The thinking that shapes modern electricity systems

How much does price forecast accuracy affect BESS revenue? Electricity Maps and FlexUp ran an eight-month simulation in the German day-ahead market to find out. The Electricity Maps forecast outperformed a naive persistence baseline by €4,860 per MW and captured 90.7% of maximum achievable revenue. The study also shows why MAE, the metric most forecast evaluations are built around, is a poor predictor of revenue capture, and what to use instead.

A brief summary of Electricity Maps' response to the GHG Protocol's Scope 2 public consultation

This study uses a hypothetical e-methanol case to investigate (1) how accounting requirements of different policy regimes affect the accuracy of inventory emissions, and (2) how these reported values compare with emissions estimated under an impact-based accounting perspective.

Indisputably, the marginal signal holds the theoretical power to represent emissions physically caused when more electricity is requested. However, this concept does not translate well to the reality of grid operations. It is trying to force a simplified picture onto an exceedingly complex system and is bound to be inaccurate because of that.