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inGenious Flex Industrial demand response energy management system

Control energy better than ever with an automated flexibility management system which extracts every potential from existing resources and offsets the rising costs of energy.

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Industrial demand response energy management system



A multi-rate tariff system significantly complicates cost calculations and energy management for a larger and less agile manufacturing company, threatening to skyrocket the power bill through higher network charges.



After a thorough flexibility assessment, inGenious Flex is installed and connected to key loads and resources. Based on a consumption profile, it helps the customer set limits and KPIs for each tariff period, setting goals to strike an optimal compromise between costs and impact on production. Power draw is adjusted in each period according to the price and available flexibilities, with adjustments being made automatically and in real time based on the needs of the production processes and the forecast.




The cost increases of transitioning to a multi-rate tariff system are not only mitigated, but network charges are even lower than before the switch. The forecasting and limiting of maximum power in each tariff period allow the user to report accurate numbers to their electricity provider, lowering costs in the future as well. Installing inGenious Flex enables an even easier transition to a dynamic-rate system in the future.



Reducing energy costs is necessary but is seemingly bottlenecked by the lack of flexible loads. Production processes are rigid, schedules only intended to optimise manufacturing output, there are no generators or storage on site.



A thorough analysis of production processes and energy flows is made, assisted greatly by a past installation of inGenious View. Flexibility of usually inflexible loads is assessed, the system is upgraded to inGenious Flex, and integrated with particularly promising loads. Flexibilities are extracted gradually, initially through the frontloading of consumption and the use of virtual storage. Any impact on manufacturing is carefully monitored, adding more loads into the system only after assuring little to no impact on production efficiency.



Energy costs are reduced through the activation of hidden potentials in seemingly inflexible loads. The use of virtual storage enables a soft integration of flexibility management into existing manufacturing processes and eases energy planning in the future.



A manufacturing location has a third-party solar power installation with battery-electric storage, but their activity overlaps poorly with actual needs, leading to the ineffective use of the benefit of local generation capabilities.



After accurately profiling both generation and consumption of energy with several scenarios, they are integrated into the flexibility management system. The local generator and storage are used as prosumers in the system, using the storage primarily to even out the gaps between high generation and consumption. With external data integration, the system can account for the weather forecast and more accurately predict future generation ability, compensating with storage and additional adaptations.



Total energy drawn from the grid is reduced, leading to a lower power bill. Using better battery cycle management, the lifetime of the battery and its return on investment are increased. The installation with generation and storage makes the location an ideal candidate for participation in wider, grid-level flexibility systems.

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Energy cost

Smart management of loads, automatically executed according to the schedule and user preferences. Savings are generated not only in network charges and energy costs, but also by reducing the network load and consequently maintenance costs

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An intelligent information system which allows for the monitoring of any energy sources, flows, and loads using a modern user interface. Leverage hidden insight to better manage energy using custom KPIs and smart alarms.

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Bespoke turnkey

System modularity allows us to solve multiple challenges inside one solution. The solution can be fully adapted to the needs of a particular situation with additional functionalities. We offer consulting, training, and maintenance during and after implementation.

Demand response
in an industrial environment

Unlike demand response in the grid, where the priority is balancing the distribution network, the goal of demand response in industry depends on the company’s priorities. It often addresses issues of uneven consumption, poorly utilized production resources, and the associated high electricity costs.
Since everything occurs behind the billing meter, industrial implementation of demand response is entirely independent of the distribution or transmission network operator. The system can operate independently in a local installation, and at the customer’s request, it can be connected to external systems such as energy markets, weather forecasts, or any other data sources.

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flexibility management

Managing a microgrid at the factory level, where each load, source, and storage unit acts as an individual active consumer, offers all the benefits of a smart grid regardless of the business environment.

Each connected device with an included flexibility module, and devices already equipped with a communication interface (such as inGenious Cube), automatically generates flexibility offers. Based on user constraints, the module indicates the time periods during which the device can adjust, the amount of energy it can offer in each interval, and, if required and enabled, the cost of energy for that active consumer.

The central demand scheduling module actively collects flexibility data from each active consumer. Based on accessible data from active consumers, internal data (user constraints, price signals, consumption profile forecasts), and external data (weather, market energy prices, grid system service data, etc.), it automatically calculates the optimal scenario for savings and sends the execution schedule to the active consumers.

financial impacts

Multi-tariff network systems are too complex for manual management, but inGenious Flex, with its financial parameters system ready for dynamic tariffs, handles them automatically. Users can immediately see the financial impacts through a customizable dashboard, automatically generate reports, and set alarms for both energy and financial efficiency.

With the ability to set energy and power prices both at the system level and for each active consumer (prosumer) individually, inGenious Flex can smartly allocate consumption to approach the optimal price point. This includes fixed prices set by the energy supplier, consumption prices from self-generated sources like solar panels or water storage, the cost of using a battery cycle, and any other price signals required by specific situations.

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Key Functionalities

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Profile analysis
and prediction

Gathering and historizing data from all connected sources, the system creates a complete consumption profile at both global and prosumer levels. Using it to create several forecasts, this profile can dynamically adapt the power draw of each prosumer to best pursue both energy management and production efficiency goals.
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Seamless integration
and upgrade

inGenious Flex can be installed over an existing inGenious View or inGenious Peak system at the factory level, while connecting any machines equipped with inGenious Cube using existing infrastructure. Requiring no significant infrastructural investment to begin operating, it can integrate into any environment and can be installed in the cloud with minimal effort and maximum benefit.
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Scalability and
system nesting

Thanks in part to the award-winning FlexOffer protocol, which contains machine-generated flexibilities for each prosumer, the system works for a practically unlimited number of prosumers. To get more benefit at scale, inGenious Flex can nest into itself for a multi-level set of subsystems, where each group is considered a prosumer in the higher-level system.
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Control without
manual operation

While the system calculates and executes its best schedule on its own, control is never entirely out of human hands. At any point, a user can connect to any node in the system locally or remotely and manually override a computer decision. That is then taken into account by the algorithm, which adapts other prosumers to reflect a change in the environment.

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