Details zur Publikation |
| Kategorie | Textpublikation |
| Referenztyp | Buchkapitel |
| DOI | 10.1109/EEM68581.2026.11589624 |
| Titel (primär) | Exploring Germany’s national energy and climate plan using stochastic optimization |
| Titel (sekundär) | 2026 22nd International Conference on the European Energy Market (EEM), Trondheim, Norway, 22-24 June 2026 |
| Autor | Gutjahr, S.; Esmaeili Aliabadi, D.
; Moskalenko, N.; Löffler, K.; Thrän, D.
|
| Quelle | EEM |
| Erscheinungsjahr | 2026 |
| Department | SANA |
| Band/Volume | 2026 |
| Sprache | englisch |
| Topic | T5 Future Landscapes |
| Keywords | Modeling; Energy; Renewable energy sources; Meteorology; Wind; Optimization models; Availability; Printing; Climate; Costing |
| Abstract | The energy sector is the biggest contributor to greenhouse gas emissions. The need to decarbonize the energy sector leads to increasing investment in renewable energy sources. While variable renewable energy (VRE) such as wind and solar photovoltaics introduces fluctuations, depending on weather variability, bioenergy - with its inherent flexibility can mitigate the negative impacts of the intermittency on a netzero emissions energy system. Furthermore, biomass removes atmospheric carbon dioxide, assisting us to reach climate goals. This work presents the integration of stochasticity into the extended bioenergy optimization model (BENOPTex) to analyze the interplay between VRE and dispatchable bioenergy. The findings demonstrate that for large amounts of solar and wind energy, the overall system cost is at the minimum, whereas during shortages, flexible bioenergy can support meeting electricity demand but at a higher system cost. |
| Gutjahr, S., Esmaeili Aliabadi, D., Moskalenko, N., Löffler, K., Thrän, D. (2026): Exploring Germany’s national energy and climate plan using stochastic optimization 2026 22nd International Conference on the European Energy Market (EEM), Trondheim, Norway, 22-24 June 2026 EEM 2026 Institute of Electrical and Electronics Engineers (IEEE), New York, NY, 10.1109/EEM68581.2026.11589624 |
|