Forsyt BESS Reference — France, Q1 2026
Our quarterly attainable-revenue publication for a 10 MW / 20 MWh reference battery in France.
Read Full Report →A data-driven approach to sizing BESS for existing solar assets in France, exploring the trade-offs between capital intensity and revenue capture.
In the solar market, co-location with Battery Energy Storage Systems (BESS) has become a primary topic of discussion. As captured price pressure increases and negative price events become more frequent, developers and investors are increasingly looking to add storage to their renewable portfolios.
However, while the concept is widely debated, it remains sparsely documented with transparent, data-backed case studies. Investors need to understand not just if it works, but how different configurations impact the investment case.
This study, conducted jointly by Forsyt Energy and Natural Power, provides a concrete answer by analyzing the BESS sizing for an existing 9 MWp PV asset in France.
Natural Power established the technical foundations, while Forsyt Energy modeled the market and valuation layers using ValuationPro, covering:

The study compared multiple BESS configurations. In the central case, the results showed simplified IRRs ranging from 13.7% to 14.6%. Interestingly, the 3-hour duration configuration emerged with the highest IRR, balancing revenue capture with capital intensity.
A critical takeaway is that the revenue stack is not static. Ancillary services provide significant value in the early years, while Intraday arbitrage becomes increasingly important as the market matures and volatility patterns shift. Sizing is therefore the most critical lever in this investment case.
Access the complete joint case study from Forsyt Energy and Natural Power, including detailed technical assumptions, revenue breakdowns, and IRR sensitivity analysis.
Download Full Study (PDF)Our quarterly attainable-revenue publication for a 10 MW / 20 MWh reference battery in France.
Read Full Report →Why Day-Ahead prices at -500 €/MWh signal a market losing room for price discovery.
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