Model
Start with the physics.
Represent the interaction of sunlight, plant geometry and energy conversion. Make the assumptions visible.

CONTEXT BECOMES CLARITY
A solar plant is a connected system. We are building the tools to understand its relationships — and make design and operational choices with a clearer view of the physics.
Meet AridMetricsIrradiance · Solar position · Weather
Tracker angle · Pitch / GCR · Row geometry
POA irradiance · Row shading · Diffuse / ground
Module temperature · DC conversion · AC energy
Design variables · Control strategy · Constraints
The approach
A solar plant is a connected physical system. AridMetrics is being developed to make those connections easier to understand — from the environment around a plant to the decisions that shape its operation.
Represent the interaction of sunlight, plant geometry and energy conversion. Make the assumptions visible.
Explore how irradiance, row shading and tracker geometry influence plant behaviour across different conditions.
Compare design and operational choices within physical constraints, with uncertainty kept in view.
Two perspectives
The questions change when a plant moves from a drawing to the field. The analysis should reflect that.
Explore the relationship between layout, land use and tracker geometry while the design is still open.
Geometry as a design variable.
Investigate tracker strategy and operational angle decisions around the infrastructure already in the ground.
Infrastructure stays fixed. Strategy can be explored.
Engineering & validation
Useful decisions need a defensible foundation. Our development approach centres on traceable assumptions, reproducible analysis and comparison with measured data.
AridMetrics is currently under active technical validation.
Physical conditions
Compare · Examine · Refine
The platform
A connected workspace for plant geometry, irradiance behaviour and scenario analysis. Designed around the questions engineers need to ask.
A considered next step
For conversations about solar engineering, physical modelling and the future of performance intelligence.
Contact details will be announced here.