Time series aggregation for energy system design: Modeling seasonal storage

By Leander Kotzur, Peter Markewitz, Martin Robinius, Detlef Stolten. 2017

267 citations recorded by the source corpus.

The optimization-based design of renewable energy systems is a computationally demanding task because of the high temporal fluctuation of supply and demand time series. In order to reduce these time series, the aggregation of typical operation periods has become common. The problem with this method is that these aggregated typical periods are modeled independently and cannot exchange energy. Therefore, seasonal storage cannot be adequately taken into account, although this will be necessary for energy systems with a high share of renewable generation.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/a8968d10adc88b876cbbce188d29ea2746f790cc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

  1. Johannes Ruf
  2. Herib Blanco
  3. Wouter De Nijs
  4. André P. C. Faaij

Citations in the corpus