Page tree
Skip to end of metadata
Go to start of metadata

In order to find decisions in finance, regulations, politics including long term strategies for the electricity system and strategic planning on the industrial side, a holistic view on the overall energy system and markets is required at different levels of detail. These include mainly aggregated regional views of:

  • power production units (differentiated according to technologies)
  • electricity networks (AC/DC)
  • weather predictions and renewable feed in
  • demand forecasts (industry, trade sector, households)

and in different representations of markets (long term, spot, intraday, balancing) and participants producers (including productions of renewables)

  • network operators
  • consumers including demand side management
  • policy and regulations
  • traders and aggregators

The aim of a system modelling approach is to investigate the development of the system with respect to different time levels and corresponding questions.

Strategic (10-50 years):

On the strategic side problems of interest are:

for policy makers

  • development of long term pathways to energy transition
  • defining long term targets of the electricity system depending on e.g. climate, emission and renewable targets
  • sensitivity analysis and system security aspects
  • investiagtions of different policy designs on their impact on the system

for producers

  • the perspective of long term market and general technology development
  • the effects of support schemes on the profitability of (renewable) production
  • the influence of political regulations and targets on the energy system
  • long term strategic portfolio effects

Tactical (1-10 years):

for policy makers and regulators:

  • system security  and reserve capacities

for producers

  • influence of regulations and market rules on dispatch
  • influence on the political debate and market design issues

for traders and industries

  • medium term portfolio effects including long term bilateral contracts


network operators and regulators:

  • influence of balancing of uncertainties in renewable feed-in and demand


  • predictions of market development and revenues depending on weather and demand forecasts
  • support of optimal dispatch decisions
  • assesment of uncertainies and risks



Prof. Christoph Helmberg, TU Chemnitz

  • No labels