Decarbonising energy systems is a cornerstone of the global net-zero transformation. To achieve climate targets, industries must shift away from conventional energy sources and adopt clean, efficient alternatives—without compromising performance, safety, or resilience.
From hydrogen to e-fuels, electrification to carbon capture, the challenge is complex and highly technical. It calls for in-depth engineering expertise and system-wide thinking to design, validate and implement energy solutions that meet tomorrow’s demands.
At Airbus Protect, we help our clients navigate the energy transition by providing expert support across the entire energy and fuel value chain—from R&D and design to operations and infrastructure development.
We combine strong domain knowledge in industrial and aeronautical systems with cutting-edge insights into new fuels, electrification, and decarbonisation technologies. Whether you’re designing future programmes, scaling low-carbon infrastructure, or exploring hydrogen integration, our teams ensure your projects are future-proof and regulation-ready.
With us, the energy transition becomes a catalyst for innovation, not a barrier.
Get in touch to discover how we can support you
Today’s systems are more and more complex. They interact with each other, hence the importance of identifying possible flaws in order to anticipate problems and identify appropriate solutions. Modeling Thanks to modeling, this former student of Supelec detects the possible flaws of systems used in different sectors of activity to make their operation safer. An […]
Heather Clayton is a Project Controller for Service Delivery at Airbus Protect. Her role is to support and maintain UK project budgets and schedules. Here are some insights into her life at Airbus. What’s the best career lesson you’ve learned so far? Don’t be afraid to ask questions. Starting a job in cyber can be […]
This document presents a security architecture model for critical, distributed systems. As a model, it is a good tool to simplify analysis on complex systems, and is useful both in assessing existing systems, where divergence from the model points to probable security issues, and building new systems, where fitting in the model guarantees past experience is taken into account.
