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| Funder | Swedish Energy Agency |
|---|---|
| Recipient Organization | Chalmers University of Technology |
| Country | Sweden |
| Start Date | Dec 01, 2023 |
| End Date | Dec 31, 2027 |
| Duration | 1,491 days |
| Data Source | Swedish Research Council |
| Grant ID | P2023-01055_Energi |
Bioenergy is renewable, can offer flexible power in the electricity system and domestically produced fuels. However, the use of bioenergy risks causing greenhouse gas emissions due to land use change. The extent of these emissions depends on the type of feedstock and where it comes from. Most energy system models that analyze energy futures assume that all bioenergy causes zero emissions.
In addition to this deficiency in the representation of bioenergy, energy system models are poor at presenting solutions that are robust under uncertainty and unforeseen events.
In this project, we intend to implement both uncertainty and carbon opportunity cost in PyPSA, a leading European energy system model.
In this way, we can analyze which bioenergy resources contribute to a robust and climate-friendly energy system and in which sectors these resources are best used.
The project contributes with important methodological development as well as insights that are important for future policy decision
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