SolarShieldTry the demo
Climate-tech · simulation & forecasting

Find hidden demand-charge savings before touching hardware.

SolarShield Savings Lab helps solar and battery installers and industrial energy managers estimate how much money a site could save by reducing peak demand charges with smarter battery dispatch — all in simulation, with no risk to live equipment.

30–70%

of an industrial bill can be demand charges

$8–25

per kW-month typical demand rate

< 5 min

from CSV to a savings estimate

0

real hardware commands issued

The problem

You don't pay only for energy. You pay for your worst 15 minutes.

Utilities bill large sites a demand charge based on the single highest spike of grid import in a month — sometimes a brief cloud passing over the solar array while machines run flat out. A battery can shave that spike, but sizing the opportunity usually means guesswork, spreadsheets, or expensive pilots.

SolarShield turns historical interval data into a defensible savings number, so you can make the business case before quoting hardware.

A single monthly peak

One month of grid importthis spike sets the bill

How it works

From raw interval data to a savings story in three steps.

01

Upload site data

Drop in a CSV of timestamped factory load and solar generation — 15-minute interval data works great. Optional battery columns refine the model.

02

Simulate dispatch

We run a baseline vs. optimized peak-shaving simulation, searching for the lowest grid-import ceiling your battery can actually hold.

03

See the savings

Get avoided peak demand, monthly and annual demand-charge savings, and an investor-ready report — before anyone touches hardware.

Peak-shaving simulator

Idealized battery dispatch that caps grid import at the tightest feasible threshold, respecting capacity, power, and round-trip efficiency.

Demand-charge math

Per-month baseline vs. optimized peaks turned into dollar savings at your utility's $/kW demand rate.

Lightweight forecasting

A small scikit-learn model anticipates short-horizon solar drops, with a rule-based fallback when data is thin.

Shareable reports

A clean executive report with assumptions, results, and a peak-event table — print straight to PDF for customers and investors.

Quantify the savings. Keep your hands off the hardware.

Try it with built-in sample data, or upload a site you're scoping. You'll have a dashboard and a shareable report in minutes.