In the new publication in Cell Reports Physical Science present the researchers at the Institute for Electrical Energy Storage Technology – EES an optimization framework that allows the stacking of the following applications on a single battery storage: frequency containment reserve, peak shaving, self-consumption increase, and spot-market trading. It shows that by tapping into multiple revenue streams using the dynamic stacking of applications, the profitable operation is viable under current regulatory conditions. Therefore, the framework distinguishes between behind-the-meter and in-front-of-the-meter applications and calculates how power capacity is allotted in addition to energy capacity allocation. The algorithm utilizes a rolling horizon optimization with an integrated degradation model and is fed with real-world data. When combining peak shaving with frequency containment reserve, a net present value per Euro invested of 1.00 is achieved, and 1.24 with the addition of arbitrage trading on the intraday continuous market.
Unlocking the Potential of Battery Storage with the Dynamic Stacking of Multiple Applications / Stefan Englberger, Andreas Jossen, Holger Hesse / Cell Reports Physical Science, Vol. 1, Issue 11, 100238 (2020) DOI