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Energy & utilities

Energy resilience: engineering a smarter European grid

Europe’s energy resilience is at risk. Learn why digital foundations, shared standards and small, scalable steps are key to a smarter grid.

January 22, 20263 Minutes to Read
With insights from

Daniel Clauss

Head of Energy

In Europe, energy resilience is no longer a given. It’s something we must intentionally engineer. Geopolitical shocks, climate extremes, cyberattacks, and shifting demand patterns are revealing just how quickly the grid must adapt. 

Although the continent has made huge strides in electrification and renewable deployment, the digital intelligence needed to operate a truly modern, smart grid still lags behind. Millions of new devices, from inverters and heat pumps to distributed generation, are connecting faster than the development of systems, data, and standards required to manage them. At the same time, much of the underlying infrastructure remains decades old and was never designed to operate in a digital environment. 

As Europe pushes toward a more electrified and interconnected future, the question isn’t whether the grid will change, it’s how intelligently and quickly we can shape that change. We need to focus on the realities holding the system back, and on the digital building blocks like quality data, shared standards, and smarter integration that will determine Europe’s ability to withstand what comes next.

The reality gap and legacy complexity

According to Eurelectric, nearly 30% of Europe’s power grids are already over 40 years old, a figure that’s expected to climb toward 90% by 2050. This ageing infrastructure was never designed for today’s electrification pace or the surge of distributed energy resources now connecting to the system. This creates a two-sided challenge: rapidly growing fleets of new grid-edge devices on one hand and ageing physical infrastructure on the other. 

Europe’s grid faces a collision between legacy hardware and new digital layers. Much of the equipment still in operation predates modern communication standards, creating a patchwork of adapters, middleware, and bespoke integrations. These enable new capabilities, but they also introduce fragility, cybersecurity risk, and inconsistent data across systems.

Of course, Europe is not short on innovation. There are compelling pilot projects demonstrating what a more modern, digital grid could look like. One recent example comes from Switzerland’s national grid company. Swissgrid now deploys autonomous drones paired with intelligent image analysis to inspect extra-high-voltage lines. These types of initiatives show what’s possible, but they remain isolated pockets of innovation rather than continent-wide capabilities.

And this is the heart of the reality gap. While innovation exists, the data standardisation needed to connect systems, from formats and update frequencies to exchange mechanisms and transparency, is still missing. 

As the power system evolves, real-time operational challenges are becoming more pronounced. With a growing share of renewables and fewer assets providing rotational inertia, system stability can no longer rely on physical properties alone. Instead, resilience increasingly depends on accurate, standardised, data for forecasts and support of ancillary services such as inertia substitution, voltage control, and transient stability management.

Explore the future of energy

Quality and standards: foundations of energy resilience

Data quality and standards are some of the most important parts of the “how” behind a resilient grid. They ensure that devices, networks, and operators can understand each other well enough to act intelligently, whether that is a substation responding to local congestion or a heat pump adjusting to price signals.

Protocols like IEC 104 and IEC 61850 represent crucial steps toward a common language across Europe, but adoption remains uneven, and interpretation varies from one vendor to the next. At the fast-growing grid edge – where inverters, EV chargers, batteries and heat pumps are connecting at speed – shared definitions and interfaces are still emerging.

This inconsistency slows innovation. Operators may be collecting similar data, yet store and describe it using different structures or terminology. Even a parameter as basic as voltage can have multiple interpretations depending on the system.

These discrepancies create drag on everything from network planning to analytics to AI deployment, because meaningful automation depends on consistent, interoperable data.

Start small. Build confidence. Scale resilience.

Progress can begin with modest, coordinated efforts that are small enough to manage, visible enough to build trust, and meaningful enough to deliver value. Over time, these small wins layer into system-level confidence, enabling scalable energy resilience.

We’ve seen this in our work with energy organisations across Europe. Here are just a couple of examples:
  • National Grid ESO and energy digitalisation

    For National Grid ESO (now NESO) in the UK we collaborated with other industry experts to define how to govern a shared digital energy infrastructure for the benefit of all energy stakeholders. Together, we developed a comprehensive vision for a ‘Digitalisation Orchestrator’ – a critical component for governing a successful energy system. 

    The ‘Digitalisation Orchestrator’ approach provides oversight, direction and transparency for a shared architecture built by the whole sector. It defines clear roles, responsibilities, and rules so that incremental investments yield system-wide benefits. Over time, this can turn a patchwork of disconnected digital pilots into a unified, resilient system.

    Read the full case study
  • Swissgrid and fostering a culture of innovation

    Often, technology alone is not enough. For the grid to evolve, organisations must also evolve. Swissgrid understood this and approached our team for help in instilling a culture of innovation and continuous improvement across the company. Through regular innovation coaching, workshops, and access to technical experts, we empowered Swissgrid’s employees to transform their ideas from conception to reality. 

    This shows that even within risk-averse organisations, where safety and reliability are non-negotiable, introducing structured innovation processes can unlock agility, encourage smart risk-taking, and create a foundation for more advanced digitalisation projects over time.

    Read the full case study
  • Data standardisation for the Department for Energy Security and Net Zero

    Through our work with the Department for Energy Security and Net Zero (DESNZ) to identify data standards for a more interoperable energy future, we helped shape a clear roadmap that accelerates sector-wide coordination. 

    This type of foundational work provides structure that enables future digital solutions to integrate cleanly, evolve sustainably, and avoid costly divergence later. It’s a reminder that resilience begins with the quiet engineering and development of shared system frameworks.

  • Innovate UK and data ecosystems

    Backed by Innovate UK, we built an Electric Vehicle (EV) Infrastructure Investor App, that exposes the complexity of EV challenges and shows how data ecosystems can help government, energy, and transport bodies to solve them. 

    The result is a powerful proof of concept that connects data from bodies that otherwise don’t connect and transforms it into meaningful insight.

    Read the full case study

Let’s build a more intelligent, connected energy system

A future-proof, resilient energy grid isn’t built overnight, but through the steady tangible wins that prove a smarter, more flexible system is not only possible, but already taking shape. 

At Zühlke, we believe the path to a resilient European energy system begins with structured, human-centred engineering and governance, not with a big-bang overhaul.

We see value in grounding innovation in practical pilots, defining shared digital infrastructure, building transparent governance, and cultivating a culture of continuous improvement. With that foundation, we can transition the grid into one that’s capable of adapting, learning, and scaling.

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