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Optimal energy storage sizing using equivalent circuit modelling for prosumer applications (Part II)
KTH, School of Electrical Engineering and Computer Science (EECS), Electromagnetic Engineering. (Energy storage)ORCID iD: 0000-0002-3070-9059
KTH, School of Electrical Engineering and Computer Science (EECS), Electromagnetic Engineering. (Energy storage)ORCID iD: 0000-0003-4740-1832
2018 (English)In: Journal of Energy Storage, Vol. 18, p. 1-15Article in journal, Editorial material (Refereed) Published
Abstract [en]

An optimal system design indirectly implies efficient use of available resources, i.e., minimum investment to achieve the desired outcome. An increased demand of energy storages highlights the importance of efficient useand optimal storage sizing. However, the variety of available and newly developed storage technologies complicates decision-making in choosing the appropriate technology to the compatible application. The characterizationof storage types extends to the inherent dynamic behavior and technical limitations, which is imperativefor storage system design. This paper proposes a brute-force method of optimal storage system sizing based onthe equivalent circuit modeling while considering storage's operation constraints. The sizing routine is applied to a set of different energy storage technologies (lead-acid, Li-ion, vanadium-redox flow battery, double-layercapacitor, flywheel) to balance the energy demand of a single-family building supported by a 3.36 kWpeak photovoltaic system. This case focuses on the energy management application of energy storages. Additionally, asuitability index is introduced to determine the applicability of the investigated storages in reference to an ideal case.

Place, publisher, year, edition, pages
2018. Vol. 18, p. 1-15
Keywords [en]
Optimization, Energy storage, Brute-force method, Equivalent circuit
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-227174DOI: 10.1016/j.est.2018.04.015ISI: 000439496500001Scopus ID: 2-s2.0-85046370323OAI: oai:DiVA.org:kth-227174DiVA, id: diva2:1203586
Projects
StandUp for Energy
Note

QC 20180612

Available from: 2018-05-03 Created: 2018-05-03 Last updated: 2018-12-11Bibliographically approved
In thesis
1. Assessment of energy storage systems for power system applications based on equivalent circuit modeling
Open this publication in new window or tab >>Assessment of energy storage systems for power system applications based on equivalent circuit modeling
2019 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Climate change triggered the rethinking of our current energy system. A restructuring is necessary and in progress with the goal to improve our energy supplychain in efficiency and sustainability. This has led to the increased use of renewable energy sources such as solar and wind power. In 2017 wind power surpassed all other sources, including oil, nuclear, coal, except gas in terms of total installed capacity. Renewable energy sources became an integral part in our energy systemand will continue to grow in the future. However, what is often forgotten ist hat these sources introduce high variability in the provision of power. Variability implies a lack of control over the availability of electricity, which seldom matches with the concurrent demand. Energy storages have been highlighted as a viable solution in managing arising imbalances and maintaining the security of supply. Nevertheless, numerous technologies and application possibilities exist, each unique in their characteristics and requirements. Not every energy storage works in every situation, which naturally raises the question: How can we choose the optimal storage for any application?

To answer this question we developed an unified model approach for all energy storages based on the equivalent circuit model. The key idea is to provide a direct way of comparing and assessing energy storages, i.e., by simulating and analyzing their performances for different applications. Differences in performance become visible in investigating the dynamic behavior. We proposed a general model, which effectively represents energy storages of different types (electrical, mechanical, hydraulicetc.) and includes their main characteristics (also non-linearity). Secondly, the proposed models have been validated through an experimental setup to test energy storages under changing operations. Subsequently, a sizing routine has been implemented to optimally size an energy storage system for any type of application. Based on this approach the energy storages can be easily compared and important key parameters such as efficiency, rated power, energy capacity etc., can be derived. Finally, the proposed models and methods are applied to various power system applications. A suitability index is introduced to measure the qualification of an individual energy storage for the selected applications. Alternatively, an evaluation method based on fuzzy logic has been explored. Both suitability index and fuzzy logic can effectively determine and rank the suitability of energy storages.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2019. p. 69
Series
TRITA-EECS-AVL ; 2019:3
Keywords
Energy storage system; Assessment; Equivalent circuit model; Suitability;
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering; Energy Technology
Identifiers
urn:nbn:se:kth:diva-240089 (URN)978-91-7873-053-7 (ISBN)
Public defence
2019-01-25, 4301 Kollegiesalen, Brinellvägen 8, Stockholm, 10:00 (English)
Opponent
Supervisors
Projects
STandUP for Energy
Note

QC 20181211

Available from: 2018-12-14 Created: 2018-12-11 Last updated: 2018-12-14Bibliographically approved

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Månsson, Daniel

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