Resource Use and Costs
Verdify measures the resources spent to reduce plant stress: electricity, gas heat, and water. Better planning should lower those costs over time by choosing the right tool for the job, avoiding waste, and shifting flexible electrical work into solar-rich windows when the greenhouse can safely do that.
The greenhouse is solar-aligned, not off-grid. This page is the site’s home for utility accounting: runtime-modeled electric load from published device watts and observed on-time, gas therms from furnace runtime, and water meter totals under the public rate assumptions. Live device state stays on Operations. AI compute power is shown separately below as GPU watts over time so greenhouse utility totals do not quietly absorb the AI compute layer.
The useful question is not whether the greenhouse sounds sustainable. It is which resource did the work, what that work cost, and whether a similar plant outcome could have been reached with a cheaper or better-timed action.
Live Cost Proof
These panels are the current receipts for runtime-modeled electric load, solar overlap, and rate-modeled daily cost. Solar alignment is timing evidence: it says modeled electrical work often lands when the property has solar available. The public electric-cost rollups price published device wattage multiplied by observed on-time at the published electric rate; they do not subtract rooftop solar or Powerwall offset.
Cost Structure
The greenhouse has three utility streams:
- electricity for fans, fog, grow lights, controller hardware, and pumps
- natural gas for the Lennox furnace
- water for misting, irrigation, hydroponics, and humidity control
Cost-aware control balances three things at once:
- plant stress
- operating cost
- timing relative to solar production
That belongs in the proof layer because it measures operating behavior instead of relying on sustainability language.
Cost Snapshot
These are operational cost estimates tied to observed greenhouse activity and static public rates, not utility-grade billing statements. Electric prices published equipment watts multiplied by relay on-time at USD 0.111/kWh, gas prices furnace runtime at USD 0.83/therm, and water prices meter totals at USD 0.00484/gal until the public rate model is refreshed. The Shelly meter remains a diagnostic feed because its current coverage is materially lower than the runtime model for heater, light, fan, and fog operation. Solar alignment is reported separately as timing evidence, not as a bill credit.
Cost-Aware Control
The planner does not optimize for cost first. Plant health and safety come first. Cost matters when two strategies are close in expected plant outcome.
Those choices still happen through the bounded parameter list in AI Tunables Traceability. Cost-aware planning questions include:
- when is electric heat acceptable because the dip is mild or overlaps a solar-rich window?
- when is gas the better heat source because its BTU economics are overwhelming?
- when is fog worth the electrical draw because it avoids hours of VPD stress?
- when should grow lights run now, and when should they wait because natural light is arriving shortly?
The useful economics story is how control changes the meaning of those costs.
Solar-Aligned Resource Timing
The panels below keep the solar-alignment story split by resource. Electricity can overlap solar-rich periods directly; gas and water do not become solar-powered, but showing their timing against solar pressure explains when the greenhouse was heating, misting, irrigating, or shedding heat during bright windows.
Daily Cost By Source
This is the canonical public cost graph for the greenhouse: runtime-modeled electric, gas, and water cost by day using the same rate assumptions as the stat cards above. Duplicate daily-cost variants are intentionally left off this page so readers do not have to reconcile competing definitions.
Monthly Resource Cost By Source
This six-month stacked bar chart shows current month-to-date plus the previous five months. Each bar is total greenhouse utility cost for that month, split into electric, gas, and water dollars using the same public rate assumptions as the daily graph.
Runtime Hours By Equipment
Runtime hours stay visible because they explain which physical systems did the work behind the cost graph. Use this beside climate and Operations: heat should line up with cold pressure, fans/vent with heat rejection, and fog/misters with VPD pressure.
AI Compute Power
The greenhouse cost charts above are for greenhouse utilities only. The AI planning and evidence stack also uses GPU compute, so this page keeps a simple power trace for that separate layer without turning Architecture into a fleet inventory.
Page Boundaries
Live controller state, device runtime, flow transitions, alerts, and diagnostics belong there.
The GPU trace above is separate from the greenhouse gas, electric, and water cost totals.
DLI, qualified light minutes, and circuit behavior stay with the lighting reference.
Use this page as operational proof, not invoice reconciliation. It owns resource timing, public rate assumptions, daily cost, seasonal cost shape, AI compute watts, and solar-alignment percentages.