Technologies

Grounded in physics. Accountable to evidence.

Our hybrid digital twin combines physical modelling with real-world observations to track how assets evolve across space and time. It quantifies performance impacts, evaluates intervention scenarios and tests predictions against measured outcomes.

The evidence chain

From material origins to measured outcomes.

A continuous evidence chain connects physical conditions, asset performance and verified results, keeping predictions traceable, testable and open to refinement.

01Material & process contextBill of materials · batch · lamination 02Environmental exposureClimate zone · terrain · microclimate 03Condition evolutionRepeat inspection · subsurface evidence 04Performance impactEnergy loss · weather-normalised 05Outcome validationMeasured cost · generation response Validated outcomes inform future maintenance, design and manufacturing

Sensing

From surface anomalies to material evidence.

RGB and thermal surveys locate suspected problems across the array. Targeted robotic terahertz measurements investigate subsurface material and interface conditions that conventional imaging cannot directly assess.

Inspection drone with RGB and thermal camera over a solar array
01 — Aerial RGB and thermal screening identifies suspect modules.
Crawler robot on a solar module carrying a terahertz scanner
02 — Robotic terahertz sensing investigates selected subsurface conditions.

Aerial RGB & thermal screening

RGB identifies soiling, shading and visible damage; thermal imaging reveals abnormal heating. Together, they rapidly locate suspect modules and focus detailed inspection where it is most valuable.

Robotic terahertz diagnostics

Terahertz sensing probes accessible dielectric layers and interfaces, revealing contrasts associated with moisture, material changes and concealed structural irregularities. It adds subsurface evidence beyond optical appearance and surface temperature.

Environmental context

Irradiance, temperature, wind and shading provide the context needed to distinguish environmental effects from persistent anomalies, reducing false alarms and unnecessary inspections.

Condition tracking

Repeated observations and operating data reveal whether anomalies are temporary, persistent or progressing. Follow-up inspections are prioritised by changes in condition and their potential impact.

Decision-making

Where every module is, what it is made of, and how it is behaving

Each module is linked to the place it lives. Over time the database becomes a map of how solar hardware ages across Australia's climate zones, and a guide to what to build where. Explore the regional map.

Flows in Comes out Module recordID · materials · batch · history EnvironmentClimate · terrain · microclimate PerformanceSCADA · strings · weather-normalised Six climate zonesSites stratified by exposure Deployment guidanceWhat to build where Degradation mapRates by material · batch · zone One recordper module Flows in Comes out Module recordID · materials · batch · history EnvironmentClimate · terrain · microclimate PerformanceSCADA · strings · weather-normalised Six climate zonesSites stratified by exposure Deployment guidanceWhat to build where Degradation mapRates by material · batch · zone One recordper module

Click any box to see what it holds. Four streams flow in and attach to the same module; two things come out of it.

Workflow

From site assessment to verified decisions.

A phased approach that begins with broad-area screening and progresses to targeted diagnostics, physics-informed modelling and economic optimisation. Each step adds evidence where it can improve the next decision.

Six questions, in order

  1. 01 ScreenWhere?
  2. 02 CharacteriseUnder what conditions?
  3. 03 DiagnoseWhat is happening?
  4. 04 ModelWhat is the impact?
  5. 05 DecideWhat is worth doing?
  6. 06 VerifyDid it deliver?

Measured outcomes refine the next cycle

Engagement pathway

  1. 1Focused pilotOne site, defined scope, measured baseline
  2. 2Validated valueNet benefit verified against the existing workflow
  3. 3Scaled deploymentFleet rollout, repeat cycles, growing climate database

01 — Screen & establish the baseline

Drone RGB and thermal surveys identify and locate anomalies across the array. Existing SCADA, asset and maintenance records establish operating baselines and guide inspection priorities.

02 — Characterise & diagnose

Site-specific heat, irradiance, moisture, shading and environmental exposure provide context for observed anomalies. Targeted robotic terahertz scans investigate selected modules and reference samples, adding subsurface material evidence where it can inform decisions.

03 — Model & optimise

Multimodal observations feed a physics-informed, multiphysics digital twin linking environmental exposure, material condition and energy performance. Intervention scenarios are evaluated against expected energy recovery, lifecycle cost, risk and uncertainty.

04 — Decide, verify & improve

Prioritise cleaning, reinspection, repair, replacement or deferral based on expected net value. Compare actual costs and measured outcomes with predictions to refine future maintenance, plant design and manufacturing decisions.