WeatherAggReOpt

WeatherAggReOpt

Developing Aggregation and Reduction Methods for Implementing Disaggregated Renewable Infeed Profiles in Energy System Models

Funded by

Motivation

The development of a futureproof energy system requires a consistent evaluation of technology options in a system context. Optimizing energy system models play an important role in this process. However, to achieve manageable computation times, an integral optimization will require limited spatial and temporal disaggregation. On the other hand, the infeed characteristics of renewable energy sources as well as the use and dispatch of transmission lines and conventional generators requires a sufficiently high disaggregation.

Objects of the Project

This proposal has the following goals:

  • Achieve a better theoretical knowledge of the implications of aggregation and disaggregation on the results of optimizing energy system models.
  • Developing new methods for generation and aggregation of renewable infeed potentials with high spatial and temporal resolutions.
  • Development of improved, reproducible methods of aggregation and reduction of high resolution infeed profiles aiming to reduce complexity and improved calculation speed.
  • Achieve more accurate energy systems models through the use of detailed local generation characteristics while maintaining reasonable calculation times.

Contact person

Arne Pöstges, M. Sc.

Project consortium

Chair for Management Science and Energy Economics, Universität Duisburg-Essen
Prof. Dr. Christoph Weber
Arne Pöstges 
Fraunhofer Institute for Solar Energy Systems, ISE
Dr. Christoph Kost
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