This is a property of type Text.
A selection of research questions that the model is capable of answering.
Pages using the property "Example research questions"
Showing 21 pages using this property.
|AnyMOD +||Pathways for the decarbonisation of the European energy system until 2050|
|Backbone +||Cost efficient future energy systems with high shares of variable power generation. Exploring the impact of operational details on energy system planning. Optimizing the use of storages and energy intensive processes that have days-long time delays (model temporal structure can change during the horizon).|
|DESSTinEE +||How much transmission will Europe need in 2050
How will electricity demand change in 2050 under different decarbonisation pathways|
|DIETER +||Which capacities of various flexibility / sector coupling options prove to be optimal under different shares of renewables, and what are their effects on quantities and prices?|
|Dispa-SET +||Influence of self-consumption and distributed generation; Influence of electric vehicles; Influence of high shares of renewables; Flexibility provided by DSM and power-to-heat; ...|
|DynPP +||Which potential of Flexibility can be provided by specific thermal power plants?|
|EMLab-Generation +||- What is the effect of carbon price caps?
- How is the market stability reserve going to effect the EU ETS?
- What long-term effects does a capacity market have?|
|EMMA +||Long-term market value of wind and solar power; Optimal share of wind and solar power in electricity generation; Explaining electricity price development|
|Energy Transition Model +||What would happen (to reliability, CO2, cost) if we close all non-profitable power plants?
Which combinations of options can we use to reach a certain goal (in sustainability, cost, import dependence etc.)?|
|EnergyNumbers-Balancing +||In Britain, how much wind & PV generation would be constrained, and what proportion of demand would get met in real time, assuming half-hourly demand as it was 2011-2015, and X% aggregate wind penetration, Y% aggregate PV penetration, and power-to-gas storage with an input efficiency of A%, an output efficiency of B%, storage capacity of C TWh, an input capacity of D GW, and an output capacity of E GW.|
|EnergyScope +||Role of storage?
Benefit of electrification?
How to handle high shares of renewables?
What is the impact of uncertainties on investment decisions?|
|GAMAMOD-DE +||questions about:
- sector coupling between electricity and gas
- security of supply in the German gas network|
|Genesys +||How much storage systems of which technology needs to be implemented in the future energy system.
How big are the transfer capacities between regions.
How much renewable generator power of which technology are necessary?
How much conventional generators are allowed within assumed CO2 emission limits?|
|MultiMod +||Scenarios regarding North American shale gas development, Russian supply disruption to Europe, evaluation of renewable support measures (feed-in tariffs vs. emission quota)
Model variations (forks) used for other research projects by international partners (see short description for details)|
|PLEXOS Open EU +||Cost of electricity in 2020
Congestion on Lines
Impact of carbon prices|
|PyPSA +||Power flow analysis, market analysis, total system investment optimisation, contingency analysis, sector coupling|
|SimSES +||Optimal system sizing and operation due to battery aging or economic results|
|StELMOD +||Impact of uncertain renewable generation on markets and generation commitment and dispatch; Analysis of congestion management issues and market design options|
|Switch +||identify least-cost combination of resources to reach 100% renewable power; calculate cost of achieving various renewable or carbon targets; select assets to minimize cost for a microgrid, possibly interacting with outside electricity supplier; calculate effect of price-responsive demand on consumer welfare while adopting renewable power|
|Temoa +||1. How does uncertainty in technology-specific characteristics (e.g., capital cost of solar PV) affect outcomes of interest (e.g., fuel prices, fossil fuel consumption, air emissions)?
2. Which technologies and fuels appear to be robust options given uncertainty in future climate
policy and rates of technology learning?
3. How much flexibility exists in energy system design and at what cost?|
|TransiEnt +||* How does the possible amount of hydrogen that can be fed into the gas distribution grid depend on the ambient temperature (considering changes in heating load, gas density and heat of combustion)
* How does the use of synthetic wind inertia technology impact the electric grid stability|