The High Resolution Power System (HiREPS) model is a dynamical power system simulation and optimization model that also includes the heat
sector, electric cars and other demans flexibility options. The focus of the model is to analyze the canges in the future electricity system - by specifically
including a detailed representation of all relevant operational system constraints.
The HiREPS model addresses these aspects through the detailed representation of
• RES-E electricity generation: The HiREPS model uses weather data, to calculate for an assumed distribution of wind turbines, solar photovoltaic and solar thermal power plants, the local renewable power generation across Europe in a 7x7 km spatial resolution. This localized renewable power generation is then used in the unit-commitment and load-flow simulations.
• Conventional power plants: HiREPS dynamically simulates the unit commitment of the thermal power plants by including the technical and economical limitations. The technical constraints are for example maximum ramp rates, efficiency reduction at part loaded operation, minimum stable output, minimum on and off times. Economical constraints are for example start-up costs, fuel costs and CO2 costs.
• Hydro power: Hydro power storages are a key option to enable the efficient integration of variable renewable electricity generation from solar and wind energy. Therefore HiREPS includes a detailed representation of the hydropower sector and also the option to invest in additional pumped hydro storage options.
• Load-flow simulations: The model includes a representation of the high-voltage transmission grid of ENTSO-E and neighbouring regions and calculates for each hour a load flow simulation. The grid limitations have an impact on local power prices and on the integration of renewable energies.
• Distric heat: The model includes a detailed coupling of electricity and district heat generation including simulation of heatpumps. For combined heat and power plants this coupling is important to reflect the reduced flexibility due to the district heat demand which has to be served.
• Electric passenger cars: Detailed modelling of electric passenger cars assuming different charging strategies and user behaviour patterns based on real world driving data
• Demand side flexibility options: industrial demand side flexiblility options are modelled as well as power to gas, power to heat and new pumped hydro
• Typical outputs: Typical output are hourly electricity and district heat prices, CO2 Emissions, Primary Energy Consumption, but also optimal investment decisions and power plant portfolio mix.
The model has been applied in numerous EU and national projects e.g:
P2H-Pot - Potentiale, Wirtschaftlichkeit und Systemlösungen für Power-to-Heat
Emobility Simulation Project Define
EU Project DiaCore
EU Project BETTER
Simulation Video of Loadflow in the Balkans: Project BETTER