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.
Methodology
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).