Publication Details |
| Category | Text Publication |
| Reference Category | Book chapters |
| DOI | 10.1109/OSMSES54027.2022.9769166 |
| Title (Primary) | Abandoning the residual load duration curve and overcoming the computational challenge |
| Title (Secondary) | 2022 Open Source Modelling and Simulation of Energy Systems (OSMSES) April 4-5, 2022, Aachen, Germany. Proceedings |
| Author | Esmaeili Aliabadi, D.
; Chan, K.; Jordan, M.
; Millinger, M.; Thrän, D. |
| Year | 2022 |
| Department | BIOENERGIE |
| Page From | 1 |
| Page To | 6 |
| Language | 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. |
| Persistent UFZ Identifier | 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 |
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