VR and AR Training for the Next Generation of Clean-Energy Technicians

Relevant case studies

Blog post: 27/08/2026 2:29 pm

Author: Spark Team

VR and AR Training for the Next Generation of Clean-Energy Technicians

The transition to clean energy is creating something larger than a collection of individual renewable-energy industries. Wind turbines, solar photovoltaic systems, battery energy storage systems (BESS), heat pumps, hydrogen infrastructure and modern electricity networks increasingly depend on a shared workforce of technically competent people who understand electrical safety, isolation, commissioning, diagnostics, inspection and maintenance.

This creates an opportunity to rethink technician training as a cross-sector discipline rather than repeatedly starting from scratch for every technology.

Virtual Reality (VR) and Augmented Reality (AR) can support this approach particularly effectively. Bespoke VR can prepare technicians before they enter a live environment, while bespoke AR can provide contextual information and procedural guidance while work is taking place.

For employers, training providers and asset operators, the combination can potentially reduce mistakes, minimise dependency on scarce physical training equipment and improve the consistency with which Standard Operating Procedures (SOPs) are understood and followed.

A growing requirement for transferable technical skills

The scale of the workforce challenge is significant. The UK Government's Clean Energy Jobs Plan projects substantial growth in technical clean-energy employment, while Skills England identifies electrical and engineering capabilities among the important areas required to support the transition.

At the same time, many apparently different clean-energy roles share fundamental competencies.

• Safe electrical isolation

• Permit-to-work procedures

• Lockout and tagout processes

• Electrical testing

• Component identification

• Reading schematics

• Fault diagnosis

• Commissioning

• Working at height

• Emergency response

• Inspection and documentation

A technician maintaining a solar inverter and another working on a BESS installation may operate on very different equipment, but both require disciplined procedural behaviour around electrical hazards.

VR allows these common skills to be taught consistently before technology-specific modules are introduced.

Using VR before technicians reach the job

A bespoke VR environment can reproduce the customer's actual equipment, SOPs, terminology and working environment.

Instead of watching an isolation procedure being demonstrated, for example, the learner can perform it.

1. Identify the correct asset.

2. Review the work instruction.

3. Select appropriate PPE.

4. Identify energy sources.

5. Perform the required shutdown sequence.

6. Apply isolation controls.

7. Prove the test instrument.

8. Test for dead.

9. Re-prove the instrument.

10. Record completion.

The simulation can identify incorrect sequencing rather than simply testing whether the trainee remembers the theory.

The same training framework could then present a solar inverter, BESS cabinet, heat-pump electrical supply, hydrogen electrolyser auxiliary system or wind-turbine electrical cabinet.

Building competence through mistakes that do not cost money

One of VR's most valuable characteristics is the ability to allow controlled failure.

A trainee can isolate the wrong circuit, miss an interlock or attempt an incorrect reset without damaging equipment or endangering colleagues.

The training application can immediately explain the consequence.

This turns mistakes into measurable learning events rather than potentially expensive operational incidents.

AR during real clean-energy work

Once technicians enter the workplace, AR can address a different problem: accessing the correct information at the moment it is needed.

A tablet, phone or suitable wearable device could recognise an asset and display information such as:

• asset identity;

• isolation points;

• inspection requirements;

• torque values;

• wiring diagrams;

• previous maintenance information;

• commissioning steps;

• acceptable operating ranges;

• fault-code explanations.

Instead of searching through documentation away from the equipment, technicians can potentially see relevant instructions within the context of the physical installation.

Connecting VR and AR to the same SOP

The greatest value may come when VR and AR are not treated as independent technologies.

The procedure rehearsed in VR before deployment can become the procedure supported through AR in the field.

This creates a consistent digital training journey:

Learn → practise → assess → deploy → guide → verify.

It can also make SOP changes easier to communicate. When procedures change, organisations can update the corresponding training and field-support experiences rather than relying exclusively on documents and classroom briefings.

A bespoke approach is essential

Generic clean-energy training has a role, but operational training normally becomes most valuable when it reflects the organisation's actual environment.

Spark therefore focuses on bespoke VR and AR solutions.

A solution can reproduce the client's own equipment, sites, interfaces, terminology, hazards, SOPs and assessment criteria rather than forcing the organisation to adapt to a generic simulation.

Conclusion

Clean-energy technician training is becoming a cross-sector challenge. Wind, solar, batteries, heat pumps, hydrogen and grid infrastructure may involve different technologies, but many of the behaviours that create safe, competent technicians are transferable.

Bespoke VR provides somewhere to build those behaviours before technicians encounter live assets. Bespoke AR can then support those same behaviours while technicians carry out real work.

Together, they offer organisations a way to scale practical competence while potentially reducing training costs, operational mistakes and dependence on scarce physical equipment.

To explore a bespoke VR or AR clean-energy technician training solution, contact Spark.

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