How do you keep growing when the electricity grid is full?

You have plans: electrification, expansion, sustainability. And then comes the response from the grid operator: queue, no transport capacity, or "we are investigating it."

Mar 18, 2026

How do you keep growing when the electricity grid is full?

You have plans: electrifying, expanding, making sustainable. And then comes the response from the grid operator: queue, no transport capacity, or "we are looking into it."

Suddenly, energy changes from a prerequisite to a strategic bottleneck.

Grid congestion is now a reality in large parts of the Netherlands. At peak times, the demand for transportation of electricity is higher than the grid can handle. New connections or upgrades end up on a waiting list. In some regions, the lead time is several years. Yet, discussions within organizations often focus on too small a scale: "Can we accelerate somewhere?" or "Can’t we just get a larger connection?"

The better question: how do you make your operation agile in a world where grid capacity is scarce?

You have plans: electrifying, expanding, making sustainable. And then comes the response from the grid operator: queue, no transport capacity, or "we are looking into it."

Suddenly, energy changes from a prerequisite to a strategic bottleneck.

The better question: how do you make your operation agile in a world where grid capacity is scarce?

Why network congestion is such a persistent problem

Grid congestion feels like something external, and it partly is. But organizations that deal well with it make one mental switch:

You do not manage energy consumption. You manage energy demand at the right moment.

Congestion rarely concerns your annual consumption. It’s about peaks: when you simultaneously draw or deliver a lot. And that’s exactly where the controls are. The ACM and grid operators also emphasize that smarter use of the existing grid is an essential part of the solution, alongside grid reinforcement.

Grid congestion feels like something external, and it partly is. But organizations that deal well with it make one mental switch:

You do not manage energy consumption. You manage energy demand at the right moment.

The three patterns that cause network congestion to halt organizations

1. Growth = more capacity (and that assumption no longer works)

Many projects start from the same logic: more electricity → more contract capacity → done. But grid congestion makes that linear thinking unsustainable. In many locations, extra transport capacity is simply not (quickly) available. Plans are delayed or put on hold.

The consequence: energy becomes a brake on output. Not because you can’t buy enough energy, but because you can’t transport it at the moment you need it.

2. You don’t see your own peaks (or too late)

For most companies, energy is a monthly bill, not a management variable. This means you miss:

when peaks occur (and why)
which assets or processes cause the peak
whether that peak can be shifted, flattened, or managed internally

Without that insight, grid congestion becomes a sort of fate. While in many cases, you do have levers. You just don’t know where they are.

3. The search for one technical silver bullet

"Then we will set up a battery." "Then we will do load shedding." "Then we will participate in congestion management."

All possible routes. But they only work as part of a coherent plan: measure → manage → secure. Otherwise, you end up with an expensive solution that doesn’t land in operations.

1. Growth = more capacity (and that assumption no longer works)

The consequence: energy becomes a brake on output. Not because you can’t buy enough energy, but because you can’t transport it at the moment you need it.

2. You don’t see your own peaks (or too late)

For most companies, energy is a monthly bill, not a management variable. This means you miss:

when peaks occur (and why)
which assets or processes cause the peak
whether that peak can be shifted, flattened, or managed internally

Without that insight, grid congestion becomes a sort of fate. While in many cases, you do have levers. You just don’t know where they are.

3. The search for one technical silver bullet

"Then we will set up a battery." "Then we will do load shedding." "Then we will participate in congestion management."

All possible routes. But they only work as part of a coherent plan: measure → manage → secure. Otherwise, you end up with an expensive solution that doesn’t land in operations.

What is actually needed then? A strategy that starts with flexibility.

What is actually needed? Start with flexibility.

You essentially have three ways to deal with grid congestion:

Reduce peak demand — peak shaving
Shift peaks — load shifting
Internally absorb peaks — storage, alternative generation or regulation

The good news: you don't have to do this "all or nothing". Most organizations already gain a lot with a few targeted interventions.

Four steps: from insight to control

Step 1 — Make your energy profile manageable (not just visible)

The core principle: controlling only works when you link energy to your process.

So not just a graph of kW's, but answers to questions like:

Which installations cause the top-3 peaks?
Which peaks are necessary for output, and which are for timing or comfort?
Which peaks are related to startup, transition, or cleaning?
What happens if you shift a step by 30–60 minutes?

That is the difference between energy monitoring and energy as a control instrument. It starts with unlocking your main meter data — through a secure API connection with your measuring company and selectively placing submeters on the installations that make a difference: production machines, HVAC, compressed air, cooling, charging facilities.

This way you move from a dashboard full of numbers to actionable information: trends, deviations, peak profiles, base load, out-of-hours consumption. Data on which you base discussions and decisions, instead of assumptions.

Want to know more about how that looks in practice? Read how we set up energy monitoring: from main meter to actionable information.

Step 2 — First activate the 'low complexity' flexibility

Before you think about major investments, look at measures that quickly deliver value:

Start/stop logic and sequencing — not everything starting at once
Smart planning of energy-intensive steps (compressors, ovens, cooling, loading processes)
Bandwidth control — reducing within safe limits during peak hours
Peak alerting — real-time signals for operators and technical services

This is precisely why congestion management focuses on spreading the load: companies are asked to temporarily use or deliver less during busy times. A form of "peak avoidance" on the electricity grid.

Step 3 — Understand congestion management: opportunity, but not always a solution

Congestion management is a temporary way to make better use of existing grid capacity until the grid has been expanded. Sometimes this means offering flexible capacity voluntarily. At certain stages, participation may also be mandatory, depending on the congestion area and the rules of the grid operator.

Importantly: congestion management requires that you can reliably provide flexibility. This is not an Excel agreement; this is operational control.

Step 4 — Only then: invest in storage or alternatives

Battery storage can play a strong role, especially for peak leveling, balancing generation and consumption internally, and preventing exceedances.

But storage is rarely the first step. The business case depends on:

how well you have already reduced your peak
how predictable your flexibility is
what contract types and rates apply

The order matters: first measure and control, then invest in hardware.