Can long term storage-based energy system models reduce computational load?

The approach has been adopted for different energy system configurations. The results show that a significant reduction in the computational load can be achieved also for long term storage-based energy system models in comparison to optimization models based on the full annual time series. 1.

Does a lower number of days affect storage capacity?

A lower number (32 days) led tosignificant biases in storage capacity, such as little to no investment in short-term storage in the case of Chronological Time Period Clustering or overinvestment in short and long-term storage for Enhanced Representative Days.

How long should a dataset be stored in a storage-based system?

For conventional system design, it could be sufficient to reduce the dataset to a few independent time slices , , while for a storage-based system design, at least typical days are required to incorporate intra-day storage or typical weeks for inter-day storage , .

How are aggregated typical periods integrated into the energy system model?

The aggregated typical periods are then integrated into the energy system model as follows: Each period defines a closed operation time frame. The economical or ecological impact of this period is represented by magnifying by the number of times it appears in the original time series.

Why does a synthetic time series not signal energy-constrained storage?

This is becausethe method retains long and mid-term dynamics of time series but not the hour to hour variations, hence the synthetic time series does not signal the need for energy-constrained storage which arbitrages over a day. For TSAs methods which select days, it could be argued that a bias exists against Long Term storage.

Why does CTPC prefer long term storage over short term storage?

In agreement with , the CTPC formulation favors Long Term storage over Short Term storage. This is becausethe method retains long and mid-term dynamics of time series but not the hour to hour variations, hence the synthetic time series does not signal the need for energy-constrained storage which arbitrages over a day.