As the energy transition accelerates, battery storage assets are playing an increasingly critical role in balancing intermittent renewables, supporting system flexibility, and unlocking new trading opportunities. However, with evolving market structures, volatility in price signals, and growing competition, asset owners and operators must navigate a complex commercial landscape to optimise returns.
Maximising the full potential of large-scale battery storage requires far more than just a sophisticated trading approach. It demands a robust understanding of battery chemistry and degradation, accurate performance forecasting, and the ability to operationalise vast datasets in real time.
In this on demand webinar, GridBeyond’s experts will delve into the current revenue streams available to front-of-the-meter (FTM) battery storage assets in Great Britain (GB) and Ireland. They will explore how batteries are now being deployed to deliver value across wholesale markets, frequency response, capacity, and balancing services and what new revenue opportunities are emerging.
The webinar will show viewers inside the current revenue stack available to large-scale battery storage assets, unpack how batteries generate value, explore where the next commercial opportunities lie, and show how advanced analytics and AI-powered tools are transforming battery performance, optimisation, and longevity.
This webinar will also discuss:
Key regulatory and market reforms shaping the future commercial models for FTM battery storage, including implications for merchant and contracted revenue strategies
Strategies to enhance round-trip efficiency, extend battery life, and ensure assets are consistently available during high-value revenue windows
How real-world asset constraints—such as thermal limits, degradation, and state-of-charge restrictions, impact the ability to capture theoretical revenues
The role of advanced analytics, machine learning, and real-time automation in improving dispatch accuracy, asset availability, and portfolio-wide scheduling
