Solar asset intelligence
Intelligent Inspection. Spatiotemporal Twins.
Robotic terahertz diagnostics assess subsurface condition. Digital twins track change across sites and time, guiding decisions to lower lifecycle costs.
Intelligent robotic inspection
Drone-mounted edge AI screens RGB and thermal imagery. Targeted terahertz scans assess subsurface material and interface condition.
Spatiotemporal digital twins
Models link material condition, environmental exposure and generation history, updating with new evidence to track change across sites and time.
Lifecycle decision support
Compare interventions by expected net benefit. Use measured outcomes to refine maintenance, material selection and site-specific design.
How it works
From inspection to informed action.
Intelligent screening
Drone-mounted edge AI checks RGB and thermal image quality, maps observations to individual modules and prioritises anomalies for targeted inspection.
Targeted THz diagnostics
The wheel–rotor platform scans priority modules and healthy controls, using terahertz to assess encapsulation layers and buried interfaces in compatible module structures.
Spatiotemporal modelling
Inspection, exposure and electrical data update module–string–plant models. ST-Twins track condition across sites and time, identifying where further measurements could improve decisions.
Decisions and feedback
Owners compare maintenance and replacement options by expected net benefit. Actual costs and generation responses refine the models, improving future recommendations and inspection priorities.
PV lifecycle cost optimisation
Click any step or outcome to explore
Field sensing
Cloud intelligence
Decision support
Model updateActions · measured outcomes · costs
- 01Screen
Aerial screening
Scheduled and event-triggered RGB and thermal surveys identify and locate anomalies. Module-level mapping, terrain and environmental data provide spatial context and reveal changes over time.
- 02Diagnose
Targeted diagnostics
Robotic close-range inspections examine selected anomalies alongside healthy reference modules. Where suitable, terahertz sensing adds subsurface evidence beyond conventional optical and thermal imaging.
- 03Model
Spatiotemporal digital twin
Inspection records, environmental exposure, electrical data and maintenance history are connected through asset IDs and timestamps to track degradation, estimate energy losses and quantify uncertainty.
- 04Optimise
Decision intelligence
Cleaning, reinspection, repair, replacement and deferral are evaluated against recoverable energy, cost and risk. Measured intervention outcomes refine future predictions and operating decisions.
Verified outcomes continuously refine the system
Regional exposure & inspection decisions
Where in Australia are your solar assets?
Two panels can deliver the same power today yet carry very different lifetime costs, because hidden material deterioration develops differently under each site's conditions. Find your region to see the dominant exposures, the mechanisms that must be told apart, and how we diagnose before we act.
Regional context should change inspection and maintenance decisions, not assign a failure rate to an entire state.
- 1Monsoonal & humid tropical northHeat, humidity, wet season, vegetation
- 2Warm humid eastern seaboardHumidity, dew, coastal deposits, shading
- 3Arid interior & north-westHeat, diurnal swing, dust, remoteness
- 4Semi-arid transition & inland marginsDry spells, farm dust, birds, mismatch
- 5Mediterranean-type south-west & southern pocketsDry summers, wet winters, salt, smoke
- 6Temperate south-east & TasmaniaCool, wet, dew, frost, low sun angles
Zone
Generalised exposure and diagnostic framework, not a measured failure-rate map. Local exposure, module construction and operating conditions require site-level verification. Sources: Australian Bureau of Meteorology; IEA PVPS Task 13; selected PV reliability and terahertz inspection studies.
Capabilities
What we do at each stage of a solar asset's life
Asset owners & O&M
Operating plants
Schedule cleaning, repairs and replacements on what they recover, and stop paying for low-value work.
See howDevelopers & EPCs
Deploying plants
Rank layout, tilt, row spacing, mounting height and module choice by whole-of-life cost, not just first-year yield.
See howModule manufacturers
Manufacturing plants
Trace field failure modes back to bills of materials, supplier batches and lamination windows before warranty costs arrive.
See howOutcomes
Lower lifecycle cost. More delivered energy. Longer useful life.
Targeted inspections
Fleet-wide screening directs detailed diagnostics where they matter most.
Value-driven maintenance
Prioritise interventions by recoverable energy, cost and risk.
Evidence-led prevention
Trace degradation and intervention outcomes to inform future design and maintenance.
About Metrifield
Solar asset intelligence, grounded in engineering.
Founded in Sydney by Harrison Su, Sohan Domingo and Laurens Willems van Beveren, Metrifield Dynamics brings together expertise in materials science, field inspection and edge AI to connect multiscale diagnostics with energy performance and lifecycle economics. Meet the team.

