• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
  • Home
  • About
  • Research
  • Conference
    • CCS/Italy 2019
  • Jobs
  • Events
  • Members
    • Labs
    • Executive Board
    • Local Coordinators
    • All
  • Contact

CSS/Italy

Italian Chapter of Complex Systems Society

November 11, 2018 research

A Statistical Approach for Modeling the Aging Effects in Li-Ion Energy Storage Systems

By Mario Mureddu, Angelo Facchini, Alfonso Damiano

Published in IEEE Access, vol 6, 2018, 42196

 

 This paper presents a novel approach for the technical and economic assessment of Li-ion battery energy storage systems (BESS) in smart grids supported by renewable energy sources. The approachis based on the denition of a statistical battery degradation cost model (SBDCM), able to estimate the expected costs related to BESS aging, according to the statistical properties of its expected cycling patterns.

This new approach can improve the assessment of the economical sustainability of BESSs in this kind of applications, helping in this way the planning processes in electricity infrastructures in presence of high penetration of intermittent renewable energy sources. The SBDCM proposed in this paper is a statistical generalisation of a battery degradation model presented in the literature. The proposed approach has been validated numerically comparing the results with those of the deterministic model considering for the BESS a stochastic dataset of input signals. In order to test the usefulness of the proposed model in a real world application, the proposed SBDCM has been applied to the evaluation of the economic benefit associated to the development of distributed energy storage system scenarios in the Italian power system, aimed to provide ancillary services for supporting electricity market.

Categories: research Tags: energy, Stochastic systems, storage systems

Previous Post: « Changes to Gate Closure and its impact on wholesale electricity prices: The case of the UK
Next Post: Keeping global climate change within 1.5 ºC through net negative electric cities »

Reader Interactions

Leave a Reply Cancel reply

You must be logged in to post a comment.

Primary Sidebar

Newsletter

Tags

biodiversity brain network cognitive complex networks complex systems complex system society controllability cortex data science digital humanities Dottorato dynamics ecosystems dynamics; diauxic shifts; competitive-exclusion principle emergent patterns energy epidemiology graphene infectious diseases informatics living systems Master mobility multilayer networks networks network science neuroscience neutral theory open positions PhD PhD position Physic of Data post-doc Renewable energy sources satellite social socio-ecological systems statistical physics Stochastic systems storage systems summer school University of Padova upscaling Varenna 2018 workshop registration zimbabwe

Follow our research, events and job opportunities:

  • events (18)
  • jobs (11)
  • research (31)
  • Uncategorized (1)

Login

Register
Forgot your password?

Copyright© 2023 · Cookd Pro Theme by Shay Bocks