Analytical Solution for the Cost Optimal Electric Energy Storage Size Based on the Effective Energy Shift (EfES) Algorithm
Fellerer J, German R (2024)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2024
Journal
Publisher: Springer Science and Business Media Deutschland GmbH
Book Volume: 15272 LNCS
Pages Range: 224-246
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Bali
ISBN: 9783031747403
DOI: 10.1007/978-3-031-74741-0_15
Abstract
The importance of Electric Energy Storage (EES) for the transformation to an energy grid with a large share of Renewable Energy Source (RES) has been studied and shown for many decades. While larger storage systems might provide more energetic benefits for the overall grid, they also require higher investment and capital costs. Hence the question of the cost-optimal size of EES and RES is commonly stated in public debates and the related literature. This minimization problem is mainly solved by combining simulation and optimization methods. Even though this enables the analysis of highly complex scenarios, the configuration and computation time are high, and many of the found methods are not reproducible. Within our paper, we introduce an analytical solution for calculating the cost-optimal capacity of an EES that is derived from results computed by the Effective Energy Shift (EfES) algorithm.
Authors with CRIS profile
Jonathan Fellerer
Computer Science 7 (Computer Networks and Communication Systems)
Reinhard German
Computer Science 7 (Computer Networks and Communication Systems)
How to cite
APA:
Fellerer, J., & German, R. (2024). Analytical Solution for the Cost Optimal Electric Energy Storage Size Based on the Effective Energy Shift (EfES) Algorithm. In Bo Nørregaard Jørgensen, Zheng Grace Ma, Fransisco Danang Wijaya, Roni Irnawan, Sarjiya Sarjiya (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 224-246). Bali, ID: Springer Science and Business Media Deutschland GmbH.
MLA:
Fellerer, Jonathan, and Reinhard German. "Analytical Solution for the Cost Optimal Electric Energy Storage Size Based on the Effective Energy Shift (EfES) Algorithm." Proceedings of the 4th Energy Informatics.Academy Conference, EI.A 2024, Bali Ed. Bo Nørregaard Jørgensen, Zheng Grace Ma, Fransisco Danang Wijaya, Roni Irnawan, Sarjiya Sarjiya, Springer Science and Business Media Deutschland GmbH, 2024. 224-246.
BibTeX: Download