Overview of the Energy Management Functions


Description

Energy Planner

Energy Maximizer

Sunny Home Manager 2.0

Intelligent energy management

Increased self-consumption

System optimization based on PV generation and loads and the control of batteries and inverters to increase self-consumption.

Optimization of dynamic electricity tariffs

The algorithm determines and calculates the most cost-effective approach based on the tariff data.

  • Charging with power from the grid

The energy management system charges the battery with power from the utility grid at an opportune time to save money.

  • Discharging power into the grid

The battery feeds power into the utility grid, if permitted, to optimize the economic operation of the system.

-

  • Power reduction due to negative electricity tariffs

In the event of negative feed-in tariffs, the flow of electricity at the point of interconnection is regulated to avoid penalty payments.

-

Peak load shaving

Reduction of the maximum power consumption in the utility grid through battery discharge.

  • Time-based limitations

Reduction of the maximum grid-supplied power through battery discharges or load reductions.

-

-

  • Capacity forecast

The system determines how much energy needs to be reserved and adjusts accordingly, increasing the reserve if a high or long peak load is expected.

-

-

  • Limitation of the charging power for electric vehicles (from July, 2026)

Throttles the charging of electric vehicles to reduce grid-supplied power. The power will then be increased automatically.

Intelligent battery control

Optimization of the battery life

Charging to 100% will be kept as short as possible.

-

-

Oversizing on PV side

Takes into account that more PV power (DC) is connected to the hybrid inverter than it can convert on the AC side. The surplus energy generated as a result is put to good use by being used to charge the battery.

-

-

Charging the battery / grid feed-in into the utility grid

Charges the battery with power from the utility grid or feeds energy into the utility grid.

-

Intelligent electric vehicle charging

Fast charging

Charging vehicles with the highest possible charging power.

Charging with surplus PV energy

Only charging the vehicle with surplus PV energy.

Intelligent charging

Charging the vehicle to the desired level before departure, taking into account electricity tariffs, PV generation and loads.

-

electricity rates

Fixed-price tariff

Setting fixed electricity tariffs to accurately track costs.

Time-dependent tariff

Enables basic cost tracking and system optimization based on changing electricity prices.

Manual

Dynamic electricity tariffs

Setting and monitoring dynamic electricity prices and optimizing systems based on the dynamic electricity tariff (also includes the StromWallet Dynamic Pro tariff from LichtBlick in Germany).

-

Evaluations / analysis

Consumption, generation, feed-in revenue etc.

Illustrates how much money has been saved or generated through the use of solar energy and dynamic electricity tariffs.

Load-control

Reduction of PV feed-in power

Reduction of power generation by the grid operator to ensure grid stability and to reduce grid costs. In this process, battery capacity is reserved in favor of increasing generation output during times of expected curtailment.

-

Electricity storage system

Control of the battery system: charging, discharging, setting a specific SOC, SOC calibration, etc.

EV charger

Control of the EV Charger

Manual

-

  • SMA eCharger

The SMA eCharger is fully integrated into the SMA Energy Maximizer and can control the flow of energy.

  • SMA EV Charger Business

-

  • SMA EV Charger (EVCxx-10)

-

-

Control via Modbus

Third-party systems can control SMA systems via Modbus at different control levels.

-

Heat pumps

Integration of heat pumps (e.g. EEBUS, SG Ready)

SG Ready only

Scheduled

Sockets or relays (e.g. Shelly)

Third-party API integration for integrating sockets and relays (potentially smart home applications as well).

-

Scheduled

End user settings in the SMA Energy App

electricity rates

End users can set electricity tariffs via the SMA Energy App.

Energy management targets

The end user can define targets, such as for peak load shaving, the eCharger, sockets and relays

-

Technical requirements (in Germany)

Article 9 Renewable Energy Sources Act (EEG)

The system supports Article 9 with an EEBUS connection.

Article 14a German Energy Act (EnWG)

The system supports Article 14a via digital inputs or with an EEBUS connection.

Settings via

User interface powered by ennexOS

The settings can be made locally via the System Manager user interface integrated into the system.

-

-

Sunny Portal powered by ennexOS

The settings can be made via Sunny Portal.

SMA Energy App

The settings can be made via the SMA Energy App.

-

-