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inGenious Link Automated management of solar power and battery energy storage

Unified optimisation of energy demand, generation, and storage increases the efficiency of all elements and ensures a faster return on investment.

Automated management of solar power and battery energy storage

Challenge

Postline1

While energy consumption in industrial environments is generally predictable, there may be time intervals with sudden and intense peaks that exceed the agreed power. If the contracted power is automatically determined by the distribution system operator, these peaks often result in additional costs for contracted but unused capacity.

Solution

Postline2

inGenious Link system uses historical consumption data collected at standard 15-minute intervals to analyse consumption patterns and predict critical peaks. Based on these forecasts, the system activates the discharge of the battery storage system during expected peaks, thereby reducing net consumption. This allows the agreed capacity to be halved in some cases, as it is dynamically adjusted for each time-of-use period according to actual needs without contracting unnecesary capacity.

 

Impact

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By effectively reducing critical power peaks, the contracted power can be reduced, which directly leads to lower network charges, as the contracted power is agreed upon in advance. inGenious Link provides the flexibility and confidence to adjust it periodically and allows for the cost optimisation of charges for contracted and excess capacity charges.

Challenge

Postline1

Solar power is generated based on weather conditions, not the demand of the user. Excess energy that is not used is thus fed into the grid at low prices, which means that the financial potential of free locally produced energy remains untapped. It could instead replace the purchase of much more expensive energy from the grid.

Solution

Postline2

inGenious Link monitors solar power generation and the location’s consumption via a connection to the solar inverter and metering point. Based on local weather conditions and solar radiation, together with historical consumption data, it accurately predicts energy generation and consumption profiles. Excess energy is stored in a battery storage system instead of being exported to the grid, later replacing more expensive energy to fulfil user demand.

Impact

Postline3

This approach maximises the use of locally generated, low-cost energy, reducing dependence on expensive energy from the grid. The result is a lower total cost of energy and improved profitability of existing solar systems.

Challenge

Postline1

Electricity prices vary significantly during the day, as morning prices can exceed night prices by 200 % or more. Without a proper energy management system, it is not possible to take advantage of favourable prices during low periods while remaining protected from more expensive periods, which means that opportunities for savings and additional income are lost.

Solution

Postline2

inGenious Link calculates the real price of energy based on local network charges, price of already purchased energy, and, if the user is connected to it, day-ahead prices from spot markets such as EPEX and NordPool. Based on this information, the system determines the optimal time to charge the battery storage system when prices are lower and to discharge it when prices increase. This approach makes it possible to efficiently benefit from price differences, as energy is stored when it is cheap and used or sold when it is more expensive.

Impact

Postline3

The result is a lower total cost of electricity, as all price components are used to reduce costs. In addition, when prices are high, surplus energy can be sold back to the grid, generating not only savings but even profits.

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Faster return on investment

Manufacturing companies which already own solar power plants, often generate insufficient or even negative returns depending on market conditions. These returns can be stabilised and increased by integrating an intelligent management system. By optimising network charges and trading on the spot market, it can speed up the ROI by several years.

Contracted power optimisation

inGenious Link automatically sets the optimal limits for power draw in each time-of-use period. It precisely identifies the patterns in energy flow and power peaks, using that data to best operate the battery over time. This prolongs its lifespan by reducing charging cycles and ensures a price-focused optimum between battery cost and network charges.

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Full support and complete autonomy

inGenious Link was created based on decades of experience in industrial process control, making it a user-first system which puts energy back under their control. By working only with verified global suppliers of solar and battery systems, support and maintenance is always within reach.


Maximum self-sufficiency
from solar power

inGenious Link acts as a central coordination system between the solar power plant, the battery storage and the metering point. Through the connection to the metering point, it monitors the consumption and generation of electrical energy in real time. Based on local forecasts (weather conditions and solar radiation values) and historical data, it predicts the amount of energy generated, while analysing the history of power draw to identify time intervals with high net consumption from the grid (i.e. the difference between locally generated and consumed energy).

This approach allows excess energy from the solar power plant to be stored in the battery at the right time and used later, thus improving the efficiency of locally generated, virtually free energy. Storing excess energy for later use significantly reduces the need to purchase expensive energy from the grid, which directly improves the economic efficiency of both new and existing solar power plants.

 

 

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Proactive peak shaving
and compensation

In addition to storing excess energy, inGenious Link ensures that both anticipated and surprise power peaks are prevented at the right time. In systems where contracted power in each time-of-use period is calculated based on intervals with the highest peaks, those are usually predictable – they occur either at the start of production or at startup of individual major loads, or during the cyclical (on-off) operation of support processes.

Unexpected peaks are also mitigated by monitoring high-frequency demand data at the metering point, as the peak is only charged at 15-minute intervals – when the system detects that it is approaching the contracted power, it draws additional power from the battery, thus capping draw from the grid and preventing excess capacity charges.

Since the lifespan of a battery is limited by charging cycles, it makes sense to minimise the number of its activations. The price optimum of contracted power is usually slightly lower than the maximum peak (to avoid leasing and paying for unused capacity), so the battery is not activated during every peak, but only when it meaningfully contributes to reducing the total cost of contracted and excess capacity.

 

Energy arbitrage
for cost reduction

The system collects price data from several sources – regulated network charges determined by the operator, price of already purchased energy, and known day-ahead prices from the spot market (depending on the energy purchase contract with the supplier). This data is systematically aggregated and patterns are analysed, allowing for an accurate comparison of the costs of consuming energy from the grid and the costs of using the stored energy. The expected consumption profile and anticipated price fluctuations are also included in the analysis, which calculates the optimal limits for charging and discharging the battery.

Based on this detailed analysis, the operating profile of the battery is determined. The system activates battery charging during cheaper periods when energy prices are lowered by either low demand or high solar generation on the grid. Conversely, during periods when prices rise, the system responds with precise discharge, reducing dependence on expensive energy from the grid. In addition, excess energy, if it makes sense to do so, can be sold back to the grid, which is taken into account in the optimization of each charge and discharge cycle.

 

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Key Components

inGenious Core

The algorithm for energy generation and consumption scheduling, used by inGenious Link, is the product of many years of knowledge and experience in industrial energy and process control. It is based on a modular and upgradeable architecture also used by inGenious Flex for demand response, inGenious Peak for peak shaving, and inGenious Grid for energy distribution.

Solar power plant

We work together with local specialists in solar power plants to determine the precise size of the solar power plant that is best suited to the location, orientation, and needs of each individual user. The system can also be integrated with any existing solar power plant from any manufacturer. We can advise on potential expansion or other adaptation for the best possible financial outcome.

Battery storage system

inGenious Link uses battery energy storage systems (BESS) from a proven supplier with modular capacities and power, which means that the chosen combination always meets the user’s needs. We typically use energy storage units with LFP cells, which are considered the most thermally stable and long-lasting among lithium-ion batteries, making them the most suitable for industrial use.

EV chargers (optional)

Electric vehicle charging stations can play an important role in balancing energy generation and consumption, since they represent a load that is almost completely time-independent. This means that charging an EV can be paused temporarily for the purposes of price optimisation. inGenious Link can be connected to new commercial AC and DC charging stations provided on request or to any existing charging infrastructure.

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