Skip to Main content Skip to Navigation
Conference papers

BESS Optimal Sizing Methodology -Degree of Impact of Several Influencing Factors

Abstract : Battery Energy Storage Systems (BESS) are more and more competitive due to their increasing performances and decreasing costs. Although certain battery storage technologies may be mature and reliable from a technological perspective, with further cost reductions expected, the economic concern of battery systems is still a major barrier to be overcome before BESS can be fully utilized as a mainstream storage solution in the energy sector. Since the investment costs for deploying BESS are significant, one of the most crucial issues is to optimally size the battery system to balance the trade-off between using BESS to improve energy system performance and to achieve profitable investment. Determining the optimal BESS size for a specific application is a complex task because it relies on many factors, depending on the application itself, on the technical characteristics of the battery system and on the business model framework. This paper describes a generic simulation-based analytical method which has been developed to determine the BESS optimal size by taking into account both the application and the storage performance over its lifetime. Its implementation and the associated results are presented for two different BESS use cases: A smoothing and peak shaving application for PV injection and an off-grid hybrid microgrid case. In order to provide a better understanding of the most influencing drivers to consider during a BESS sizing procedure, several sensitivity analyses have been carried out on these two illustrative cases. The use of comparative scenarios led to quantify the degree of impact on optimal sizing results of several factors among the following topics: control strategy, forecast quality, degradation of battery performance due to ageing, precision of technical modelling.
Complete list of metadatas

Cited literature [6 references]  Display  Hide  Download

https://hal-cea.archives-ouvertes.fr/cea-03001014
Contributor : Benoît Richard <>
Submitted on : Thursday, November 12, 2020 - 10:59:58 AM
Last modification on : Sunday, November 15, 2020 - 3:13:58 AM

File

SIW20-26_BESS optimal sizing_R...
Files produced by the author(s)

Identifiers

  • HAL Id : cea-03001014, version 1
  • ARXIV : 2011.06963

Citation

Benoît Richard, Xavier Le Pivert, Yves-Marie Bourien. BESS Optimal Sizing Methodology -Degree of Impact of Several Influencing Factors. 10th Solar & Storage Integration Workshop, Nov 2020, online, France. ⟨cea-03001014⟩

Share

Metrics

Record views

8

Files downloads

5