COMPREHENSIVE DISTANCE-BASED RANKING METHOD FOR EVALUATING HYDRAULIC CONVERTERS IN TIDAL STREAM TURBINES UTILIZING PICTURE FERMATEAN FUZZY SET

Daekook Kang, Krishnan Suvitha, Samayan Narayanamoorthy

DOI Number
10.22190/FUME240730046K
First page
Last page

Abstract


In recent years, advancements in hydrokinetic technology and the growing demand for renewable energy have heightened interest in water-based energy extraction. This study proposes a new fuzzy information representation technique, Probabilistic Picture Fermatean Fuzzy Sets (PPFFSs), to investigate the selection of hydrokinetic energy harnessing technologies (HEHT) for various marine and river-based applications. To address the complexity of multiple criteria and alternatives, we developed a new integrated multi-criteria decision-making (MCDM) model that incorporates logarithmic percentage change-driven objective weighting (LOPCOW) and comprehensive distance-based ranking (COBRA) approaches. We define PPFFS as the definition of basic functions and the provision of information scoring and accurate operational processes. According to the results, the efficiency factor is the most important criterion, and the Seagen tidal stream turbine outperforms all other tidal turbines. The findings are supported by experimental data from the HEHT and a comparison of how two hydrokinetic energy converters can improve efficiency. As a result, hydrokinetic systems are one of the greatest sustainable energy solutions for distant communities and small-scale applications.


Keywords

Multi criteria decision making, Hydraulic converter, Tidal stream turbine, Picture Fermatean fuzzy set, Comprehensive distance based ranking

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References


Dong, Y., Yan, Y., Xu, S., et al., 2023, An adaptive yaw method of horizontal-axis tidal stream turbines for bidirectional energy capture, Energy, 282, 128918.

Li, X., Li, M., Wolf, J., et al., 2024, Local and regional interactions between tidal stream turbines and coastal environment, Renewable Energy, 229, 120665.

Toumi, S., Amirat, Y., Elbouchikhi, E., et al., 2023, Techno-economic optimal sizing design for a tidal stream turbine battery system, Journal of Marine Science and Engineering, 11(3), 679.

Dai, P., Huang, Z., Zhang, J., 2023, A modelling study of the tidal stream resource around Zhoushan Archipelago, China. Renewable Energy, 218, 119234.

Zhang, Y., Zang, W., Zheng, J., et al., 2021, The influence of waves propagating with the current on the wake of a tidal stream turbine, Applied Energy, 290, 116729.

Khalid, S.S., Shah, Z.L.N., 2013, Research article harnessing tidal energy using vertical axis tidal turbine, Research Journal of Applied Sciences, Engineering and Technology, 5(1), pp. 239-252.

Hussain, A., Ullah, K., 2024, An intelligent decision support system for spherical fuzzy sugeno-weber aggregation operators and real-life applications, Spectrum of Mechanical Engineering and Operational Research, 1(1), pp. 177-188.

Chai, N., Zhou, W., Jiang, Z., 2023, Sustainable supplier selection using an intuitionistic and interval-valued fuzzy MCDM approach based on cumulative prospect theory, Information Sciences, 626, pp. 710-737.

Phulara, S., Kumar, A., Narang, M., et al., 2024, A novel hybrid grey-BCM approach in multi-criteria decision making: An application in OTT platform, Journal of Decision Analytics and Intelligent Computing, 4(1), pp. 1–15.

Tadic, S., Krstic, M., Radovanovic, L., 2024, Assessing strategies to overcome barriers for drone usage in last-mile logistics: A novel hybrid fuzzy MCDM model, Mathematics, 12(3), 367.

Verma, R., Koul, S., Ajaygopal, K.V., 2024, Evaluation and selection of a cyber- security platform case of the power sector in India, Decision Making: Applications in Management and Engineering, 7(1), pp. 209-236.

Krstic, M., Agnusdei, G.P., Miglietta, P.P., et al., 2022, Applicability of industry 4.0 technologies in the reverse logistics: a circular economy approach based on comprehensive distance based ranking (COBRA) method, Sustainability, 14(9), 5632.

Noorollahi, Y., Ziabakhsh Ganji, M.J., Rezaei, M., et al., 2021, Analysis of turbulent flow on tidal stream turbine by RANS and BEM, Computer Modeling in Engineering and Sciences, 127(2), pp. 515-532.

Lin, J., Lin, B., Sun, J., et al.., 2021, Wake structure and mechanical energy transformation induced by a horizontal axis tidal stream turbine, Renewable Energy, 171, pp. 1344-1356.

Chen, J.H., Wang, X.C., Li, H., et al., 2020, Design of the blade under low flow velocity for horizontal axis tidal current turbine, Journal of Marine Science and Engineering, 8(12), 989.

Solangi, Y.A., Longsheng, C., Shah, S.A.A., 2021, Assessing and overcoming the renewable energy barriers for sustainable development in Pakistan: An integrated AHP and fuzzy TOPSIS approach, Renewable Energy, 173, pp. 209-222.

Kizielewicz, B., Sałabun, W., 2024, SITW method: A new approach to re-identifying multi-criteria weights in complex decision analysis, Spectrum of Mechanical Engineering and Operational Research, 1(1), pp. 215-226.

Zhang, Z., Zhang, Y., Zheng, Y., et al., 2023, Power fluctuation and wake characteristics of tidal stream turbine subjected to wave and current interaction, Energy, 264, 126185.

Ouro, P., Dené, P., Garcia-Novo, P., et al., 2023, Power density capacity of tidal stream turbine arrays with horizontal and vertical axis turbines, Journal of Ocean Engineering and Marine Energy, 9(2), pp. 203-218.

Kuznetsov, V.P., Tatarintsev, I.V., Voropaev, V.V., et al., 2024, Selection of optimal technological parameters for forming nominally flat surfaces with lubricating microcavities, Facta Universitatis-Series Mechanical Engineering, 22(3), pp. 459-471.

Brutto, O.A.L., Guillou, S.S., Thiébot, J., et al., 2017, Assessing the effectiveness of a global optimum strategy within a tidal farm for power maximization, Applied Energy, 204, pp. 653-666.

Chen, K., Tan, J., Zhu, C., et al., 2024, A generalized TODIM evaluation approach based on the novel score function and trust network under interval-valued hesitant fuzzy environment, Expert Systems with Applications, 255, 124637.

Aydın, T., Enginoglu, S., 2021, Interval-valued intuitionistic fuzzy parameterized interval-valued intuitionistic fuzzy soft sets and their application in decision-making, Journal of Ambient Intelligence and Humanized Computing, 12(1), pp. 1541-1558.

Zeng, W., Xi, Y., Yin, Q., et al., 2021, Weighted dual hesitant fuzzy set and its application in group decision making. Neurocomputing, 458, pp. 714-726.

Das, S., Roy, B.K., Kar, M.B., et al., 2020, Neutrosophic fuzzy set and its application in decision making, Journal of Ambient Intelligence and Humanized Computing, 11, pp. 5017-5029.

Radovanović, M., Petrovski, A., Cirkin, E., et al, 2024, Application of the new hybrid model LMAW-G-EDAS multi-criteria decision-making when choosing an assault rifle for the needs of the army, Journal of Decision Analytics and Intelligent Computing, 4(1), pp. 16-31.

Rahman, K., Garg, H., Ali, R., et al., 2023, Algorithms for decision-making process using complex Pythagorean fuzzy set and its application to hospital siting for COVID-19 patients, Engineering Applications of Artificial Intelligence, 126, 107153.

Khan, M.A., Ashraf, S., Abdullah, S., et al., 2020, Applications of probabilistic hesitant fuzzy rough set in decision support system, Soft Computing, 24, pp. 16759-16774.

Elraaid, U., Badi, I., Bouraima, M.B., 2024, Identifying and addressing obstacles to PMO success in construction projects: An AHP approach, Spectrum of Decision Making and Applications, 1(1), pp. 33-45.

Senapati, T., Yager, R.R., 2020, Fermatean fuzzy sets, Journal of Ambient Intelligence and Humanized Computing, 11, pp. 663-674.

Akram, M., Amjad, U., Alcantud, J.C.R., 2023, Complex fermatean fuzzy N-soft sets: a new hybrid model with applications, Journal of Ambient Intelligence and Humanized Computing, 14(7), pp. 8765-8798.

Gao, X., Deng, Y., 2021, Generating method of Pythagorean fuzzy sets from the negation of probability, Engineering Applications of Artificial Intelligence, 105, 104403.

Balezentis, T., Siksnelyte-Butkiene, I., Streimikiene, D., 2021, Stakeholder involvement for sustainable energy development based on uncertain group decision making: prioritizing the renewable energy heating technologies and the BWM- WASPAS-IN approach, Sustainable Cities and Society, 73, 103114.

Narayanamoorthy, S., Manirathinam, T., Geetha, S., et al., 2022, An approach to assess PWR methods to cope with physical barriers on plastic waste disposal and exploration from developing nations, Expert Systems with Applications, 207, 117996.

Kang, D., Manirathinam, T., Geetha, S., et al., 2023, An advanced stratified decision-making strategy to explore viable plastic waste-to-energy method: a step towards sustainable dumped wastes management, Applied Soft Computing, 143, 110452.

Abbasi, H., Yaghoobi, M., 2023, Optimized cascade chaotic fuzzy system (OC- CFS) and its application to function approximation and chaotic systems identification, Soft Computing, 27(13), pp. 8561-8582.

Yazdi, A. K., Komasi, H., 2024, Best practice performance of COVID-19 in America continent with artificial intelligence, Spectrum of Operational Research, 1(1), pp. 1-13.

Alamoodi, A.H., Zaidan, B.B., Albahri, O.S., et al., 2023, Systematic review of MCDM approach applied to the medical case studies of COVID-19: trends, bibliographic analysis, challenges, motivations, recommendations, and future directions, Complex and Intelligent Systems, 9(4), pp. 4705-4731.

Luqman, A., Shahzadi, G., 2023, Multi-criteria group decision-making based on the interval-valued q-rung orthopair fuzzy SIR approach for green supply chain evaluation and selection, Granular Computing, 8(6), pp. 1937-1954.

Guo, X., Ji, J., Khan, F., et al., 2021, A novel fuzzy dynamic Bayesian network for dynamic risk assessment and uncertainty propagation quantification in uncertainty environment, Safety Science, 141, 105285.

Bakioglu, G., Atahan, A.O., 2021, AHP integrated TOPSIS and VIKOR methods with Pythagorean fuzzy sets to prioritize risks in self-driving vehicles, Applied Soft Computing, 99, 106948.

Abdul, D., Wenqi, J., Tanveer, A., 2022, Prioritization of renewable energy source for electricity generation through AHP-VIKOR integrated methodology, Renewable Energy, 184, pp. 1018-1032.

Alvarez, P.A., Ishizaka, A., Martínez, L., 2021, Multiple-criteria decision-making sorting methods: A survey, Expert Systems with Applications, 183, 115368.

Natarajan, E., Augustin, F., Saraswathy, R., et al., 2024, A bipolar intuitionistic fuzzy decision-making model for selection of effective diagnosis method of tuberculosis, Acta Tropica, 252, 107132.

Celikbilek, Y., Tüysüz, F., 2020, An in-depth review of theory of the TOPSIS method: An experimental analysis, Journal of Management Analytics, 7(2), pp. 281-300.

Zhou, L.P., Wan, S.P., Dong, J.Y., et al., 2022, A fermatean fuzzy ELECTRE method for multi-criteria group decision-making, Informatica, 33(1), pp. 181-224.

Yang, X., Chen, Z., 2023, A hybrid approach based on Monte Carlo simulation-VIKOR method for water quality assessment, Ecological Indicators, 150, 110202.

Zhang, J., Zhang, C., Angeloudis, A., et al., 2022, Interactions between tidal stream turbine arrays and their hydrodynamic impact around Zhoushan Island, China, Ocean Engineering, 246, 110431.

Stansby, P. K., Ouro, P., 2022, Modelling marine turbine arrays in tidal flows, Journal of Hydraulic Research, 60(2), pp. 187-204.

Krstic, M., Agnusdei, G. P., Miglietta, P.P., et al., 2022, Evaluation of the smart reverse logistics development scenarios using a novel MCDM model, Cleaner Environmental Systems, 7, 100099.

Aminifar, F., Rahmatian, F. 2020, Unmanned aerial vehicles in modern power systems: Technologies, use cases, outlooks, and challenges, IEEE Electrification Magazine, 8(4), pp. 107-116.

Rashedi, A., Khanam, T., Jeong, B., et al., 2022, Evaluation of environmental sustainability matrix of Deepgen tidal turbine, Ocean Engineering, 266, 113031.


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ISSN: 2335-0164 (Online)

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