Frey, Ulrich und Cao, Karl-Kiên und Sasanpour, Shima und Buschmann, Jan und Breuer, Thomas (2025) The benefits of exploring a large scenario space for future energy systems. Nature Communications. Nature Publishing Group. doi: 10.1038/s41467-025-67593-9. ISSN 2041-1723.
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Offizielle URL: https://www.nature.com/articles/s41467-025-67593-9
Kurzfassung
Energy scenario analysis with optimization approaches rarely goes beyond a small number of scenarios. Disadvantages include limited coverage of uncertainties and assumptions, and a limited ability to provide robust policy advice. We present an approach that enables the multi-criterial evaluation of more than 11,000 scenarios and demonstrate it for the German power system. We vary both a wide range of input parameters and method choices. The resulting scenarios are assessed through a number of indicators on affordability, supply-security and sustainability. The most significant impacts on the results stem from considering multiple weather years. Furthermore, we estimate the number of runs required for robust energy systems analyses - well over 100 scenarios are needed. Nevertheless, fewer scenarios may be sufficient for limited scopes. Our analysis also underlines a challenge for future energy system design: cost-efficient decarbonization while conserving natural resources.
| elib-URL des Eintrags: | https://elib.dlr.de/222436/ | ||||||||||||||||||||||||
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| Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||||||||||
| Titel: | The benefits of exploring a large scenario space for future energy systems | ||||||||||||||||||||||||
| Autoren: |
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| Datum: | 23 Dezember 2025 | ||||||||||||||||||||||||
| Erschienen in: | Nature Communications | ||||||||||||||||||||||||
| Referierte Publikation: | Ja | ||||||||||||||||||||||||
| Open Access: | Ja | ||||||||||||||||||||||||
| Gold Open Access: | Ja | ||||||||||||||||||||||||
| In SCOPUS: | Ja | ||||||||||||||||||||||||
| In ISI Web of Science: | Ja | ||||||||||||||||||||||||
| DOI: | 10.1038/s41467-025-67593-9 | ||||||||||||||||||||||||
| Verlag: | Nature Publishing Group | ||||||||||||||||||||||||
| ISSN: | 2041-1723 | ||||||||||||||||||||||||
| Status: | veröffentlicht | ||||||||||||||||||||||||
| Stichwörter: | large scenario space; energy system optimization model; high-performance computing | ||||||||||||||||||||||||
| HGF - Forschungsbereich: | Energie | ||||||||||||||||||||||||
| HGF - Programm: | Energiesystemdesign | ||||||||||||||||||||||||
| HGF - Programmthema: | Energiesystemtransformation | ||||||||||||||||||||||||
| DLR - Schwerpunkt: | Energie | ||||||||||||||||||||||||
| DLR - Forschungsgebiet: | E SY - Energiesystemtechnologie und -analyse | ||||||||||||||||||||||||
| DLR - Teilgebiet (Projekt, Vorhaben): | E - Systemanalyse und Technologiebewertung | ||||||||||||||||||||||||
| Standort: | Stuttgart | ||||||||||||||||||||||||
| Institute & Einrichtungen: | Institut für Vernetzte Energiesysteme > Energiesystemanalyse, ST Institut für Vernetzte Energiesysteme > Energiesystemanalyse, OL | ||||||||||||||||||||||||
| Hinterlegt von: | Sasanpour, Shima | ||||||||||||||||||||||||
| Hinterlegt am: | 28 Jan 2026 14:11 | ||||||||||||||||||||||||
| Letzte Änderung: | 28 Jan 2026 14:12 |
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