Scenario framework

open_eGo Scenarios

Three scenarios were defined and used for the intended power flow simulations. Apart from one status quo scenario representing the German electrical energy system in 2015, two future scenarios were defined employing exogenous assumptions. For Germany, the installed generation capacities of the status quo scenario were taken from the power plant list of the Open Power System Data project [opsd-conv], [opsd-res] (State: 01-01-2016). Whereas the 2035 scenario is based on publicly available information and methods of the Netzentwicklungsplan (NEP) Strom 2025, erster Entwurf [NEP2015] . Out of several NEP scenarios, the so-called “B1-2035” was chosen; it is characterized by a high renewable energy expansion and an increased share of natural gas [NEP2015]. The third scenario pictures a future electrical energy system powered to 100% from renewable energy and is mainly based on the 100% RES scenario of the e-Highway2050 - Modular Development Plan of the Pan-European Transmission System 2050 [ehighway2050]. In order to build a 100% energy system in Germany 13,GW of gas fired power plants were removed (see: [christ2017] and [FlEnS]).

Table Characterization of scenarios by key parameters shows the scenario specifications and significant characteristics of all three scenarios.

Table 1 Characterization of scenarios by key parameters
  Status Quo NEP 2035 eGo 100%
Share of RES in installed capacity 46,46% 70,02% 100,00%
Net electricity consumption (Twh) 506 506 506
Annual peak load (GW) 87,01 87,01 87,01
Share of renewable energy in el. Consumption 27,31% 65,80% 100,00%

For the calculation of the Share of renewable energy in el. consumption the assumption-a where used.

Table Installed generation capacities in GW for Germany and marginal costs for conventional generation in 2014€/MWh , divided by scenario and technology/fuel displays the resulting installed electrical capacities in Germany and marginal cost assumptions for each scenario divided by the different technologies and fuels.

Table 2 Installed generation capacities
Technology   status quo   NEP 2035   eGo 100  
  GW EUR/MWh GW EUR/MWh GW EUR/MWh  
Nuclear energy 12 4,68 0 5,48 0  
Lignite 23,3 10,78 9,1 17,64 0  
Hard coal 31,5 14,95 11 24,79 0  
Natural gas 27,9 32,3 33,5 41,93 0 56,05  
Oil 4,5 41,02 0,5 68,86 0  
Waste 1,7 31,65 0 39,93 0  
CHP $<$ 10 MW 0 23,96 8,2 31,11 0 31,63  
Other conventional generation (mixed fuels) 2,6 31,65 2,4 39,93 0  
Total conventional generation 103,5   64,7   0    
Wind onshore   41,3   88,8   98,4  
Wind offshore   5,6   18,5   27  
Photovoltaic   38,5   59,9   97,8  
Biomass   7,2   8,4   27,8  
Hydro power   3,9   4,2   4,3  
Other renewable generation   1,4   1,2   2,2  
Total renewable generation   97,9   181   257,5  
Pump storage 9,3   12,7   12,8    
Total generation 210,7   258,4   270,3    

The table

Methodology

References

[NEP2015](1, 2) Übertragungsnetzbetreiber Deutschland. (2015).: Netzentwicklungsplan Strom 2025, Version 2015, 1. Entwurf, 2015. https://www.netzentwicklungsplan.de/sites/default/files/paragraphs-files/NEP_2025_1_Entwurf_Teil1_0_0.pdf
[coastdat-2]coastDat-2 (2017).: Hindcast model http://www.coastdat.de/data/index.php.en
[FlEnS]Bunke, Wolf-Dieter, Martin Söthe, Marion Wingenbach, and Cord Kaldemeyer. 2018.: “(Fl)ensburg (En)ergy (S)cenarios - open_eGo Scenarios for 2014/2035/2050.” Open Science Framework. June 13. doi:10.17605/OSF.IO/BPF36.
[opsd-conv]Open Power System Data. 2016.: Data provided by Open Power System Data - Data Package Conventional power plants, version 2016-10-27. Primary data from BNetzA Kraftwerksliste, Umweltbundesamt Datenbank Kraftwerke in Deutschland.
[opsd-res]Open Power System Data. 2017.: Data provided by Open Power System Data - Data Package Renewable power plants, early version 2016-02-10. Primary data from BNetzA, BNetzA_PV, TransnetBW, TenneT, Amprion, 50Hertz, Netztransparenz.de, Postleitzahlen Deutschland, Energinet.dk, Energistyrelsen, GeoNames, French Ministery of the Environment, Energy and the Sea, OpenDataSoft, Urzad Regulacji Energetyki (URE)
[ehighway2050]e-Highway2050. (2015).: e-HIGHWAY 2050 Modular Development Plan of the Pan-European Transmission System 2050 - database per country. Retrieved from http://www.e-highway2050.eu/fileadmin/documents/Results/e-Highway_database_per_country-08022016.xlsx
[christ2017]Christ, M. (2017).: Integration sozial-ökologischer Faktoren in die Energiesystemmodellierung am Beispiel von Entwicklungspfaden für den Windenergieausbau in Deutschland (PhD Thesis). Europa-Universität Flensburg.
[BMWi]text …

Footnotes

[1]Statistic and report values (See: BMWi 2017, sheet 20 year 2014 [BMWi], NEP 2025 [NEP2015], own calculation for eGo 100%.