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Greenhouse gas emissions from hybrid energy storage systems in future 100% renewable power systems – A Swedish case based on consequential life cycle assessment
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electromagnetic Engineering.ORCID iD: 0000-0002-0206-6631
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electromagnetic Engineering.ORCID iD: 0000-0003-4740-1832
2023 (English)In: Journal of Energy Storage, ISSN 2352-152X, E-ISSN 2352-1538, Vol. 57, p. 106167-106187, article id 106167Article in journal (Refereed) Published
Abstract [en]

To promote the development of renewables, this article evaluates the life cycle greenhouse gas (GHG) emissions from hybrid energy storage systems (HESSs) in 100% renewable power systems. The consequential life cycle assessment (CLCA) approach is applied to evaluate and forecast the environmental implications of HESSs. Based on the power system of Sweden, different HESS combinations, which include energy storage (ES) technologies: pumped hydro ES, hydrogen ES, lithium-ion (Li-ion) batteries, lead-acid (PbA) batteries, vanadium redox (VR) batteries, supercapacitors (SCs), and flywheels, are discussed. The results show that for Sweden and similar large-scale utility applications, the cradle-to-gate GHG emissions from the HESS contribute to a major share of the life cycle GHG emissions due to the under-utilization of the cycle life. Among the HESSs compared in this study, the Pumped hydro+Li-ion+Flywheel combination exhibits the least life cycle GHG emissions. Moreover, the phasing out of nuclear power brings a severe challenge to the carbon reduction target. However, the introduced HESS manages to reduce GHG emissions from a 100% renewable power system.

Place, publisher, year, edition, pages
Elsevier BV , 2023. Vol. 57, p. 106167-106187, article id 106167
Keywords [en]
Consequential life cycle assessment; Greenhouse gas emissions; Hybrid energy storage system; Renewable power system
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-322282DOI: 10.1016/j.est.2022.106167ISI: 000920488300005Scopus ID: 2-s2.0-85143688365OAI: oai:DiVA.org:kth-322282DiVA, id: diva2:1717321
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Note

QC 20230320

Available from: 2022-12-08 Created: 2022-12-08 Last updated: 2026-03-10Bibliographically approved

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Jiao, YangMånsson, Daniel

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