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Grid-connected lithium-ion battery energy storage system: A bibliometric analysis for emerging future directions

S. B. Wali, M. A. Hannan*, Pin Jern Ker, MS Abd Rahman, M. Mansor, K. M. Muttaqi, T. M. I. Mahlia, R. A. Begum

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    Abstract

    The lithium-ion battery energy storage systems (ESS) have fuelled a lot of research and development due to numerous important advancements in the integration and development over the last decade. The main purpose of the presented bibliometric analysis is to provide the current research trends and impacts along with the comprehensive review in the field of the grid-connected lithium-ion battery (LIB) ESS within the year 2010–2021. The research has been performed using refined keyword searches on grid-connected LIB ESS in the Scopus database and the data of the top 100 highly cited articles were extracted. The research trend has shown that the grid-connected LIB ESS literature has increased substantially between 2016 and 2021, compared to the period 2010–2015. The bibliometric analysis consists of detailed keyword co-occurrence network analysis, co-authorship map, distribution of articles over countries, journals, research types, and subject categories. The evaluation of highly cited articles identifies numerous aspects, including methodologies and systems, issues, and challenges, to determine existing constraints and research gaps. The process of deciding, developing, and evaluating the highly cited articles, is expected to contribute to a methodical foundation for potential progress of grid-connected LIB ESS, as well as identify emerging pathways for future researchers. This study may act as a guideline providing future directions towards improving energy efficiency, environmental sustainability, reliability, and flexibility of the LIB ESS integrated power system.

    Original languageEnglish
    Article number130272
    Pages (from-to)1-21
    Number of pages21
    JournalJournal of Cleaner Production
    Volume334
    DOIs
    Publication statusPublished - 1 Feb 2022

    Keywords

    • Algorithm
    • Battery
    • Bibliometric analysis
    • Energy storage
    • Grid
    • Lithium-ion

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