Science / Evidence before claims
Reflect sunlight. Release heat. Measure the difference.
Arisol Materials investigates how surfaces exchange energy. Arisol Roof Intelligence supports screening and decisions about where an upgrade deserves a closer look. AI assists analysis; passive cooling is a physical mechanism. Neither a satellite image nor a promising laboratory result replaces a building-level measurement.
Two properties. Different jobs.
Solar reflectance
Reflectance describes the fraction of incoming sunlight a surface sends back rather than absorbs. Higher reflectance can reduce solar heat gain. Visible color is not a complete measurement: near-infrared reflection also matters.[6]
Thermal emittance
A warm surface releases energy as thermal infrared radiation. Thermal emittance describes how effectively it does that. It is distinct from solar reflectance; a useful cool-roof comparison considers both.[6]
Passive radiative-cooling research combines low solar absorption with thermal emission through the atmospheric sky window, commonly described as 8–13 micrometers. Published calcium-carbonate/acrylic research demonstrates the mechanism under its own test conditions, not performance of Arisol samples.[5]
Below-ambient cooling is not an automatic property of a white coating. The energy balance also includes atmospheric radiation, convection, conduction, humidity, clouds and the surface’s view of the sky. A cooler roof surface is not, by itself, a measured reduction in a building’s electricity bill.
Our starting point is public research.
Arisol V0 uses a public CaCO₃ / porous-acrylic reference formulation. V0 is a research baseline, not proprietary Arisol chemistry. The work is at the prototype / validation stage. We do not publish measured Arisol cooling performance, validated energy savings or commercial material specifications here.
The baseline is intended to establish fabrication, repeatability, comparative testing and durability methods. Published research provides context—not a certification, license clearance or result that transfers to a different formulation, thickness, substrate or climate.
The development path is baseline → repeatability → particle engineering → pigment loading → thickness → durability → an Arisol-developed formulation. Coatings come first; panels and films are future forms, not available validated products.
From territory signals to a roof-level question
- Observe: use Earth Engine datasets for environmental context where configured and available.
- Prioritize: combine interpretable physical variables with learned geospatial similarity. AlphaEarth embeddings summarize annual conditions at 10-meter resolution in 64 dimensions; they are not roof-material measurements.[1]
- Inspect: reconcile an address with building geometry and Solar API coverage. Solar API describes solar potential; its photovoltaic financial estimates are not cool-roof savings.[3]
- Estimate: compare explicit roof assumptions in a separate screening energy model.
- Validate: inspect the site and compare predicted changes with measured outcomes before making a retrofit commitment.
The AlphaEarth Foundations Satellite Embedding dataset is produced by Google and Google DeepMind.
Sources
- [1] Google: Satellite Embedding V1
- [3] Google: Solar API building insights
- [5] Li et al. (2020): Full Daytime Sub-Ambient Radiative Cooling in Commercial-like Paints with High Figure of Merit — related research, not a claim that this is the exact Arisol V0 recipe.
- [6] Lawrence Berkeley National Laboratory: Cool Roofs