An 11.6 MWp solar PV project paired with a 20 MWh BESS at Solarpark Pfaffenklinge in Germany, by Sigenergy, uses decentralized SigenStack batteries, native DC coupling, and AI-powered energy management to optimize solar generation and storage. The solution also supports faster deployment, improved energy efficiency, grid constraint management, and enhanced safety.
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Sigenergy, a global energy technology company, explained how AI-driven energy management and advanced C&I storage support utility-scale renewable energy. At Sigenergy Day Europe 2026 in Stuttgart, the company highlighted the 11.6 MWp Solarpark Pfaffenklinge in Weissach im Tal, Germany, pairs solar PV with a 20 MWh BESS. The project was developed with PV specialist Arausol GmbH and European distributor Memodo.
The installation uses 1,660 Sigenergy battery modules, each with a 12 kWh capacity, along with 80 hybrid inverters providing a combined 8 MW AC capacity. Two medium-voltage transformer stations with pre-installed low-voltage connections are also part of the system.
Rather than relying on conventional centralized BESS containers, the project places modular SigenStack units beneath the PV panels on Arausol’s ground-mounted racking system. This decentralized configuration reduces on-site cabling, eliminates the need for cranes during battery placement, and lowers civil construction requirements. It also avoids extensive concrete foundations, helping reduce soil sealing.
The construction of the modular design was completed in 20 days, while grid commissioning took two hours. The back-of-string and side-of-string mounting options allow developers to adapt storage capacity to individual site requirements. It reduced capital expenditure and project complexity, supporting safety through multiple hardware and software protection layers.
Each 12 kWh battery module includes pack-level isolation, thermal monitoring, and internal fire suppression. Smoke sensors, decompression valves, aerogel heat isolation, and high-temperature insulation further help limit thermal propagation. Super AFCI arc-fault protection extends up to 600 meters across the project.
The system also integrates SigenAgent, Sigenergy’s AI-powered energy management platform. It evaluates weather conditions, grid status, and electricity prices to optimize energy flows, using a continuous Perception–Reasoning–Action process. Surplus solar power can be stored at the time of negative pricing, instead of being exported, while the battery can be discharged beforehand to create space for incoming PV generation.
Native DC coupling sends solar power directly to the battery, avoiding repeated conversion stages. Sigenergy estimates that this design can provide 3.7% higher power conversion efficiency than comparable AC-coupled systems while reducing additional inverter and transformer requirements.
With an 8.8 MVA grid connection limit, the system can store generation above the grid capacity on the DC bus and release it when grid capacity and market conditions are favorable. The project marks Sigenergy’s move into utility-scale storage, combining modular hardware, AI optimization, and safety features to address Europe’s evolving renewable energy and grid challenges.