Why no BESS project should run without advanced analytics
Mayur Andulkar
6 min read
Battery energy storage systems (BESS) have become a critical component of today’s power systems — not just to support renewable integration, but to unlock entirely new revenue opportunities. Yet in an increasingly volatile and competitive energy landscape, optimising the profitability of BESS requires more than just smart siting and sizing. It demands precision forecasting, real-time optimisation, and an integrated, multi-market strategy.
As market dynamics shift, regulation evolves, and renewable penetration increases, developers and operators face a growing challenge: How do you forecast revenues accurately and then capture them effectively in real time?
At Re-Twin Energy, we believe that no BESS project should be run without a robust analytics layer underpinning every investment decision, operational move, and strategic adjustment. The days of static planning and manual trading are over. To stay profitable, storage must be managed as a data-driven, continuously optimised financial asset.
Energy storage investment decisions are increasingly made in uncertain terrain with variable electricity prices, regulatory fragmentation, and rapidly changing system needs. This makes accurate forecasting both a strategic advantage and a bankability requirement.
Three major drivers of revenue volatility underscore the need for forecasting:
Renewable Fluctuations – Wind and solar output is intermittent by nature. The more they dominate the energy mix, the more volatile power prices become — both in the day-ahead and intraday markets.
Demand Shocks – Extreme weather events, seasonal shifts, and structural changes (like heat pump or EV adoption) lead to unpredictable load curves.
Regulatory Shifts – Capacity mechanisms are expanding across Europe, but timelines vary. For instance, Germany’s mechanism isn’t expected until 2028, while France and Belgium already offer BESS operators monthly revenue streams from capacity markets.
Forecasting models must capture this complexity from short-term price signals to long-term structural trends and feed them into revenue simulations that are reliable enough to support financing.
To assess whether a BESS project is financially viable, multiple approaches are available. Each comes with trade-offs:
Bankable Forecasts: Long-term models used in project finance, updated quarterly or biannually. They’re useful for debt providers but can’t capture short-term volatility or sudden regulatory changes.
Backtesting: Uses historical market data to simulate past BESS performance. Effective for validating trading strategies — but must include low-revenue periods to avoid unrealistic optimism.
Battery Indices: Serve as benchmarks to compare your project’s expected performance with peers. These indices can verify optimiser claims and track market evolution.
Portfolio Performance: The gold standard. Real, audited revenue data from operational systems offers the highest confidence for investors. It aligns revenue assumptions with real-world outcomes.
No single method is perfect. A comprehensive BESS revenue assessment typically combines all four.
At Re-Twin, we deliver forecasting models that account for both short-term price signals and long-term structural trends. Our digital twin technology allows users to simulate future revenue streams under multiple scenarios—stress-tested against volatility, market design changes, and weather extremes. This level of insight builds confidence, not just for project developers and operators, but also for investors and lenders.
aFRR (Automatic Frequency Restoration Reserve): Mid-term rebalancing, activated ~25 minutes before delivery.
Each market has its own dynamics, timelines, and technical requirements. For example, FCR bids might reserve 80% of a BESS’s capacity, while the remaining 20% can still be traded in wholesale markets — if operators are equipped to manage the split dynamically.
This revenue stacking requires strategic orchestration. Overcommitting to one market could mean missed opportunities elsewhere. Prioritising arbitrage may limit grid services. The optimal mix depends on:
The complexity of managing this market interplay is beyond manual control. That’s why the industry is moving toward AI-powered auto-trading systems capable of:
Aggregating and analysing live weather, market, and grid data
Predicting system imbalances and bidding windows
Reallocating battery capacity minute-by-minute between FCR, aFRR, and arbitrage
Managing technical constraints like state-of-charge (SoC), degradation, and availability
Such systems need to continuously evaluate opportunity costs and market conditions. For examle, if an FCR bid is rejected, the BESS capacity is reallocated to intraday markets and aFRR bids are updated until just before delivery, using forecast accuracy as an input. Results from backtested two-hour systems show that this adaptive dispatching improves both revenue consistency and risk management.
This kind of multi-layered optimisation is becoming standard in mature BESS operations and increasingly expected by financiers.
Re-Twin’s platform enables this kind of dynamic decision-making. By continuously analysing prices, forecasts, and system constraints, we support operators in allocating battery capacity where it creates the most value. Our models account for technical limitations like state-of-charge and degradation, as well as market-specific rules and timelines. This ensures not only higher revenues, but also greater resilience in changing conditions.
Maximising BESS profitability in today’s environment requires a dual lens: a forward-looking one (forecasts and scenarios), and a reactive one (real-time data and flexible algorithms). Projects that can bridge both will outlast price shocks, outperform competitors, and stay bankable in any market condition.
With the energy transition accelerating, and the role of flexible assets expanding, the winners will be those who treat energy storage not just as hardware — but as a real-time, data-driven financial asset.
As energy markets continue to evolve, the pressure on BESS owners and operators will only grow. Margins will tighten, regulation will shift, and expectations from investors will rise. To navigate this complexity, storage needs more than intuition—it needs intelligence.
At Re-Twin Energy, we provide that intelligence. With AI-powered digital twins, market-optimised forecasting, and real-time performance modelling, we help our partners stay ahead—profitably, sustainably, and at scale.
To learn how Re-Twin can support your next storage project, visit re-twin.energy or get in touch for a personal demo.
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