With request for attention, this is still in intensive development!

If something does not work right away or if you get very unusual results, please try again later.

Introduction

Optimizer by Forcast.Solar focuses on optimizing self-consumption and helps to predict how your own electricity from the PV system can be used optimally.

Based on these recommendations, self-consumption can be controlled, the consumption of expensive grid electricity and electricity costs can be reduced and energy independence can be increased at the same time. In practice, the time of electricity consumption hardly coincides with the time of solar power generation by the PV system.

Self-consumption is defined as the portion of photovoltaic production that is consumed on site. Maximizing it is synonymous with maximizing the positive share of the remaining PV generation that results after deducting uncontrollable electricity consumption.

Surplus, self-generated solar power is sold to the grid operator at a very low price, while expensive grid electricity has to be purchased if the PV system generates no or too little solar power. So why not consume more electricity when the PV system is generating electricity and save electricity at night or in bad weather?

To use the Optimizer, you need at least a "Professional" account.

Some of the data you enter will be stored permanently in your browser's local storage for your next visit.
(If you do not agree to this, you can delete the data now , sets a cookie to prevent future storage.)

You can play around with demo-key, it will work with fixed coordinates: lat. 51.15, lon. 10.45

Data

The optimization is based on your

You can download your data variant and upload it again later.

Location

The demo-key works only with fixed coordinates: lat. 51.15, lon. 10.45

You can search for your location using Nominatim geocoding or enter your coordinates directly.

Planes

You can define up to 3 planes (Professional) resp. 4 planes (Professional Plus) as described in the documentation.

:dec1/:az1/:kwp1[/:dec2/:az2/:kwp2[/:dec3/:az3/:kwp3[/:dec4/:az4/:kwp4]]]
:dec? (declination) 0° (horizontal) .. 90° (vertical)
:az? (azimuth) -180° (north) .. -90° (east) .. 0° (south ) .. 90° (west) .. 180° (north)
:kwp? Installed power in kWp

Optimization data

Please refer to the Optimizer documentation, the parameter descriptions and some examples.

How to use ...

General data

  • Wherever a price can be entered, this must be stated in € net, not gross. (The same applies to all results, they will be also in € net)
  • Times field inputs: HH[:MM] Hour, minute optional, HH[:MM]+1 Hour, minute optional, +1 is explicit next day, +h Offset in hours from now

Loads data

Please refer for the different load types to the docs.

Comment

Not used for calculation but stored in browser and included in variant download.

Optimization data

Please refer to the Optimizer documentation, the parameter descriptions and some examples.

If you want to test JSON generated elsewhere, you can insert it here.

JSON with comments

If you notice any inconsistencies/anomalies in the calculation, please send me an e-mail and always include the following information:

  • What did you expect as a result and what do you think is not as expected, describe as precisely as possible what you found.
  • The full content from "API call" below
  • The JSON from "Full API response" below
  • A screenshot of the result chart

Battery / Wallbox: Watts < 0 = charge / Watts > 0 = discharge
Other loads: Watts < 0 = activated
Balance: Watts < 0 = feed in / Watts > 0 = purchase

Scroll your mouse wheel to zoom the chart


How to interpret ...


    Battery/Wallbox: Charge, Other: On/Active
    Battery/Wallbox: Discharge
    Off/Inactive
Move your mouse over the boxes to see the time stamps.
  • Starting with forecast and consumption(s), the development of the energy balance is calculated.
  • The optimizations during the best variant were run through in the order shown and the value after each step is the kWh balance.
  • After the last step, positive values represent an energy surplus (Feed-in), negative values an energy deficit (Electricity purchase).


        

        

        
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