Model categorization¶
The model in brief can be characterized as a bottom-up electricity market optimization model. In the following, a model characterization based on Hall and Buckley (2016) is introduced:
Model purpose and structure¶
criterion |
manifestation |
|---|---|
Purpose of the model |
General: scenario analyses (forecasting)
Specific: power supply and power prices
|
Structure of the model |
Demand: exogenously (except for demand response)
Supply: RES exogenously; All other power sources endogenously optimized
|
Geographical coverage |
National: Federal Republic of Germany + imports / exports from
/ to adjacent electric neighbors
|
Sectoral coverage |
Power market (effectively day-ahead) from a macroeconomic point of view
(no bidding simulation)
|
Time horizon |
Short-term (<= 1 year) |
Time step |
Hourly |
Technological detail¶
criterion |
manifestation |
|---|---|
Renewable Techology inclusion |
Hydro (run of river), Solar, Wind, Biomass |
Storage Technology Inclusion |
Pumped-hydro energy storage, Reservoir energy storage,
(Battery energy storage)
|
Demand Characteristic Inclusion |
Aggregated demand for Industry, Residential Sector,
Commercial Sector and Transportation
|
Cost Inclusion |
Fuel prices, Operations and Maintenance Costs, CO2-costs |
Mathematical description¶
criterion |
manifestation |
|---|---|
Analytical Approach |
Bottom-Up (fundamental) |
Underlying Methodology |
Optimization / Spreadsheet / Toolbox |
Mathematical Approach |
Linear programming |
Data Requirements |
Quantitative, Monetary, Disaggregated by technologies and bidding zones |
References¶
Hall, Lisa M.H.; Buckley, Alastair R. (2016): A review of energy systems models in the UK. Prevalent usage and categorisation. In: Applied Energy 169, S. 607–628. DOI: 10.1016/j.apenergy.2016.02.044.