System map
How WhyWatt Turns a Home Energy Consumption into a 20-Year Cost Comparison
You describe a home and a plan. Your ZIP code looks up climate, tariffs, load profiles and sunshine from data built offline. The engine runs two copies of the home, do nothing and your journey, year by year, and compares what each one costs. Click any box for its breakout, or an appliance to see how it is modeled.
Offline pipelines
Five data sources, built once
Climate (TMYx), solar (PVWatts), tariffs (URDB), rate projection (CEC) and load profiles (NREL). Each is harvested by a script, checksum-pinned, and looked up by ZIP at run time.
Appliances
Nine appliances, one question
How much energy each month? Four levels of detail, from fixed usage to climate physics to an hourly energy balance.
Engine
Two homes, one loop
How do nothing and your journey are stepped year by year, and how the hourly energy balance prices solar and batteries.