Samenvatting

Hybrid Energy Storage System (HESS) have the potential to offer better flexibility to a grid than any single
energy storage solution. However, sizing a HESS is challenging, as the required capacity, power and ramp
rates for a given application are difficult to derive. This paper proposes a method for splitting a given load
profile into several storage technology independent sub-profiles, such that each of the sub-profiles leads to
its own requirements. This method can be used to gain preliminary insight into HESS requirements before a
choice is made for specific storage technologies. To test the method, a household case is investigated using the
derived methodology, and storage requirements are found, which can then be used to derive concrete storage
technologies for the HESS of the household. Adding a HESS to the household case reduces the maximum
import power from the connected grid by approximately 7000 W and the maximum exported power to the
connected grid by approximately 1000 W. It is concluded that the method is particularly suitable for data sets
with a high granularity and many data points.