from 2.8% (IEA)
2,061 GWGeneration and storage waiting in U.S. interconnection queues (Berkeley Lab)
232+ GWLarge-load requests in ERCOT’s process, about 72% from data centers
367.8 GWERCOT’s preliminary peak demand forecast for 2032
U.S. interconnection queue, end of 2025~8,200 active projects

Capacity

Is there enough generation?

Delivery

Can it reach the site on time?

Dynamic stability

Can the system hold steady when the load jumps? The least solved of the three.

Behind-the-meter power solves capacity. Not power quality.

AI clusters can swing tens of megawatts in fractions of a second. Whatever the fuel, a site has to survive that.

  • Ramp-rate constraints and transient response
  • Thermal cycling
  • Frequency and voltage stability
  • Power quality
  • Islanding, black start and grid-forming requirements

Why inertia matters

Spinning mass resists sudden frequency changes before any digital control can react. Batteries and software can only emulate it.

Every timescale needs a different tool.

MillisecondsPower electronics, kinetic response
100s of msRotating inertia
SecondsStorage and generator response
MinutesBattery and generation dispatch
HoursFuel and thermal management

DEROS: the multi-timescale kinetic stabilizer.

Four response layers hand off as a disturbance plays out. Works with any fuel. Tap a layer to see where it sits.

Module size
1–50 MW modular nodes
Fuel pathway
Natural gas → RNG → hydrogen
Operating modes
Grid-connected, islanded, black start
Platform
Modular, not a single fixed configuration

For loads that move faster than their power source.

  • AI data centers
  • Utilities
  • Microgrid operators
  • Industrial customers
  • Defense
  • Maritime
  • Energy developers

Generate

Make power on site, on your timeline.

Stabilize

Buffer fast swings, layer by layer.

Deliver

Run reliably, grid-connected or islanded.

What to do about it

  • Plan for power quality, not just power quantity.
  • Treat interconnection time as a critical development risk, not a procedural formality.
  • Evaluate behind-the-meter generation as core infrastructure, rather than mere backup.
  • Model workload transients rigorously before selecting a generation technology.

The State of the 2026 Energy Crisis

Powering the AI era when the grid can’t move fast enough. Sourced from the IEA, Berkeley Lab and ERCOT.

Request the report
  • 1The electricity demand shock
  • 2The interconnection bottleneck
  • 3Load velocity and the flexibility gap
  • 4Why generation alone isn’t enough

Tell us about your load.

Share your site, power source and timeline. We’ll show where stabilization fits.

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The Problem

The energy crisis is a flexibility crisis.

The shortfall isn’t a shortage of megawatts. It’s a mismatch between how quickly demand changes and how quickly the power system can generate, deliver, and stabilize electricity.

Electricity demand is accelerating.

The IEA projects global demand growth of about 3.6% a year through 2030, up from 2.8% over the previous decade, and calls it the start of an “Age of Electricity.” The growth is concentrated in AI and data centers, cloud, electrified transport and heating, advanced manufacturing, and cooling.

3.6%Yearly demand growth through 2030, up from 2.8% (IEA)
~1,100 TWhAdditional global demand, every year, through 2030
17%Growth in global data-center electricity use in 2025 (IEA)

A single AI training campus can need hundreds of megawatts on one site. That scale and density used to belong to a handful of heavy industrial customers.

The grid wasn’t built for this.

The grid is a one-way chain engineered for customers whose combined demand is smooth and forecastable. AI infrastructure breaks that assumption.

Generation→Transmission→Distribution→Customer

Capacity

Is there enough generation?

Delivery

Can it reach the site on time?

Dynamic stability

Can the system hold steady when the load jumps? The least understood and least solved of the three.

There’s no shortage of proposed generation. There’s a shortage of ways to connect it.

2,061 GWGeneration and storage in U.S. interconnection queues (Berkeley Lab)
232+ GWLarge-load requests in ERCOT’s process, about 72% from data centers
367.8 GWERCOT’s preliminary peak demand forecast for 2032
U.S. interconnection queue, end of 2025~8,200 active projects

For a growing share of large power users, waiting for a conventional grid connection is no longer a viable primary strategy. AI companies increasingly need power in months. That’s why behind-the-meter generation is one of the fastest-growing parts of the buildout.

AI changed the shape of demand.

Traditional planning asks how much electricity will be needed. AI asks how quickly it can change. Call that load velocity, measured in megawatts per second, and sometimes per millisecond. A cluster can swing tens of megawatts in fractions of a second as workloads start, checkpoint, pause, or idle.

A fuel cell is a cargo ship

Efficient and economical at a steady pace, but slow to accelerate and slow to stop.

An AI workload is a restaurant

Its order swings from ten tables to ten thousand and back again within minutes.

Generation alone isn’t enough.

A well-sited fuel-cell plant answers where the electricity comes from. It doesn’t answer what happens the instant the load changes. Every one of these is a real requirement, and none is solved by adding capacity.

  • Ramp-rate constraints
  • Transient response
  • Thermal cycling
  • Frequency stability
  • Voltage stability
  • Power quality
  • Islanding
  • Black start and grid-forming requirements

They’re solved by a layer between generation and load, built to absorb the mismatch between how fast a source can respond and how fast the load moves.

The energy system: then vs. now.

Traditional model2026 reality
Centralized generationDistributed and behind-the-meter generation
Predictable loadsAI-driven, dynamic loads
Interconnection as a normal processInterconnection as a strategic bottleneck
MW as the primary metricMW plus flexibility and inertia
Batteries as storageHybrid storage plus kinetic and synchronous systems
Grid connection firstIslanded or behind-the-meter first, grid later
Generation follows demandGeneration plus dedicated stabilization layers

See how DEROS closes the gap.

Generate. Stabilize. Deliver. DEROS is Ecovasion’s architecture for the stabilization layer.

Explore DEROSGet the 2026 reportTalk to our team

DEROS

The multi-timescale kinetic stabilizer.

DEROS sits between generation and load. It absorbs the mismatch between how fast a power source can respond and how fast an AI workload actually moves.

AI loadWhat the generator sees

The generator is forced to chase every swing.

Illustrative only. Not measured data.

No single technology is economical at every timescale.

A source built for hourly fuel efficiency isn’t built to arrest a millisecond transient. The answer is an architecture of layers, not one component.

MillisecondsPower electronics, kinetic response
100s of msPhysical rotating inertia
SecondsEnergy storage and generator response
MinutesBattery and generation dispatch
HoursFuel and thermal management

How the layers hand off.

Four response layers hand off as a disturbance plays out. Works with any fuel. Tap a layer to see where it sits.

Module size
1–50 MW modular nodes
Fuel pathway
Natural gas → RNG → hydrogen
Operating modes
Grid-connected, islanded, black start
Platform
Modular, not a single fixed configuration

Why physical inertia matters.

A battery can deliver power almost instantly, and a grid-forming inverter can be tuned to mimic a spinning machine. Neither is physically identical to rotating mass. In the first fractions of a second after a disturbance, real inertia resists frequency changes through its mass alone, before any control system has decided what to do.

Scarcer when it matters most

As grids add inverter-based resources and retire spinning generation, natural inertia gets scarcer just as loads become more volatile.

Operating modes.

Grid-connected

Operate alongside the grid and support its reliability.

Islanded

Run independently of the grid.

Black start

Restart from a shutdown using battery energy.

Multi-timescale stabilization

Hand disturbances across kinetic, synchronous, electrochemical and digital layers.

Fuel pathway

Natural gas→RNG→Hydrogen

Hydrogen is one point on the pathway, not the thesis. DEROS manages the relationship between generation and load, so it isn’t tied to a single fuel.

Tell us about your load.

Share your site, power source and timeline. We’ll show where DEROS fits.

Talk to our team

See DEROS by use case

One stabilizer. Every fast-moving load.

AI data centers are where DEROS starts. The same problem shows up wherever generation can’t keep pace with the load, grid-connected or islanded.

AI data centers

Where DEROS starts.

Training and inference clusters can swing tens of megawatts in fractions of a second, and grid connections can take years. On-site power fixes the timeline, not the swings.

How DEROS fits

  • The generator sees a steady load while DEROS absorbs the swings
  • Power from on-site generation in months, not years
  • Fuel-flexible: natural gas, then RNG, then hydrogen

Ask: How will your workloads’ transients affect your generation choice?

Talk to us about ai data centers
Utilities

Large loads are arriving faster than the grid can study them.

As inverter-based resources replace spinning generation, natural inertia gets scarcer just as loads get more volatile. Utilities need large customers to help hold the system steady, not strain it.

How DEROS fits

  • Real rotating inertia and a voltage and frequency reference
  • Hybrid behind-the-meter systems that can support reliability
  • Modular 1–50 MW nodes that scale with each site

Ask: Can large flexible loads be treated as grid assets, with clear pathways for hybrid systems?

Talk to us about utilities
Microgrid operators

Small systems feel every swing.

An islanded microgrid has little inertia to lean on. A fast load or source change shows up directly as frequency and voltage trouble, and the system has to restart itself after an outage.

How DEROS fits

  • Grid-connected, islanded, and black start operation
  • Physical inertia ahead of batteries and software control
  • Works with the generation you already have

Ask: Are your technologies combined by response timescale, or is storage doing every job?

Talk to us about microgrid operators
Industrial customers

Heavy loads need clean, steady power.

Large industrial sites can change their draw abruptly, and many can’t wait for transmission upgrades. Power quality, not just capacity, decides whether on-site generation works.

How DEROS fits

  • Smooths abrupt load changes before they reach generation
  • Stable voltage and frequency when running islanded
  • Fuel pathway that can change as your needs do

Ask: Have you modeled your load’s dynamic behavior, not just its average?

Talk to us about industrial customers
Defense

Power that doesn’t depend on a connection.

Sites that must run independently need generation that can start up on its own and hold steady as loads change.

How DEROS fits

  • Islanded operation and black start built in
  • Real inertia and a grid-forming reference
  • Modular nodes sized to the mission, from 1 to 50 MW

Ask: What dynamic loads will the site run, and how fast do they change?

Talk to us about defense
Maritime

A vessel or port is a small grid.

Islanded systems with fast-changing loads need stable frequency and voltage, and fuel choices are shifting. A stabilization layer keeps the power usable whatever generates it.

How DEROS fits

  • Islanded operation with real physical inertia
  • Fuel-flexible pathway from natural gas to hydrogen
  • Prime mover stays within its ramp and thermal limits

Ask: How will your fuel plans change over the life of the system?

Talk to us about maritime
Energy developers

Generation response and transient response are different problems.

A well-sited fuel cell or gas plant answers where the power comes from. It doesn’t answer what happens the instant the load changes.

How DEROS fits

  • Add a transient layer to any prime mover
  • Design around the load’s dynamic behavior, not its average
  • Deliver more reliable behind-the-meter projects

Ask: Are you treating storage as interchangeable across timescales?

Talk to us about energy developers

Tell us about your load.

Share your site, power source and timeline. We’ll show where stabilization fits.

Talk to our team

The State of the 2026 Energy Crisis

Powering the AI era when the grid can’t move fast enough. A free industry report from Ecovasion.

Cover of The State of the 2026 Energy Crisis report

The numbers behind the crisis.

The shortfall isn’t a shortage of megawatts. It’s a mismatch between how fast demand changes and how fast the system can respond.

3.6%Yearly global electricity demand growth through 2030, up from 2.8% (IEA)
~1,100 TWhAverage additional global demand, every year, through 2030
17%Growth in global data-center electricity use in 2025 (IEA)
2,061 GWGeneration and storage in U.S. interconnection queues (Berkeley Lab)
232+ GWLarge-load requests in ERCOT’s process, about 72% from data centers
367.8 GWERCOT’s preliminary forecast of peak demand by 2032

What’s inside.

Eight chapters, a then-versus-now comparison, and recommendations for four audiences.

  1. 01
    The Electricity Demand ShockWhy electricity became the strategic input
  2. 02
    The Grid Wasn’t Built for ThisPredictable customers vs. concentrated, volatile load
  3. 03
    The Interconnection Bottleneck1,312 GW of generation is waiting in line
  4. 04
    AI Changed the Shape of Electricity DemandIntroducing load velocity
  5. 05
    The Flexibility GapWhy one technology can’t do every job
  6. 06
    The Return of Physical InertiaMW and inertia are not the same thing
  7. 07
    The Rise of Behind-the-Meter PowerBring your own power
  8. 08
    Why Generation Alone Isn’t EnoughThe missing stabilization layer

Written for the people who build and run the system.

Data center developers

Plan for power quality, not just power quantity.

Energy developers

Design generation around the load’s dynamic behavior.

Utilities and grid operators

Treat large flexible loads as grid assets.

Policymakers

Measure interconnection timelines and set standards for dynamic behavior.

Get the report.

Tell us a little about you and we’ll send the report.

Sources: IEA, Berkeley Lab, ERCOT. This report is a marketing and industry-education publication produced by Ecovasion. It is not investment, engineering, or regulatory advice. Figures reflect publicly reported data as of the dates indicated.

AI data centers

Run AI on your own power, steadily.

Training and inference clusters can swing tens of megawatts in fractions of a second, and grid connections can take years. DEROS keeps on-site power stable while the load does what AI loads do.

The challenge.

AI infrastructure is the fastest-growing load on the system and the least predictable. Clusters start, checkpoint, pause and idle on their own schedule, and the power draw follows within fractions of a second. At the same time, about 2,061 GW of generation and storage is waiting in U.S. interconnection queues, and ERCOT alone reports more than 232 GW of large-load requests, about 72% from data centers.

How DEROS fits.

  • The generator sees a steady load while DEROS absorbs the swings
  • On-site power in months, not years, without waiting on transmission
  • Grid-connected or islanded, with black start
  • Fuel-flexible: natural gas, then RNG, then hydrogen

What to evaluate

  • Plan for power quality, not just power quantity
  • Treat interconnection time as a development risk, not a formality
  • Model workload transients before selecting a generation technology

One architecture, four response layers.

Milliseconds · KineticS1 flywheel buffers fast transients
100s of ms · SynchronousS2 supplies real inertia and a voltage and frequency reference
Seconds to minutes · ElectrochemicalBattery covers longer-duration energy and black start
Continuous · DigitalPCS/VSG and EMS coordinate the other three

Tell us about your load.

Share your site, power source and timeline. We’ll show where stabilization fits.

Talk to our team

Utilities

Help large loads support the grid, not strain it.

As inverter-based resources replace spinning generation, natural inertia gets scarcer just as loads get more volatile. DEROS brings real inertia and a stable reference to the edge of the system.

The challenge.

Large flexible loads are arriving faster than studies and upgrades can keep up, and the grid’s traditional chain from generation to customer was built for smooth, forecastable demand. Utilities increasingly need hybrid behind-the-meter systems that support reliability instead of adding to the stress.

How DEROS fits.

  • Real rotating inertia and a voltage and frequency reference
  • Grid-forming capability through PCS/VSG
  • Modular 1–50 MW nodes that scale with each site
  • Grid-connected and islanded operating modes

What to evaluate

  • Treat large flexible loads as grid assets, not just customers
  • Put more emphasis on physical inertia and grid-forming capability
  • Develop clear pathways for hybrid behind-the-meter systems

One architecture, four response layers.

Milliseconds · KineticS1 flywheel buffers fast transients
100s of ms · SynchronousS2 supplies real inertia and a voltage and frequency reference
Seconds to minutes · ElectrochemicalBattery covers longer-duration energy and black start
Continuous · DigitalPCS/VSG and EMS coordinate the other three

Tell us about your load.

Share your site, power source and timeline. We’ll show where stabilization fits.

Talk to our team

Microgrid operators

Keep small systems steady when loads move fast.

An islanded microgrid has little inertia to lean on. DEROS adds physical inertia and coordinated response so fast changes don’t become frequency and voltage trouble.

The challenge.

In a small system, a sudden load or source change shows up directly as frequency and voltage swings, and operators need the system to restart itself after an outage. Batteries and software help, but neither is physically identical to rotating mass in the first fractions of a second after a disturbance.

How DEROS fits.

  • Grid-connected, islanded and black start operation
  • Kinetic and synchronous layers ahead of the battery
  • Digital coordination across all four layers
  • Sits between your generation source and the load

What to evaluate

  • Combine technologies by response timescale, not as interchangeable storage
  • Plan for islanding and black start from the start
  • Check voltage and frequency stability under fast load changes

One architecture, four response layers.

Milliseconds · KineticS1 flywheel buffers fast transients
100s of ms · SynchronousS2 supplies real inertia and a voltage and frequency reference
Seconds to minutes · ElectrochemicalBattery covers longer-duration energy and black start
Continuous · DigitalPCS/VSG and EMS coordinate the other three

Tell us about your load.

Share your site, power source and timeline. We’ll show where stabilization fits.

Talk to our team

Industrial customers

Give heavy loads the clean, steady power they need.

Power quality, not just capacity, decides whether on-site generation works for large industrial sites.

The challenge.

Large industrial sites can change their draw abruptly, and many can’t wait for transmission upgrades. Behind-the-meter generation answers where the power comes from, but ramp-rate limits, thermal cycling and power quality problems still land on the plant when the load moves.

How DEROS fits.

  • Smooths abrupt load changes before they reach generation
  • Stable voltage and frequency when running islanded
  • Modular nodes from 1 to 50 MW
  • Fuel pathway from natural gas to RNG to hydrogen

What to evaluate

  • Model your load’s dynamic behavior, not just its average
  • Treat interconnection time as a development risk
  • Evaluate on-site generation as infrastructure, not backup

One architecture, four response layers.

Milliseconds · KineticS1 flywheel buffers fast transients
100s of ms · SynchronousS2 supplies real inertia and a voltage and frequency reference
Seconds to minutes · ElectrochemicalBattery covers longer-duration energy and black start
Continuous · DigitalPCS/VSG and EMS coordinate the other three

Tell us about your load.

Share your site, power source and timeline. We’ll show where stabilization fits.

Talk to our team

Defense

Power that doesn’t depend on a connection.

Sites that must run independently need generation that can start on its own and hold steady as loads change.

The challenge.

Independent operation means the power system has to supply its own stability: a voltage and frequency reference, inertia against sudden changes, and the ability to restart after a shutdown. Adding generation capacity does none of that on its own.

How DEROS fits.

  • Islanded operation and black start
  • Real inertia and a grid-forming reference
  • Modular nodes sized to the mission
  • Fuel-flexible pathway

What to evaluate

  • Plan for islanded operation and black start from day one
  • Model dynamic loads before choosing generation
  • Size modular nodes to the mission, from 1 to 50 MW

One architecture, four response layers.

Milliseconds · KineticS1 flywheel buffers fast transients
100s of ms · SynchronousS2 supplies real inertia and a voltage and frequency reference
Seconds to minutes · ElectrochemicalBattery covers longer-duration energy and black start
Continuous · DigitalPCS/VSG and EMS coordinate the other three

Tell us about your load.

Share your site, power source and timeline. We’ll show where stabilization fits.

Talk to our team

Maritime

Stable power on a vessel or in a port.

A ship or a port is a small grid. DEROS keeps frequency and voltage stable whatever generates the power.

The challenge.

Islanded systems with fast-changing loads need stable frequency and voltage, and fuel options keep evolving. A stabilization layer keeps power usable regardless of the prime mover behind it, so the fuel can change without redesigning the whole system.

How DEROS fits.

  • Islanded operation with physical inertia
  • Fuel pathway from natural gas to hydrogen
  • Keeps the prime mover within its ramp and thermal limits
  • Modular 1–50 MW nodes

What to evaluate

  • Plan for islanded operation from the start
  • Keep fuel options open over the life of the system
  • Check prime mover ramp and thermal limits against load changes

One architecture, four response layers.

Milliseconds · KineticS1 flywheel buffers fast transients
100s of ms · SynchronousS2 supplies real inertia and a voltage and frequency reference
Seconds to minutes · ElectrochemicalBattery covers longer-duration energy and black start
Continuous · DigitalPCS/VSG and EMS coordinate the other three

Tell us about your load.

Share your site, power source and timeline. We’ll show where stabilization fits.

Talk to our team

Energy developers

Add the missing layer to your generation projects.

A well-sited fuel cell or gas plant answers where the power comes from. DEROS answers what happens the instant the load changes.

The challenge.

Generation response and transient response are different design problems. Designing around the load’s average draw leaves ramp-rate constraints, thermal cycling and stability problems unsolved, and storage alone can’t cover every timescale.

How DEROS fits.

  • Add a transient layer to any prime mover
  • Hand-off from milliseconds to hours across four layers
  • Deliver more reliable behind-the-meter projects
  • Grid-connected or islanded operation

What to evaluate

  • Design generation around the load’s dynamic behavior, not just its average
  • Treat generation response and transient response as distinct problems
  • Combine technologies by timescale rather than treating storage as interchangeable

One architecture, four response layers.

Milliseconds · KineticS1 flywheel buffers fast transients
100s of ms · SynchronousS2 supplies real inertia and a voltage and frequency reference
Seconds to minutes · ElectrochemicalBattery covers longer-duration energy and black start
Continuous · DigitalPCS/VSG and EMS coordinate the other three

Tell us about your load.

Share your site, power source and timeline. We’ll show where stabilization fits.

Talk to our team