Skip to main content

Advertisement

SpringerLink
Log in

An Integrated Decision-Making Approach with Golden Cut and Bipolar q-ROFSs to Renewable Energy Storage Investments

  • Published:
International Journal of Fuzzy Systems Aims and scope Submit manuscript

Abstract

A new hybrid fuzzy decision-making model is created in this study to evaluate significant factors of renewable energy storage investments and select the appropriate energy types. The factors are analyzed with golden cut-oriented bipolar q-rung orthopair fuzzy (q-ROF) multi-stepwise weight assessment ratio analysis (M-SWARA). Moreover, alternatives are examined by golden cut-oriented bipolar q-ROF elimination and choice translating reality (ELECTRE). The calculations are also made with IFSs and PFSs to measure the reliability. This study gives a novel approach to selection problem of renewable energy storage investments with golden cut, bipolar, and q-ROFSs. It is identified that capacity protection has the greatest weight with respect to the storage investments. Additionally, regarding the ranking results, solar is the best clean energy alternative for the energy storage. Hence, investors should give priorities avoiding the delays with the full capacity of renewable energy production. Minimizing the energy loss in the energy storage process will contribute to the increase in performance. In this way, it will be possible to ensure sustainability by increasing the profitability of the projects. It would be the right decision for investors to prioritize solar energy projects to increase their energy storage efficiency. Especially in recent years, very important technological developments have occurred for energy storage process in solar energy projects. Therefore, by prioritizing the solar energy for this purpose, the sustainability of the energy projects can be provided.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Data Availability

Not applicable.

Code Availability

Not applicable.

References

  1. Mukhtarov, S., Yüksel, S., Dinçer, H.: The impact of financial development on renewable energy consumption: evidence from Turkey. Renew. Energy. 187, 169–176 (2022)

    Article  Google Scholar 

  2. Ma, F., Liu, L., Ma, L., Zhang, Q., Li, J., Jing, M., Tan, W.: Enhanced thermal energy storage performance of hydrous salt phase change material via defective graphene. J. Energy Storage 48, 104064 (2022)

    Article  Google Scholar 

  3. Jamadar, N.M., Bhagat, A., Gaikwad, S., Honmane, V., Patil, P.: Reliability assessment of supercapacitor for electric vehicle with hybrid energy storage. Life Cycle Reliab. Saf. Eng. (2022). https://doi.org/10.1007/s41872-022-00184-5

    Article  Google Scholar 

  4. Trivedi, G.V.N., Parameshwaran, R.: Micro/nanoencapsulation of dimethyl adipate with melamine formaldehyde shell as phase change material slurries for cool thermal energy storage. Chem. Thermodyn. Therm. Anal. 6, 100037 (2022)

    Article  Google Scholar 

  5. Wang, Q., Dai, J., Xu, Z.: A new three-way multi-criteria decision-making method with fuzzy complementary preference relations based on additive consistency. Inf. Sci. 592, 297–305 (2022)

    Article  Google Scholar 

  6. Erol, I., Ar, I.M., Peker, I., Searcy, C.: Alleviating the impact of the barriers to circular economy adoption through blockchain: an investigation using an integrated MCDM-based QFD with hesitant fuzzy linguistic term sets. Comput. Ind. Eng. 165, 107962 (2022)

    Article  Google Scholar 

  7. Cheng, Q., Kang, Y., Yang, C., Zhang, C., Chen, C.: A new reliability allocation method for machine tools based on ITrFNs and AHP-GRA. Int. J. Adv. Manuf. Technol (2022). https://doi.org/10.1007/s00170-021-08153-5

    Article  Google Scholar 

  8. Bhunia, S., Ghorai, G., Xin, Q., Gulzar, M.: On the algebraic attributes of (α, β)-pythagorean fuzzy subrings and (α, β)-pythagorean fuzzy ideals of rings. IEEE Access 10, 1 (2022)

    Article  Google Scholar 

  9. Zhang, C., Bai, W., Li, D., Zhan, J.: Multiple attribute group decision making based on multigranulation probabilistic models, MULTIMOORA and TPOP in incomplete q-rung orthopair fuzzy information systems. Int. J. Approx. Reason. 143, 102–120 (2022)

    Article  MATH  Google Scholar 

  10. Mahon, H., O’Connor, D., Friedrich, D., Hughes, B.: A review of thermal energy storage technologies for seasonal loops. Energy 239, 122207 (2022)

    Article  Google Scholar 

  11. Liu, Z., Kim, D., Gundersen, T.: Optimal recovery of thermal energy in liquid air energy storage. Energy 240, 122810 (2022)

    Article  Google Scholar 

  12. Swain, P., Shyamaprasad, A.: Energy storage technologies: past, present and future. In: ISUW 2019, pp. 179–195. Springer, Singapore (2022)

    Chapter  Google Scholar 

  13. Golombek, R., Lind, A., Ringkjøb, H.K., Seljom, P.: The role of transmission and energy storage in European decarbonization towards 2050. Energy 239, 122159 (2022)

    Article  Google Scholar 

  14. Li, X., Palazzolo, A.: A review of flywheel energy storage systems: state of the art and opportunities. J. Energy Storage 46, 103576 (2022)

    Article  Google Scholar 

  15. Qiao, L., Fang, M., Liu, S., Zhang, H., Ma, X.: New-generation iron-titanium flow batteries with low cost and ultrahigh stability for stationary energy storage. Chem. Eng. J. 1, 134588 (2022)

    Article  Google Scholar 

  16. Topalović, Z., Haas, R., Ajanović, A., Hiesl, A.: Economics of electric energy storage. The case of Western Balkans. Energy 238, 121669 (2022)

    Article  Google Scholar 

  17. Zhang, T., She, X., You, Z., Zhao, Y., Fan, H., Ding, Y.: Cryogenic thermoelectric generation using cold energy from a decoupled liquid air energy storage system for decentralised energy networks. Appl. Energy 305, 117749 (2022)

    Article  Google Scholar 

  18. Dini, A., Hassankashi, A., Pirouzi, S., Lehtonen, M., Arandian, B., Baziar, A.A.: A flexible-reliable operation optimization model of the networked energy hubs with distributed generations, energy storage systems and demand response. Energy 239, 121923 (2022)

    Article  Google Scholar 

  19. Mao, J., Jafari, M., Botterud, A.: Planning low-carbon distributed power systems: evaluating the role of energy storage. Energy 238, 121668 (2022)

    Article  Google Scholar 

  20. Smolenski, R., Szczesniak, P., Drozdz, W., Kasperski, L.: Advanced metering infrastructure and energy storage for location and mitigation of power quality disturbances in the utility grid with high penetration of renewables. Renew. Sustain. Energy Rev. 157, 111988 (2022)

    Article  Google Scholar 

  21. Wang, T., Ao, L., Wang, B., Ding, S., Wang, K., Yao, F., Daemen, J.J.K.: Tightness of an underground energy storage salt cavern with adverse geological conditions. Energy 238, 121906 (2022)

    Article  Google Scholar 

  22. Li, C., Zhang, L., Ou, Z., Wang, Q., Zhou, D., Ma, J.: Robust model of electric vehicle charging station location considering renewable energy and storage equipment. Energy 238, 121713 (2022)

    Article  Google Scholar 

  23. Quirosa, G., Torres, M., Chacartegui, R.: Analysis of the integration of photovoltaic excess into a 5th generation district heating and cooling system for network energy storage. Energy 239, 122202 (2022)

    Article  Google Scholar 

  24. Hosseini, S.A., Toulabi, M., Ashouri-Zadeh, A., Ranjbar, A.M.: Battery energy storage systems and demand response applied to power system frequency control. Int. J. Electr. Power Energy Syst. 136, 107680 (2022)

    Article  Google Scholar 

  25. Shoeibi, S., Kargarsharifabad, H., Mirjalily, S.A.A., Muhammad, T.: Solar district heating with solar desalination using energy storage material for domestic hot water and drinking water–environmental and economic analysis. Sustain. Energy Technol. Assess. 49, 101713 (2022)

    Google Scholar 

  26. Mevada, D., Panchal, H., Ahmadein, M., Zayed, M.E., Alsaleh, N.A., Djuansjah, J., Sadasivuni, K.K.: Investigation and performance analysis of solar still with energy storage materials: an energy-exergy efficiency analysis. Case Stud. Therm. Eng. 29, 101687 (2022)

    Article  Google Scholar 

  27. Han, D., Lougou, B.G., Shuai, Y., Wang, W., Jiang, B., Shagdar, E.: Study of thermophysical properties of chloride salts doped with CuO nanoparticles for solar thermal energy storage. Sol. Energy Mater. Sol. Cells 234, 111432 (2022)

    Article  Google Scholar 

  28. Pein, M., Matzel, L., de Oliveira, L., Alkan, G., Francke, A., Mechnich, P., Sattler, C.: Reticulated porous perovskite structures for thermochemical solar energy storage. Adv. Energy Mater. 1, 2102882 (2022)

    Article  Google Scholar 

  29. Rufuss, D.D.W., Arulvel, S., Kumar, V.A., Davies, P.A., Arunkumar, T., Sathyamurthy, R., Hiwarkar, V.V.: Combined effects of composite thermal energy storage and magnetic field to enhance productivity in solar desalination. Renew. Energy 181, 219–234 (2022)

    Article  Google Scholar 

  30. Zhou, X., Xu, H., Xiang, D., Chen, J., Xiao, G.: Design and modeling of a honeycomb ceramic thermal energy storage for a solar thermal air-Brayton cycle system. Energy 239, 122405 (2022)

    Article  Google Scholar 

  31. MansourLakouraj, M., Shahabi, M., Shafie-khah, M., Catalão, J.P.: Optimal market-based operation of microgrid with the integration of wind turbines, energy storage system and demand response resources. Energy 239, 122156 (2022)

    Article  Google Scholar 

  32. Emrani, A., Berrada, A., Bakhouya, M.: Optimal sizing and deployment of gravity energy storage system in hybrid PV-wind power plant. Renew. Energy 183, 12–27 (2022)

    Article  Google Scholar 

  33. Fleming, M.R., Adams, B.M., Ogland-Hand, J.D., Bielicki, J.M., Kuehn, T.H., Saar, M.O.: Flexible CO2-plume geothermal (CPG-F): using geologically stored CO2 to provide dispatchable power and energy storage. Energy Convers. Manag. 253, 115082 (2022)

    Article  Google Scholar 

  34. Boretti, A.: Enhanced geothermal systems (EGS) a key component of a renewable energy-only grid. Arab. J. Geosci. 15(1), 1–14 (2022)

    Article  Google Scholar 

  35. Atanassov, K.T.: Intuitionistic fuzzy sets. In: Intuitionistic Fuzzy Sets, pp. 1–137. Physica, Heidelberg (1999)

    Chapter  MATH  Google Scholar 

  36. Yager, R.R.: Pythagorean fuzzy subsets. In: 2013 joint IFSA world congress and NAFIPS annual meeting (IFSA/NAFIPS), pp. 57–61. IEEE, June, 2013

  37. Yager, R.R.: Generalized orthopair fuzzy sets. IEEE Trans. Fuzzy Syst. 25(5), 1222–2123 (2016)

    Article  Google Scholar 

  38. Zhang, W.R.: Bipolar fuzzy sets and relations: a computational framework for cognitive modeling and multiagent decision analysis. In: NAFIPS/IFIS/NASA'94. Proceedings of the First International Joint Conference of the North American Fuzzy Information Processing Society Biannual Conference. The Industrial Fuzzy Control and Intelligent, pp. 305–309. IEEE, December, 1994

  39. Hu, J., Liu, D., Du, C., Yan, F., Lv, C.: Intelligent energy management strategy of hybrid energy storage system for electric vehicle based on driving pattern recognition. Energy 198, 117298 (2020)

    Article  Google Scholar 

  40. Keršuliene, V., Zavadskas, E.K., Turskis, Z.: Selection of rational dispute resolution method by applying new step-wise weight assessment ratio analysis (SWARA). J. Bus. Econ. Manag. 11(2), 243–258 (2010)

    Article  Google Scholar 

  41. Benayoun, R., Roy, B., Sussman, B.: ELECTRE: Une méthode pour guider le choix en présence de points de vue multiples. Note Travail 49, 1 (1966)

    Google Scholar 

  42. Lin, Z., Chen, Y., Liu, Z., Wang, G., Rémiens, D., Dong, X.: Large energy storage density, low energy loss and highly stable (Pb0.97La0.02)(Zr0.66Sn0.23Ti0.11) O3 antiferroelectric thin-film capacitors. J. Eur. Ceram. Soc. 38(9), 3177–3181 (2018)

    Article  Google Scholar 

  43. Xiong, R., Cao, J., Yu, Q.: Reinforcement learning-based real-time power management for hybrid energy storage system in the plug-in hybrid electric vehicle. Appl. Energy 211, 538–548 (2018)

    Article  Google Scholar 

  44. Upasani, M., Patil, S.: Grid connected solar photovoltaic system with battery storage for energy management. In: 2018 2nd International Conference on Inventive Systems and Control (ICISC), pp. 438–443. IEEE, January, 2018

  45. Asgharian, H., Baniasadi, E.: A review on modeling and simulation of solar energy storage systems based on phase change materials. J. Energy Storage 21, 186–201 (2019)

    Article  Google Scholar 

Download references

Funding

No funding was received for conducting this study.

Author information

Authors and Affiliations

  1. The School of Economics and Management, Yiwu Industrial & Commercial College, Yiwu, China

    Xiaoqin Xu

  2. The School of Business, İstanbul Medipol University, Istanbul, Turkey

    Serhat Yüksel & Hasan Dinçer

Authors
  1. Xiaoqin Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Serhat Yüksel
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Hasan Dinçer
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Xiaoqin Xu or Hasan Dinçer.

Ethics declarations

Conflict of interest

The authors have no conflicts of interest to declare.

Ethical Approval

Not applicable.

Informed Consent

Not applicable.

Consent for Publication

Not applicable.

Appendix

Appendix

Table A1 Comparison of the Studies in the Literature
Full size table

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xu, X., Yüksel, S. & Dinçer, H. An Integrated Decision-Making Approach with Golden Cut and Bipolar q-ROFSs to Renewable Energy Storage Investments. Int. J. Fuzzy Syst. 25, 168–181 (2023). https://doi.org/10.1007/s40815-022-01372-2

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40815-022-01372-2

Keywords

Search

Navigation