IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i20p7782-d948773.html
   My bibliography  Save this article

Assessment of Battery Energy Storage Systems Using the Intuitionistic Fuzzy Removal Effects of Criteria and the Measurement of Alternatives and Ranking Based on Compromise Solution Method

Author

Listed:
  • Arunodaya Raj Mishra

    (Department of Mathematics, Government College Raigaon, Satna 485441, Madhya Pradesh, India)

  • Dinesh Kumar Tripathi

    (Department of Mathematics, Government Autonomous Post Graduate College Satna, Satna 485001, Madhya Pradesh, India)

  • Fausto Cavallaro

    (Department of Economics, University of Molise, Via De Sanctis, 86100 Campobasso, Italy)

  • Pratibha Rani

    (Department of Engineering Mathematics, Koneru Lakshmaiah Educational Foundation, Vaddeswaram 522302, Andhra Pradesh, India)

  • Santosh K. Nigam

    (Department of Mathematics, Government Autonomous Post Graduate College Satna, Satna 485001, Madhya Pradesh, India)

  • Abbas Mardani

    (Muma Business School, University of South Florida (USF), Tampa, FL 33612, USA)

Abstract

The energy storage is an important character for sustainable energy structures and the prospective future economy. This paper aims to propose a multi-attribute decision analysis (MADA) approach to prioritize and choose the energy storage system (ESS) alternatives in terms of the different technical, economic, environmental and social aspects of them. In this line, an integrated approach is developed with the combination of intuitionistic fuzzy sets (IFSs), a method using the removal effects of criteria (MEREC), rank sum (RS) and the measurement of the alternatives and ranking based on compromise solution (MARCOS) methods for prioritizing the ESSs. The IF-MEREC-RS was used to find the integrated weight by combining the objective and subjective weights of the different indicators for prioritizing the ESSs. The MARCOS method was implemented to rank the various ESSs over several crucial indicators of sustainability. The practical outcome illustrates that the Li-ion battery (LIB) is the best ESS among all of the options, and this is followed by NaSB and NiMHB. A sensitivity investigation with the diverse weights of the indicators shows the impact of the risk preferences on an alternative prioritization. A comparison is discussed with the outcomes of the different presented, extant approaches to certify the superiority of the presented approach.

Suggested Citation

  • Arunodaya Raj Mishra & Dinesh Kumar Tripathi & Fausto Cavallaro & Pratibha Rani & Santosh K. Nigam & Abbas Mardani, 2022. "Assessment of Battery Energy Storage Systems Using the Intuitionistic Fuzzy Removal Effects of Criteria and the Measurement of Alternatives and Ranking Based on Compromise Solution Method," Energies, MDPI, vol. 15(20), pages 1-23, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:20:p:7782-:d:948773
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/20/7782/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/20/7782/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gai-Li Xu & Shu-Ping Wan & Xiao-Lan Xie, 2015. "A Selection Method Based on MAGDM with Interval-Valued Intuitionistic Fuzzy Sets," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-13, June.
    2. Miomir Stanković & Željko Stević & Dillip Kumar Das & Marko Subotić & Dragan Pamučar, 2020. "A New Fuzzy MARCOS Method for Road Traffic Risk Analysis," Mathematics, MDPI, vol. 8(3), pages 1-18, March.
    3. Ibrahim, H. & Ilinca, A. & Perron, J., 2008. "Energy storage systems--Characteristics and comparisons," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(5), pages 1221-1250, June.
    4. Bizon, Nicu, 2018. "Effective mitigation of the load pulses by controlling the battery/SMES hybrid energy storage system," Applied Energy, Elsevier, vol. 229(C), pages 459-473.
    5. Hall, Peter J. & Bain, Euan J., 2008. "Energy-storage technologies and electricity generation," Energy Policy, Elsevier, vol. 36(12), pages 4352-4355, December.
    6. Zhu, Wenhua H. & Zhu, Ying & Davis, Zenda & Tatarchuk, Bruce J., 2013. "Energy efficiency and capacity retention of Ni–MH batteries for storage applications," Applied Energy, Elsevier, vol. 106(C), pages 307-313.
    7. Nojavan, Sayyad & Majidi, Majid & Esfetanaj, Naser Nourani, 2017. "An efficient cost-reliability optimization model for optimal siting and sizing of energy storage system in a microgrid in the presence of responsible load management," Energy, Elsevier, vol. 139(C), pages 89-97.
    8. Li, Jianwei & Yang, Qingqing & Robinson, Francis. & Liang, Fei & Zhang, Min & Yuan, Weijia, 2017. "Design and test of a new droop control algorithm for a SMES/battery hybrid energy storage system," Energy, Elsevier, vol. 118(C), pages 1110-1122.
    9. Zhang, Weiping & Maleki, Akbar & Rosen, Marc A. & Liu, Jingqing, 2018. "Optimization with a simulated annealing algorithm of a hybrid system for renewable energy including battery and hydrogen storage," Energy, Elsevier, vol. 163(C), pages 191-207.
    10. Anna I. Pózna & Katalin M. Hangos & Attila Magyar, 2019. "Temperature Dependent Parameter Estimation of Electrical Vehicle Batteries," Energies, MDPI, vol. 12(19), pages 1-18, September.
    11. Punys, Petras & Baublys, Raimundas & Kasiulis, Egidijus & Vaisvila, Andrius & Pelikan, Bernhard & Steller, Janusz, 2013. "Assessment of renewable electricity generation by pumped storage power plants in EU Member States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 190-200.
    12. Henok Ayele Behabtu & Maarten Messagie & Thierry Coosemans & Maitane Berecibar & Kinde Anlay Fante & Abraham Alem Kebede & Joeri Van Mierlo, 2020. "A Review of Energy Storage Technologies’ Application Potentials in Renewable Energy Sources Grid Integration," Sustainability, MDPI, vol. 12(24), pages 1-20, December.
    13. Alev Taskin Gumus & A. Yesim Yayla & Erkan Çelik & Aytac Yildiz, 2013. "A Combined Fuzzy-AHP and Fuzzy-GRA Methodology for Hydrogen Energy Storage Method Selection in Turkey," Energies, MDPI, vol. 6(6), pages 1-16, June.
    14. György Károlyi & Anna I. Pózna & Katalin M. Hangos & Attila Magyar, 2022. "An Optimized Fuzzy Controlled Charging System for Lithium-Ion Batteries Using a Genetic Algorithm," Energies, MDPI, vol. 15(2), pages 1-23, January.
    15. Baker, John, 2008. "New technology and possible advances in energy storage," Energy Policy, Elsevier, vol. 36(12), pages 4368-4373, December.
    16. Zhao, Haoran & Guo, Sen & Zhao, Huiru, 2019. "Comprehensive assessment for battery energy storage systems based on fuzzy-MCDM considering risk preferences," Energy, Elsevier, vol. 168(C), pages 450-461.
    17. Ibrahim M. Hezam & Arunodaya Raj Mishra & Pratibha Rani & Fausto Cavallaro & Abhijit Saha & Jabir Ali & Wadim Strielkowski & Dalia Štreimikienė, 2022. "A Hybrid Intuitionistic Fuzzy-MEREC-RS-DNMA Method for Assessing the Alternative Fuel Vehicles with Sustainability Perspectives," Sustainability, MDPI, vol. 14(9), pages 1-32, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Arunodaya Raj Mishra & Pratibha Rani & Dragan Pamucar & Abhijit Saha, 2024. "An integrated Pythagorean fuzzy fairly operator-based MARCOS method for solving the sustainable circular supplier selection problem," Annals of Operations Research, Springer, vol. 342(1), pages 523-564, November.
    2. Kara, Karahan & Yalçın, Galip Cihan & Acar, Avni Zafer & Simic, Vladimir & Konya, Serkan & Pamucar, Dragan, 2024. "The MEREC-AROMAN method for determining sustainable competitiveness levels: A case study for Turkey," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhao, Haoran & Guo, Sen & Zhao, Huiru, 2019. "Comprehensive assessment for battery energy storage systems based on fuzzy-MCDM considering risk preferences," Energy, Elsevier, vol. 168(C), pages 450-461.
    2. Luo, Xing & Wang, Jihong & Dooner, Mark & Clarke, Jonathan, 2015. "Overview of current development in electrical energy storage technologies and the application potential in power system operation," Applied Energy, Elsevier, vol. 137(C), pages 511-536.
    3. Zakeri, Behnam & Syri, Sanna, 2015. "Electrical energy storage systems: A comparative life cycle cost analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 569-596.
    4. Haoran Zhao & Sen Guo & Huiru Zhao, 2018. "Comprehensive Performance Assessment on Various Battery Energy Storage Systems," Energies, MDPI, vol. 11(10), pages 1-26, October.
    5. Díaz-González, Francisco & Sumper, Andreas & Gomis-Bellmunt, Oriol & Villafáfila-Robles, Roberto, 2012. "A review of energy storage technologies for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2154-2171.
    6. Zhou, Zhibin & Benbouzid, Mohamed & Frédéric Charpentier, Jean & Scuiller, Franck & Tang, Tianhao, 2013. "A review of energy storage technologies for marine current energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 390-400.
    7. Javed, Muhammad Shahzad & Ma, Tao & Jurasz, Jakub & Amin, Muhammad Yasir, 2020. "Solar and wind power generation systems with pumped hydro storage: Review and future perspectives," Renewable Energy, Elsevier, vol. 148(C), pages 176-192.
    8. Shkolnikov, E.I. & Zhuk, A.Z. & Vlaskin, M.S., 2011. "Aluminum as energy carrier: Feasibility analysis and current technologies overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4611-4623.
    9. Poullikkas, Andreas, 2013. "A comparative overview of large-scale battery systems for electricity storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 778-788.
    10. Yekini Suberu, Mohammed & Wazir Mustafa, Mohd & Bashir, Nouruddeen, 2014. "Energy storage systems for renewable energy power sector integration and mitigation of intermittency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 499-514.
    11. Argyrou, Maria C. & Christodoulides, Paul & Kalogirou, Soteris A., 2018. "Energy storage for electricity generation and related processes: Technologies appraisal and grid scale applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 804-821.
    12. Javed, Muhammad Shahzad & Ma, Tao & Jurasz, Jakub & Canales, Fausto A. & Lin, Shaoquan & Ahmed, Salman & Zhang, Yijie, 2021. "Economic analysis and optimization of a renewable energy based power supply system with different energy storages for a remote island," Renewable Energy, Elsevier, vol. 164(C), pages 1376-1394.
    13. Wade, N.S. & Taylor, P.C. & Lang, P.D. & Jones, P.R., 2010. "Evaluating the benefits of an electrical energy storage system in a future smart grid," Energy Policy, Elsevier, vol. 38(11), pages 7180-7188, November.
    14. Rabiee, Abdorreza & Khorramdel, Hossein & Aghaei, Jamshid, 2013. "A review of energy storage systems in microgrids with wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 316-326.
    15. Bizon, Nicu, 2019. "Hybrid power sources (HPSs) for space applications: Analysis of PEMFC/Battery/SMES HPS under unknown load containing pulses," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 14-37.
    16. Arteconi, A. & Hewitt, N.J. & Polonara, F., 2012. "State of the art of thermal storage for demand-side management," Applied Energy, Elsevier, vol. 93(C), pages 371-389.
    17. Gallo, A.B. & Simões-Moreira, J.R. & Costa, H.K.M. & Santos, M.M. & Moutinho dos Santos, E., 2016. "Energy storage in the energy transition context: A technology review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 800-822.
    18. Parra, David & Patel, Martin K., 2016. "Effect of tariffs on the performance and economic benefits of PV-coupled battery systems," Applied Energy, Elsevier, vol. 164(C), pages 175-187.
    19. Wilson, Ian Allan Grant & McGregor, Peter G. & Hall, Peter J., 2010. "Energy storage in the UK electrical network: Estimation of the scale and review of technology options," Energy Policy, Elsevier, vol. 38(8), pages 4099-4106, August.
    20. Zhang, Ziyu & Ding, Tao & Zhou, Quan & Sun, Yuge & Qu, Ming & Zeng, Ziyu & Ju, Yuntao & Li, Li & Wang, Kang & Chi, Fangde, 2021. "A review of technologies and applications on versatile energy storage systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:20:p:7782-:d:948773. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.