Volume 4 , Issue 2 , PP: 22-33, 2024 | Cite this article as | XML | Html | PDF | Full Length Article
Durdona Uktamova 1 *
This work comprehensively evaluates onshore wind farms, focusing on their technological efficiency, environmental impact, economic viability, and societal implications. Onshore wind energy has emerged as a prominent renewable energy source, leveraging the kinetic power of wind to generate electricity on a substantial scale. The evaluation encompasses a detailed analysis of wind resource assessment, turbine technology, grid integration, environmental considerations, economic feasibility, and stakeholder engagement. Findings reveal that onshore wind farms exhibit commendable technological advancements, with modern turbines showcasing higher efficiency and capacity. Environmental assessments highlight their lower carbon footprint compared to conventional energy sources, albeit with considerations for land use and wildlife impacts. Economic evaluations emphasize the decreasing costs of wind energy, yet challenges persist concerning upfront investment and intermittency. Stakeholder engagement emerges as a crucial aspect, stressing the importance of community acceptance and regulatory compliance. The assessment illuminates the multifaceted aspects of onshore wind farms, underscoring their potential as a sustainable energy source while acknowledging the need to address technological, economic, and social barriers to widespread adoption. We used the multi-criteria decision-making (MCDM) model for evaluating the onshore wind farms. The Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH) method is used to rank the alternatives. The MCDM method used under single valued neutrosophic set (SVNS). The SVNS is used to overcoming the uncertainty in the evaluation process.
MCDM , Onshore Wind Farms , Decision Making , Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH) , Single Valued Neutrosophic Set. ,
[1] J. M. Sánchez-Lozano, M. S. García-Cascales, and M. T. Lamata, “Identification and selection of potential sites for onshore wind farms development in Region of Murcia, Spain,” Energy, vol. 73, pp. 311–324, 2014.
[2] B. K. Sovacool, P. Enevoldsen, C. Koch, and R. J. Barthelmie, “Cost performance and risk in the construction of offshore and onshore wind farms,” Wind Energy, vol. 20, no. 5, pp. 891–908, 2017.
[3] F. Haces-Fernandez, M. Cruz-Mendoza, and H. Li, “Onshore wind farm development: Technologies and layouts,” Energies, vol. 15, no. 7, p. 2381, 2022.
[4] P. Enevoldsen and S. V. Valentine, “Do onshore and offshore wind farm development patterns differ?,” Energy for Sustainable Development, vol. 35, pp. 41–51, 2016.
[5] X. Wu, W. Hu, Q. Huang, C. Chen, M. Z. Jacobson, and Z. Chen, “Optimizing the layout of onshore wind farms to minimize noise,” Applied Energy, vol. 267, p. 114896, 2020.
[6] D. Astolfi, F. Castellani, A. Garinei, and L. Terzi, “Data mining techniques for performance analysis of onshore wind farms,” Applied Energy, vol. 148, pp. 220–233, 2015.
[7] S. Grassi, S. Junghans, and M. Raubal, “Assessment of the wake effect on the energy production of onshore wind farms using GIS,” Applied Energy, vol. 136, pp. 827–837, 2014.
[8] X. Wu, W. Hu, Q. Huang, C. Chen, Z. Chen, and F. Blaabjerg, “Optimized placement of onshore wind farms considering topography,” Energies, vol. 12, no. 15, p. 2944, 2019.
[9] S. Carlos, A. Sánchez, S. Martorell, and I. Martón, “Onshore wind farms maintenance optimization using a stochastic model,” Mathematical and Computer Modelling, vol. 57, no. 7–8, pp. 1884–1890, 2013.
[10] S. Wang, S. Wang, and P. Smith, “Quantifying impacts of onshore wind farms on ecosystem services at local and global scales,” Renewable and Sustainable Energy Reviews, vol. 52, pp. 1424–1428, 2015.
[11] G. Ren, J. Liu, J. Wan, F. Li, Y. Guo, and D. Yu, “The analysis of turbulence intensity based on wind speed data in onshore wind farms,” Renewable energy, vol. 123, pp. 756–766, 2018.
[12] P. W. Saługa, K. Zamasz, Z. Dacko-Pikiewicz, K. Szczepańska-Woszczyna, and M. Malec, “Risk-adjusted discount rate and its components for onshore wind farms at the feasibility stage,” Energies, vol. 14, no. 20, p. 6840, 2021.
[13] J. R. F. Diógenes, J. Claro, J. C. Rodrigues, and M. V. Loureiro, “Barriers to onshore wind energy implementation: A systematic review,” Energy Research & Social Science, vol. 60, p. 101337, 2020.
[14] J. R. F. Diógenes, J. Claro, and J. C. Rodrigues, “Barriers to onshore wind farm implementation in Brazil,” Energy Policy, vol. 128, pp. 253–266, 2019.
[15] H. Garg, “A new exponential-logarithm-based single-valued neutrosophic set and their applications,” Expert Systems with Applications, vol. 238, p. 121854, 2024.
[16] S. Debnath, “Single-Valued Neutrosophic Covering-Based Rough Set Model Over Two Universes and Its Application in MCDM,” Neutrosophic Sets and Systems, vol. 53, no. 1, p. 29, 2023.
[17] X. Luo, Z. Wang, L. Yang, L. Lu, and S. Hu, “Sustainable supplier selection based on VIKOR with single-valued neutrosophic sets,” Plos one, vol. 18, no. 9, p. e0290093, 2023.
[18] H. Ran, “MABAC method for multiple attribute group decision making under single-valued neutrosophic sets and applications to performance evaluation of sustainable microfinance groups lending,” Plos one, vol. 18, no. 1, p. e0280239, 2023.
[19] K. M. Sallam and A. W. Mohamed, “Single Valued Neutrosophic Sets for Assessment Quality of Suppliers under Uncertainty Environment,” Multicriteria Algorithms with Applications, vol. 1, no. 1, pp. 1–10, 2023.
[20] G. Ramya, “Trigonometric Similarity Measures of Pythagorean Neutrosophic Hypersoft Sets,” Neutrosophic Systems with Applications, vol. 9, pp. 91–100, 2023.
[21] P. K. Singh, “Uncertainty analysis in document publications using single-valued neutrosophic set and collaborative entropy,” Artificial Intelligence Review, vol. 56, no. 3, pp. 2785–2809, 2023.
[22] Y. Li, Q. Cai, and G. Wei, “PT-TOPSIS methods for multi-attribute group decision making under single-valued neutrosophic sets,” International Journal of Knowledge-based and Intelligent Engineering Systems, no. Preprint, pp. 1–18.
[23] S. Chakraborty, P. Chatterjee, and P. P. Das, “Measuring Attractiveness by a Categorical-Based Evaluation Technique (Macbeth),” in Multi-Criteria Decision-Making Methods in Manufacturing Environments, Apple Academic Press, 2024, pp. 251–266.
[24] S. O. Adebiyi, E. O. Kupolati, and O. G. Oyenuga, “Measuring attractiveness by a categorical based evaluation technique (macbeth) for churn and retention of decision of subscribers in the Nigeria telecommunication industry,” International Journal of Applied Operational Research-An Open Access Journal, vol. 11, no. 2, pp. 33–44, 2023.
[25] N. KUNDAKCI, “Combined multi-criteria decision making approach based on MACBETH and MULTI-MOORA methods,” Alphanumeric Journal, vol. 4, no. 1, pp. 17–26, 2016.
[26] P. Karande and S. Chakraborty, “A facility layout selection model using MACBETH method,” in Bali, Indonesia: Proceedings of the 2014 International Conference on Industrial Engineering and Operations Management (January 7-9), 2014.
[27] N. Kundakcı, “An integrated method using MACBETH and EDAS methods for evaluating steam boiler alternatives,” Journal of Multi‐Criteria Decision Analysis, vol. 26, no. 1–2, pp. 27–34, 2019.
[28] M. Mohamed, “Toward Smart Logistics: Hybrization of Intelligence Techniques of Machine Learning and Multi-Criteria Decision-Making in Logistics 5.0,” Multicriteria Algorithms with Applications, vol. 1, no. 1, pp. 42–57, 2023.
[29] E. Phimister and D. Roberts, “The role of ownership in determining the rural economic benefits of on‐shore wind farms,” Journal of Agricultural Economics, vol. 63, no. 2, pp. 331–360, 2012.
[30] K. F. Sotiropoulou and A. P. Vavatsikos, “Onshore wind farms GIS-Assisted suitability analysis using PROMETHEE II,” Energy Policy, vol. 158, p. 112531, 2021.
[31] S. Wharton and J. K. Lundquist, “Assessing atmospheric stability and its impacts on rotor‐disk wind characteristics at an onshore wind farm,” Wind Energy, vol. 15, no. 4, pp. 525–546, 2012.
[32] J. F. Unnewehr, E. Jalbout, C. Jung, D. Schindler, and A. Weidlich, “Getting more with less? Why repowering onshore wind farms does not always lead to more wind power generation–A German case study,” Renewable energy, vol. 180, pp. 245–257, 2021.
[33] K. B. Oebels and S. Pacca, “Life cycle assessment of an onshore wind farm located at the northeastern coast of Brazil,” Renewable Energy, vol. 53, pp. 60–70, 2013.
