IOSB electricity market model FENIA - Optimization of the power plant fleet

The FENIA model (Fundamental Model of Energy Economics of the Applied Systems Engineering section of the institute) was developed so that the German power plant and storage portfolio can be mapped and its development can be examined under the defined scenarios. Furthermore, it enables the economic efficiency calculation of new technologies on the wholesale market for electricity.



The model includes the modeling of the power plant park and the optimization of the power plant deployment under technical and economic constraints.

The modeling of the power plant park is based on public data such as the power plant list of the network development plan or the BNetzA. The current status and the future expansion requirements of the power plants (scenarios) are mapped. The power plants can be integrated either blockwise or as clusters (according to energy source and year of construction). The optimization model is based on the software EMS-EMD PROPHET and is structured in two levels. The time series of the load (net electricity demand after deduction of CHP electricity generation), the trading balance, the CHP feed-in and the renewable energy feed-in as well as the pumped storage components, the components for absorbing surplus electrical energy (dump power) and the transitions to the sub-models are located in the main level (see Figure 1). Starting from the main level, there are 19 submodels in which the conventional power plant park is represented for each federal state. For North Rhine-Westphalia, three submodels are provided because of the extensive power plant park located there. The 19th submodel contains the power plants that cannot be clearly assigned to a federal state. The input data for the model are technical and economic parameters such as fuel and CO2 certificate prices, time series for electricity demand / feed-in of renewable energies / load curve of CHP plants / export and import, as well as installed capacity, efficiencies, start-up costs, start-up duration and minimum capacities of the power plants (see Table 1).

Table 1: Input data FENIA

Topologie Renewable energies Conventional generation / storage Other technical parameters Economic parameters Last
Regions (federal states) Installed capacities and feed-in time series Installed capacity per power plant unit / storage volume per storage facility Load-dependent efficiencies (electr., therm.) /

Storage efficiency
Fuel prices (partly incl. seasonal fluctuations) Net electricity demand (Dt.)
  Wind energy (German) Location (region) Start-up conditions Transport costs (hard coal) International exchange (German)
  PV (German) Fuel Conditions for min. and max. (injection and withdrawal) capacities    CO2 certification costs CHP electricity demand per energy source
  Hydropower (German)   Availabilities Start-up costs  
  Biomass (German)   CO2 emission factors    
  Running water (German)   Min. operating and downtimes    
      Reserve provision    

As a result, FENIA provides the schedules of the power plants and technologies used. Based on this, CO2 costs / emissions, load coverage, total system costs and the course of the wholesale price are determined (see Table 2).

Table 2: Result parameters FENIA

Topology Renewable energies Conventional generation / storage Other technical parameters Economic parameters Last
Production per region Total generation Dt. Blockwise power plant / storage schedules Production mix Annual fuel prices Load coverage (Dt.)
      CO2 emissions Annual start-up costs CHP electricity demand coverage
        Annual CO2 certification costs  
        Marginal costs