Details zur Publikation |
| Kategorie | Textpublikation |
| Referenztyp | Zeitschriften |
| DOI | 10.1016/j.softx.2022.101032 |
Lizenz  |
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| Titel (primär) | Benopt-Heat: An economic optimization model to identify robust bioenergy technologies for the German heat transition |
| Autor | Jordan, M.
; Millinger, M.; Thrän, D. |
| Quelle | SoftwareX |
| Erscheinungsjahr | 2022 |
| Department | BIOENERGIE |
| Band/Volume | 18 |
| Seite von | art. 101032 |
| Sprache | englisch |
| Topic | T5 Future Landscapes |
| Keywords | Optimization; Heat sector; Bioenergy; Uncertainty assessment |
| Abstract | Several energy system optimization models are used to identify solutions for the German energy transition. Most of them lack of detail in regard to the representation of the heterogeneous heat sector and the manifold bioenergy options. Benopt-Heat closes the gap and several research questions related to the future use of bioenergy in the German heat sector could be addressed. Based on the model results and novel methods to address uncertainty, policy insights with a high level of detail and confidence are generated. This software publication provides a basis to further investigate the manifold identified research questions in this field. |
| dauerhafte UFZ-Verlinkung | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=25837 |
| Jordan, M., Millinger, M., Thrän, D. (2022): Benopt-Heat: An economic optimization model to identify robust bioenergy technologies for the German heat transition SoftwareX 18 , art. 101032 10.1016/j.softx.2022.101032 |
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