AI strengthens craftsmanship in the energy transition

The energy transition is accelerating and requires reliable design of increasingly complex systems, such as hybrid heating systems, DC grids, and hydrogen applications. Within TransAct, The Hague University of Applied Sciences investigates how AI supports professionals in analysis, design, and problem-solving. The research shows how AI strengthens work processes without replacing professional expertise.

Project background

The installation and energy sectors face growing technological complexity and a shortage of skilled professionals. Projects combine heat, electricity, data, and control engineering. TransAct examines whether AI can support expert reasoning in system integration. AI proves valuable in generating solution directions but often lacks context, physical models, and control nuance. Fully autonomous use therefore introduces risks.

AI speeds up work, but only when it strengthens the experience of skilled professionals. In TransAct, we show how to use AI responsibly and effectively in practice.

- Sander Mertens

Objective

Deploy AI as a safe and reliable support tool for complex system integration challenges.

Target group

Companies in installation, engineering, energy supply, maintenance, and consultancy. From heat pump specialists to building automation firms. Also relevant for HR and innovation managers investing in professional development, knowledge sharing, and quality assurance.

Method

Research on AI personas using realistic case studies, including fault diagnosis, hydraulic imbalance, and hybrid systems. Results were compared with expert reasoning and validated through discussions with engineers and installers to determine where AI reliably supports practice and where it does not.

Results

AI supports exploring solution directions, running scenario analyses, checking technical documentation, and facilitating learning processes. At the same time, AI remains limited in detailed component behavior, control engineering nuance, and system integration.
Core conclusion: AI is effective as a support tool, not as an autonomous decision-maker.

Impact

AI accelerates engineering processes and improves decision-making. It supports knowledge sharing and enables more effective collaboration across disciplines. The project also provides a practical framework for safe AI application, with human validation remaining essential.

Duration

2023–2024

Funding

Conducted within TransAct, supported by The Hague University of Applied Sciences and sector partners

Collaboration

Research Group Energy in Transition, Research Group Sustainable Talent Development, engineers, installers, and education and innovation partners

Team

Sander Mertens – project leader
Evert Jan Duindam – researcher

Contact

Research Group Energy in Transition – The Hague University of Applied Sciences