Consumption planning

Under Settings → Project Settings → Consumption Planning, you can inform the EMS about periods when your expected energy consumption will differ from the automatically predicted value. When the EMS knows in advance that consumption will be higher than usual, it can adjust the battery planning accordingly, for example by building up a larger energy buffer during cheap periods, so that more of the stored energy is available when it is actually needed and less needs to be purchased at higher prices.

kW vs kWh: Values in this screen are entered in kW, which is a measure of power, the rate at which energy is used at any given moment. This is different from kWh, which measures the total energy consumed over a period of time.

Example: A process that runs at 50 kW for 2 hours consumes 100 kWh of energy. In this screen, you enter 50 kW (the power demand during that period) and not the total energy figure.

How to fill in the consumption planning

Add one entry per planned period. For each entry, specify:

Field	Description
Day	The date of the planned high consumption event
Start time	The beginning of the period
End time	The end of the period
Expected extra power (kW)	The average additional power demand during this period, above the normal forecast

Example: A production run that draws an extra 50 kW on a specific afternoon. Add an entry for that date, from 13:00 to 17:00, with a value of 50 kW. The EMS will treat that block as 50 kW higher than its standard forecast and plan accordingly.

How consumption planning works

During the planned period, the EMS replaces its standard consumption forecast with the values you have entered. The battery and other controllable components are prepared in advance to meet the higher demand, reducing the risk of exceeding the import limit or drawing unnecessary power from the grid at an unfavourable price.

How to delete a consumption planning entry

To remove an entry, delete the corresponding row on the consumption planning screen and save. The EMS will revert to its standard consumption forecast for that time period.