This app shows how much it costs to have PV + Batteries meet most of a household’s energy needs, including cooking which is, by far, a household’s largest energy need. The main output is a graphic representation of the trade-off between cost and the need for load flexibility.
Step 1: click on the map or type in the location
Click the map to set lat/long. Drag to pan, scroll (or +/−) to zoom.
Map tiles © Esri — Esri, HERE, Garmin, FAO, NOAA, USGS, © OpenStreetMap contributors, and the GIS User Community
Step 2: Change the cost and load inputs if you want.
Step 3: Enter the widest range you think might be appropriate to simulate.
Every combination of PV size × battery size in the ranges below is simulated, so you can compare them directly.
PV array size (W)
Battery size (Wh)
Click a dot to highlight the same configuration in the tables below.
Each dot is one PV/battery configuration. Green dots have no other configuration that's both cheaper and lower in unmet kWh; gray dots are dominated by at least one such configuration.
Configs where no other config is both cheaper and lower in unmet kWh, ordered most- to least-reliable. Marginal $/kWh is the extra cost per kWh of unmet energy avoided versus the next-cheaper frontier config; the cheapest config has none. Click a row to highlight the same configuration in the tables below.
Click a row to highlight the same configuration in the charts, calendar, and tables above.