Functional Overview of the Energy Maximizer and Configured Dynamic Electricity Tariff on a Winter Day (example)


17049000972

Visualization of the energy balance on a winter day with Energy Maximizer activated and dynamic electricity tariff configured in Sunny Portal powered by ennexOS (Monitoring > Energy balance).

This energy balance shows a typical winter day with a very low PV generation level of just 0.87 kWh and a total consumption level of 23.40 kWh. The Energy Maximizer controlled the battery storage system primarily to ensure grid-price optimization that day.

17057941004

Electricity prices in Belgium on January 1, 2026, as displayed on the ENTSO-E Transparency Platform (https://transparency.entsoe.eu/).

During periods of low electricity prices, in particularly at night and during short-term downward price fluctuations (e.g. in 15-minute intervals), the battery storage system was charged specifically with power from the utility grid (10.03 kWh). Based on forecasts, the Energy Maximizer can also reserve free battery capacity to ensure the optimum utilization of additional favorable price periods. In the same periods, loads can be supplied temporarily straight from the utility grid instead of being supplied via battery discharge. This represents a significant difference to classic increased self-consumption and also takes into account the efficiency losses of the battery. As a part of this, discharging is only performed if it will result in a significant price advantage. During the day, as well as in the afternoon and evening hours when consumption increases and electricity prices are higher, the Energy Maximizer provided stored energy (8.33 kWh) to reduce the level of grid-supplied power.

The low amount of available PV energy was almost entirely used directly by the company (self-consumption quota 99%). Practically no power – just 0.03 kWh – was fed into the utility grid. A total of 8.79 kWh of the daily consumption was able to be covered internally through PV generation and the battery storage system.

This example shows that even with minimal solar generation, the Energy Maximizer enables cost-optimized and predictive system operation through price-dependent charging and demand-based discharging of the battery storage system.