Details zur Publikation
Kategorie Textpublikation
Referenztyp Buchkapitel
DOI 10.1109/OSMSES54027.2022.9769166
Titel (primär) Abandoning the residual load duration curve and overcoming the computational challenge
Titel (sekundär) 2022 Open Source Modelling and Simulation of Energy Systems (OSMSES) April 4-5, 2022, Aachen, Germany. Proceedings
Autor Esmaeili Aliabadi, D. ORCID logo ; Chan, K.; Jordan, M. ORCID logo ; Millinger, M.; Thrän, D.
Erscheinungsjahr 2022
Department BIOENERGIE
Seite von 1
Seite bis 6
Sprache englisch
Topic T5 Future Landscapes
Keywords Residual load duration curve; Bioenergy; Flexibility; Variable renewables; Renewable energy sources; Computational modeling; Biological system modeling; Wind farms; Data models; Mathematical models; Standards
Abstract As the importance of variable energy sources in-creased in the power sector, employing the Residual Load Duration Curve (RLDC) method became standard practice in many energy system models. RLDCs allow modelers to integrate temporally high-resolution data sets in the energy system while keeping the underlying model tractable. Although the RLDC approach can assist us in simplifying calculations, this comes at a cost: RLDCs disregard the inter-relations between time slices. In this manuscript, we elaborate on our strategy to overcome the computational burden caused by abandoning the RLDC method in the BioENergy OPTimization model (BENOPT). For that purpose, the available resources are utilized efficiently to reduce the run-time.
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=26133
Esmaeili Aliabadi, D., Chan, K., Jordan, M., Millinger, M., Thrän, D. (2022):
Abandoning the residual load duration curve and overcoming the computational challenge
2022 Open Source Modelling and Simulation of Energy Systems (OSMSES) April 4-5, 2022, Aachen, Germany. Proceedings
Institute of Electrical and Electronics Engineers (IEEE), New York, NY, p. 1 - 6 10.1109/OSMSES54027.2022.9769166