2-Hour BESS Segment Performance (1 cycle/day)
2025 Performance Data for Germany
Germany
A 2-hour virtual BESS using PortfolioEnergy's commercial platform achieved approximately 110 k€/MW/a (301 €/MW/cycle) at 1 cycle per day.
1The PortfolioEnergy virtual BESS used approximately 1 cycle per day at a round-trip efficiency of 90%. Computed using a backtest with optimisation using Montel forecasts and EPEX order book data. Auctions cleared with settled prices. Intraday continuous trading was simulated by introducing a multi-second delay (order book time) between accessing the order book and matching orders. Iceberg orders and user-defined blocks were not considered.
2LF Energy RTC-Tools, day-ahead price taking. Open-source implementation. Results for a 2-hour battery with 1 cycle per day.
To obtain a backtest with the specifics of a particular asset with the PortfolioEnergy optimiser, please contact us at info@portfolioenergy.com.
A note on transparency
Germany has no public BESS performance benchmarks. Australia's NEM is the opposite: the system operator (AEMO) publishes dispatch data for every utility-scale BESS at 5-minute granularity, allowing like-for-like comparison on every dispatch decision. See our 2025 Australian results and NEM comparison dashboard.
That transparency provides an order-of-magnitude cross-check on our European numbers. The best-performing 2-hour assets in New South Wales and Victoria — whose revenue is publicly verifiable — earned roughly 190 kA$/MW/a and 134 kA$/MW/a. At the 2025 average rate of ±0.58 EUR/AUD the top New South Wales asset converts to ±110 k€/MW/a, closely matching our German result. Our own Australian backtests (217 kA$ in New South Wales, 153 kA$ in Victoria) convert to ±126 k€ and ±89 k€ — suggesting that our German figures are consistent with verifiable Australian outcomes.
A note on asset-backed trading
Our benchmark results reflect pure asset-backed trades only — every position is physically backed by the battery's state of charge and operational constraints. No speculative proprietary trading is mixed into these figures. This means the revenues shown are achievable by the asset alone, without taking on unhedged market risk.
Why PortfolioEnergy Delivers Leading Performance
PortfolioEnergy's optimisation platform combines advanced mathematical optimisation with real-time market intelligence and robust risk management. Our approach delivers strong performance in both day-ahead and intraday markets.
Real-Time Adaptation
Continuously adapts to changing market conditions, price forecasts, and plant constraints to maximise revenue while managing risk.
Advanced Optimisation
Leverages probabilistic forecasting, nonlinear physical modelling, and market impact analysis for superior decision-making.
Risk Management
Proactive identification and mitigation of operational and market risks to prevent costly events that can significantly impact annual performance.
Multi-Market Trading
Intelligent co-optimisation across day-ahead and intraday markets to maximise total revenue from price volatility.
Interested in learning more about how PortfolioEnergy can optimise your BESS assets? Contact us at info@portfolioenergy.com to discuss your requirements.