r2b models

Models help us to understand the complexity of the energy system

The models we have developed ourselves are outstandingly suitable for capturing all the essential interrelationships of the energy markets and projecting them into the future. As a result, we obtain realistic forecasts and scenarios for the further development of the energy system. We are constantly developing our models further – also within the framework of research and industry projects – so that we can always analyze new questions on the basis of the latest model knowledge.

Stochastic Energy System Analysis Model (SESAM)

The European energy system model simulates the market outcome on the European electricity market on the basis of economically correct relationships. In doing so, it uses the assumption of perfect competition on these markets and assumes perfect foresight of the market participants about the underlying input parameters.

European Integrated Renewable Energy Model (EIREM)

Key strengths of the EIREM model:

  • Regional development of installed capacity and electricity generation of renewable energies
  • Economic efficiency of individual renewable energy technologies and regions
  • Subsidy costs of different renewable energy technologies for European countries, if applicable
  • Hourly feed-in profiles for renewable energies
Geographical Economical Model for Potential Sites Identification for Renewable Energies (GEMPIRE)

Through the development of automated calculation models and the creation of extensive geodatabases, it is possible to carry out flexibly parameterizable white space and land potential analyses worldwide. At the same time, it is also possible to take into account small-scale regional specifics, such as requirements from regional planning in Germany. Thanks to years of optimization of the GIS models and our powerful servers, resource- and time-efficient calculations of various scenarios at any spatial level are possible.

Model for power plant operation optimization

We calculate the profit-maximizing hourly production and marketing structure on the basis of predefined hourly electricity and balancing energy market prices, as well as the variable costs of the power plant.

In addition to marketing on the spot market, the model also calculates a maximum profit bid strategy on all balancing energy markets, taking account of energy and power prices as well as the stochastic demand of balancing energy.

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In addition to fundamental electricity market models, we have simulation models and the necessary database to derive the European feed-in of renewable energies depending on meteorological conditions.

Furthermore, we are able to forecast the development of electricity consumption and load structures depending on various influencing factors such as efficiency, electromobility and heat pumps. Extensive data is also available for these models. These have been tested in numerous projects and used to answer various questions.

In our projects, we regularly create electricity market scenarios for public clients such as ministries and state authorities as well as for municipal utilities, energy suppliers, power plant operators, grid operators and corporate clients in Germany and Austria.

Please do not hesitate to contact us – together we will find the right solution for your individual problem.