Dynamic Electricity Tariffs and Home Batteries: When Does Smart Charging Make Sense?

What is a dynamic electricity tariff?

With a dynamic electricity contract, the electricity price changes over time instead of staying at one fixed rate for a long contract period. Consumers therefore see stronger incentives to shift flexible electricity use into cheaper hours and reduce consumption in expensive hours.

For a home with solar panels and a battery, this creates more possible operating strategies than simple “charge from solar, discharge at night.”

Strategy 1: Solar self-consumption first

The simplest strategy is to charge the battery when solar production exceeds household demand and use that stored energy later.

This can reduce grid imports and increase the share of solar electricity used inside the home.

Strategy 2: Charge when grid electricity is cheap

Depending on the product configuration and contract, a battery may also be charged from the grid during relatively inexpensive hours and used later.

Whether that is financially sensible depends on the price difference after taxes, fees and battery losses.

A one-cent price difference is not automatically an arbitrage opportunity. Battery cycling has efficiency losses and long-term battery wear must also be considered.

Strategy 3: Keep capacity free for expected solar

A smarter controller may avoid filling the battery too early if strong solar production is expected later.

For example, if overnight prices are low but the next day will be extremely sunny, fully charging from the grid overnight could leave little space for midday solar surplus.

Forecast-aware control can therefore be more useful than reacting only to the current electricity price.

Strategy 4: Combine price, weather and household demand

A smarter approach is to combine multiple energy factors

• expected PV production;
• expected household consumption;
• current battery state of charge;
• electricity price schedule;
• user priorities such as backup reserve.

These variables can be used to create a charging and discharging plan.

Sigen AI combines multiple energy inputs to optimize household energy management:
Electricity tariffs: Local electricity tariff information helps the system adapt energy usage strategies to different pricing conditions.
Weather information: Weather data can be considered as part of intelligent energy management.
Household electricity usage habits: Historical energy consumption patterns help customize energy usage strategies.
Solar generation and household demand: The system prioritizes solar energy for household loads, stores surplus energy in the battery, and exports remaining energy when applicable.
Battery status: The battery charging and discharging strategy adapts according to the current battery condition and household energy needs.

The automated decision-making associated with predictive input is as follows:

1. Use solar energy first
   During periods of solar production:
   Priority: supply household loads, then charge the battery, then export any remaining surplus where permitted.
   Solar power is first used to supply household loads. Surplus energy can then be stored in the battery, with remaining electricity exported to the grid.
2. Store surplus solar energy for later
   When solar production exceeds current household demand, the battery can store excess energy for use later.
   This helps households increase their self-consumption and reduce dependence on grid electricity.
3. Use stored energy when solar production is unavailable
   When solar generation is low or household demand increases, stored battery energy can supply household loads.
   This helps shift solar energy from daytime production to evening consumption.
4. Adapt energy usage to electricity price differences
   With compatible tariff settings, users can configure charging and discharging periods according to electricity price differences.
   This can help households use lower-price periods; actual savings depend on total tariffs, losses, battery wear and household demand.

When does dynamic charging make the most sense?

It tends to be more relevant when:

• electricity prices vary meaningfully across the day;
• the household has a battery with available capacity;
• the system can respond automatically;
• the user has substantial flexible demand or solar surplus.

It may be less important for a household with very low electricity use, little price variation or a battery that is already fully occupied shifting solar energy every day.

Avoid “free electricity” claims

Dynamic tariffs can occasionally create very low or negative wholesale-linked prices, but the consumer's total bill includes more than the underlying market price.

Taxes, supplier fees and contract terms matter.

The right message is therefore “optimize when electricity is used or stored,” not “get free power.”

Why this matters in the Netherlands

With net metering ending in 2027, the timing of solar production and electricity use becomes more important. Dynamic tariffs add another timing signal on top of solar generation.

That makes automated energy management a more central part of the home energy system.

Illustrative concept, not a screenshot of the mySigen app or a measured operating schedule. Curves, prices and settings are examples only and do not guarantee savings.

Further reading

• Understanding feed-in fees
• Choosing home battery capacity
• SigenMate 2700 Ultra

Sources

• Rijksoverheid: net metering ends in 2027
• SigenMate specifications and operating modes