Symbolic image of an old scientist working on complex calculations with a chameleon by his side, representing the science of battery storage revenue modeling in electricity markets.

Over the last year we became increasingly involved with the “science” of modelling past and future revenues of battery energy storage systems (BESS) and now decided to shed some light on this practice. We believe that customers are being sold a lot of voodoo for science and that the incentives in this industry are not at all well aligned.

Next-generation energy provider trawa and Hamburg-based electricity trader FlexPower have entered into a long-term partnership. This collaboration allows businesses of all sizes to source renewable energy easily and cost-effectively

Next-generation energy provider trawa and Hamburg-based electricity trader FlexPower have entered into a long-term partnership. This collaboration allows businesses of all sizes to source renewable energy easily and cost-effectively. Utilizing Artificial Intelligence (AI), trawa develops an optimized power procurement strategy based on historical consumption and current market data, aiming to reduce emissions and costs. As a market partner, FlexPower provides the necessary market access through its own electricity trading and a platform for Power Purchase Agreements (PPA) with renewable energy facilities to implement the optimized power procurement.

The German power market debates system-supportive balancing group management. A new study by Prof. Dr. Lion Hirth (NEON Neue Energieökonomik) provides fresh insights.

The question of proactive balancing group management to support the electricity system has been a hotly debated topic in German electricity trading for years. Should balancing responsible parties – as in many other European countries – also be allowed to support the system in Germany through deliberate imbalances in their portfolios or not? FlexPower discusses the results of a new study on this topic with the author, Prof. Dr. Lion Hirth from NEON Neue Energieökonomik.

Battery storage units on grassland with wind turbines and city skyline in sunlight, symbolizing sustainable energy supply

We are often asked how the financial optimization (or: arbitrage) of a battery across the different market places of the spot market works. We show this x-market optimization here by way of example focusing on the day-ahead spot market (hourly auction at 12 noon), intraday quarter-hourly auction (at 3 p.m.) and the so-called intraday continuous market (quarter-hourly products up to five minutes before delivery).