IN Brief:
- Fraunhofer IWU has presented the ESiP Analyzer for energy storage planning in manufacturing environments.
- The tool assesses peak-load reduction, storage sizing, amortisation, renewable self-consumption, and operating strategies.
- Industrial storage is becoming part of wider factory energy management, rather than only backup or standalone battery specification.
Fraunhofer IWU has presented its ESiP Analyzer as a tool for planning energy storage in factories, supporting renewable self-consumption, peak-load reduction, and more stable interaction between production sites and the grid.
The Energy Storage Systems in Production Analyzer is designed primarily for manufacturing companies. It evaluates storage use cases from machine level to factory level, covering batteries, supercapacitors, regenerative braking, and other storage-related options that can be integrated into industrial energy management.
The tool calculates storage size, peak-load reduction, and amortisation while incorporating operating factors such as system efficiency and production-specific parameters. Simulations can therefore reflect how a factory actually consumes, recovers, and shifts energy during operation, rather than relying only on generic assumptions.
Fraunhofer IWU says the system has already been applied with utilities and industrial companies. In selected scenarios, simulations and optimised operating strategies can enable close to half of on-site generated electricity to be used within the factory. Smoother consumption profiles can also support grid stability by reducing sharp demand peaks and uncontrolled import or export swings.
Industrial electrical design is changing as factories add on-site generation, batteries, EV charging, electrified heat, regenerative drives, and market-facing flexibility. Incoming supply, distribution boards, motor loads, compressed air, and backup generation remain central, but they now sit inside a more active and data-led energy system.
That shift was visible across recent industrial power discussions at Hannover Messe, where storage, power electronics, DC architectures, EV charging, digital twins, and controllability were placed closer to factory resilience and productivity. The direction is towards energy systems that can be measured, simulated, adjusted, and optimised against production requirements.
Battery procurement alone does not solve that task. A storage system that is too small may fail to reduce peak demand or absorb enough on-site generation. A system that is too large can leave capital tied up in unused capacity. A battery operated against unsuitable control logic may chase tariff savings while missing larger value in peak reduction, self-consumption, resilience, or production continuity.
The ESiP Analyzer addresses that gap through simulation before investment decisions are made. It can work with incomplete planning information by scaling and supplementing missing load-profile or generation data, a useful function for industrial sites that do not have perfect metering at every process, machine, feeder, or generation point.
Peak-load reduction is one of the most direct applications. Industrial demand charges and connection constraints can make short peaks disproportionately expensive. A storage asset controlled against site load can discharge during high-demand periods, limiting maximum import requirement and reducing stress on the connection. In some cases, that can defer reinforcement or support expansion where grid capacity is limited.
Renewable self-consumption adds a second use case. Many factories have rooftop or ground-mounted solar potential, but production schedules do not always align with generation. Storage allows more on-site generation to be consumed locally, reducing exports at low-value times and lowering imports when generation falls. The result depends on shift patterns, weekend operation, seasonal output, and process flexibility.
Regenerative braking and machine-level recovery add more technical depth. Some industrial processes already produce recoverable electrical energy, but its value depends on whether that energy can be captured, stored, or reused effectively. Supercapacitors, batteries, and other storage technologies can be assessed against short, repeated energy cycles where conventional battery-only models may not be optimal.
Combined applications make storage planning more demanding. A factory battery may provide peak shaving, renewable self-consumption, emergency power, and participation in energy markets, although those functions can compete with each other. Control strategies need to prioritise operation according to production risk, contract terms, tariff exposure, and the site’s tolerance for disruption.
Storage integration affects switchgear, protection, inverters, transformers, fire safety, ventilation, space planning, metering, energy management software, and grid connection arrangements. A system sized through broad assumptions can underperform once exposed to real production behaviour.
Fraunhofer IWU’s tool points to a more disciplined approach to industrial storage. As factories electrify and add local generation, storage value will increasingly depend on how precisely assets are matched to site operation. Hardware remains essential, but the investment case is being built through load profiles, simulations, control logic, and the ability to turn a variable factory load into a more manageable electrical system.
