LAPSE:2018.0898
Published Article
LAPSE:2018.0898
Evaluation of the Fluid Model Approach for the Sizing of Energy Storage in Wave-Wind Energy Systems
November 27, 2018
The application of energy storage in offshore renewable generation systems allows managing the intrinsic uncertainty of the resources and improving the utilization factor of the electrical network. Optimal storage design algorithms generally have to evaluate the behavior of the whole system thousands times before converging to the optimal solution and the reliability of the results obviously depends on the quality of input data. On the other hand, the utilization of simplified storage models in the design stage can reduce the simulation time drastically, while still providing useful information. The goal of this paper is to evaluate the applicability of a methodology for sizing the energy storage system in a hybrid wind and wave farm, which is based on fluid models. The description and performance of this modeling approach will be introduced and compared to standard design procedures based on extensive simulations. Advantages and limitations of each approach will be underlined and the impact of input data quality will be discussed.
Keywords
Brownian motion, storage sizing, storage systems, wave-wind generation
Suggested Citation
Domínguez-Navarro JA, Tedeschi E. Evaluation of the Fluid Model Approach for the Sizing of Energy Storage in Wave-Wind Energy Systems. (2018). LAPSE:2018.0898
Author Affiliations
Domínguez-Navarro JA: Department of Electrical Engineering, University of Zaragoza, María de Luna 3, Zaragoza 50018, Spain [ORCID]
Tedeschi E: Department of Electric Power Engineering, Norwegian University of Science and Technology (NTNU), O.S. Bragstads Plass 2E, Trondheim 7491, Norway [ORCID]
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Journal Name
Energies
Volume
9
Issue
3
Article Number
E162
Year
2016
Publication Date
2016-03-04
Published Version
ISSN
1996-1073
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Original Submission
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PII: en9030162, Publication Type: Journal Article
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LAPSE:2018.0898
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doi:10.3390/en9030162
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Nov 27, 2018
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CC BY 4.0
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Nov 27, 2018
 
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Nov 27, 2018
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Original Submitter
Calvin Tsay
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