Review of optimal methods and algorithms for sizing energy storage systems to achieve decarbonization in microgrid applications
Carbon; Decarbonization; Electric energy storage; Fossil fuels; Global warming; Renewable energy resources; Carbon emissions; Decarbonisation; Energy storage system; Method; Microgrid; Optimal energy; Optimization algorithms; Sizing; Storage systems; System sizings; Cost effectiveness
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2023
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my.uniten.dspace-252202023-05-29T16:07:25Z Review of optimal methods and algorithms for sizing energy storage systems to achieve decarbonization in microgrid applications Hannan M.A. Faisal M. Jern Ker P. Begum R.A. Dong Z.Y. Zhang C. 7103014445 57215018777 37461740800 14007780000 56608244300 57191096180 Carbon; Decarbonization; Electric energy storage; Fossil fuels; Global warming; Renewable energy resources; Carbon emissions; Decarbonisation; Energy storage system; Method; Microgrid; Optimal energy; Optimization algorithms; Sizing; Storage systems; System sizings; Cost effectiveness Carbon emission from the burning of fossil fuel has resulted in global warming. Climate change and global warming are among the most complex issues requiring immediate solutions. Microgrid (MG) based on renewable energy sources (RESs) can be used to reduce the carbon intensity of electricity and achieve the global decarbonization goal by 2050. Optimizing the size of the energy storage system (ESS) can ensure the sustainable, resilient, and economic operation of the MG. Thus, key features of the optimal ESS, including methods and algorithms of ESS sizing, power quality, reliability, connection mode, and public policy enforcement for low-carbon emission, must be identified. Existing literature mostly focuses on the cost-effective optimal sizing method based on capacity minimization, which overlooks other issues. This work reviews the features of optimal ESS sizing methods and algorithms, their characteristics, and the scenarios between ESS and decarbonization in MG applications to address their shortcomings. ESS characteristics on storage type, energy density, efficiency, advantages, and issues are analyzed. This review highlights details of ESS sizing to optimize storage capacity, reduce consumption, minimize storage cost, determine the optimal placement and mitigate carbon emission for decarbonization. The analyses on the understanding of decarbonization in relation to the use of ESS in MG scenarios are explained rigorously. Existing research gaps, issues, and challenges of ESS sizing for next-generation MG development are also highlighted. This review will strengthen the efforts of researchers and industrialists to develop an optimally sized ESS for future MGs that can contribute toward achieving the decarbonization goal. � 2020 Elsevier Ltd Final 2023-05-29T08:07:25Z 2023-05-29T08:07:25Z 2020 Review 10.1016/j.rser.2020.110022 2-s2.0-85087130223 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087130223&doi=10.1016%2fj.rser.2020.110022&partnerID=40&md5=6043de07cf68d0d17027d7cb87f77935 https://irepository.uniten.edu.my/handle/123456789/25220 131 110022 Elsevier Ltd Scopus |
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| description |
Carbon; Decarbonization; Electric energy storage; Fossil fuels; Global warming; Renewable energy resources; Carbon emissions; Decarbonisation; Energy storage system; Method; Microgrid; Optimal energy; Optimization algorithms; Sizing; Storage systems; System sizings; Cost effectiveness |
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7103014445 |
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7103014445 Hannan M.A. Faisal M. Jern Ker P. Begum R.A. Dong Z.Y. Zhang C. |
| format |
Review |
| author |
Hannan M.A. Faisal M. Jern Ker P. Begum R.A. Dong Z.Y. Zhang C. |
| spellingShingle |
Hannan M.A. Faisal M. Jern Ker P. Begum R.A. Dong Z.Y. Zhang C. Review of optimal methods and algorithms for sizing energy storage systems to achieve decarbonization in microgrid applications |
| author_sort |
Hannan M.A. |
| title |
Review of optimal methods and algorithms for sizing energy storage systems to achieve decarbonization in microgrid applications |
| title_short |
Review of optimal methods and algorithms for sizing energy storage systems to achieve decarbonization in microgrid applications |
| title_full |
Review of optimal methods and algorithms for sizing energy storage systems to achieve decarbonization in microgrid applications |
| title_fullStr |
Review of optimal methods and algorithms for sizing energy storage systems to achieve decarbonization in microgrid applications |
| title_full_unstemmed |
Review of optimal methods and algorithms for sizing energy storage systems to achieve decarbonization in microgrid applications |
| title_sort |
review of optimal methods and algorithms for sizing energy storage systems to achieve decarbonization in microgrid applications |
| publisher |
Elsevier Ltd |
| publishDate |
2023 |
| _version_ |
1806423499721408512 |
| score |
13.222552 |