Validation & Digital TwinProve the whole system before you ship it.
The DJIN Emulator builds a physics-based digital twin of your energy site. GenieOS runs against simulated devices exactly as it would against the real thing — so controls, integrations, and automation logic are validated long before anything reaches the field.
A faithful copy of your site, in software.
The Emulator models real energy equipment with physics-based device behavior. To GenieOS, a simulated PCS, battery, generator, or meter is indistinguishable from physical hardware — same protocols, same registers, same responses. That fidelity turns a digital twin into a genuine proving ground for the entire control stack.
Physics-based devices
Simulated equipment behaves like the real thing — not a static mock or a spreadsheet.
- Realistic device dynamics and state machines
- Native Modbus / industrial protocol surfaces
- GenieOS can't tell sim from real
- Vendor-agnostic, same driver library as production
The whole site, end to end
Build an entire project as a twin — devices, blocks, and the control logic that ties them together.
- Compose multi-device sites and blocks
- Exercise dispatch and automation logic
- Reproduce a real configuration before it deploys
- Iterate on a site design without hardware
Catch it in software, not on a crane truck.
Commissioning surprises are expensive. The Emulator moves Factory Acceptance Testing upstream — validating the system in a digital twin before a single device ships.
Validate configurations
Confirm device maps, blocks, and setpoints behave correctly before deployment.
Test integrations
Prove a new device or driver against the twin before connecting real hardware.
Exercise automation logic
Run dispatch and control logic safely, with no risk to live equipment or the grid.
De-risk go-live
Fewer on-site surprises, smoother commissioning, more predictable schedules.
A development-grade capability that makes every deployment more reliable.
The Emulator isn't a separate product to buy — it's how DJIN builds, hardens, and de-risks an EMS delivery. The result is a system that arrives on site already proven.
The full control stack is validated in a true digital twin — not deferred to commissioning day.
Logic, integrations, and configurations are proven in advance, so what lands in the field works.
Issues surface in software, where they're cheap to fix — cutting field rework and overruns.
Train operators. Switch on scenarios you can't run for real.
A digital twin is a safe place to learn and to push limits — without touching live infrastructure or waiting for the right conditions in the field.
Training before go-live
Onboard operators on a faithful twin of their own site, so they're ready on day one.
- Practice on the real GenieOS interface
- Rehearse normal operations and response
- No risk to live equipment or production
- Build confidence before the system is energized
The "impossible" scenarios
Inject fault conditions, edge cases, and rare grid events on demand — events you'd never stage on real hardware — to prove how the system responds.
- Reproduce device faults and comms loss
- Drill alarm handling and recovery paths
- Stress automation logic against edge cases
- Validate behavior under conditions hard to create in the field
Where the AI Engine is connected, the twin is also a safe environment to validate the insight it surfaces — analysis and recommendations only. All control stays with the EMS and its operators.
Confidence for the buyer. Depth for the engineer.
De-risk the whole project
We prove the entire system in a digital twin before shipment — cutting commissioning surprises, schedule slips, and cost overruns. It's a concrete reason to choose DJIN.
A modern engineering loop
Physics-based emulation, integration testing, and training in one environment — the kind of rigor that legacy, PLC-era EMS tooling was never built to deliver.
Want to see the digital twin?
Book a demo and we'll walk you through how DJIN validates an entire energy system before it ships.