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Optimal placement of wind turbines in a wind park using Monte Carlo simulation

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  1. Dhunny, A.Z. & Allam, Z. & Lobine, D. & Lollchund, M.R., 2019. "Sustainable renewable energy planning and wind farming optimization from a biodiversity perspective," Energy, Elsevier, vol. 185(C), pages 1282-1297.
  2. Cao, Lichao & Ge, Mingwei & Gao, Xiaoxia & Du, Bowen & Li, Baoliang & Huang, Zhi & Liu, Yongqian, 2022. "Wind farm layout optimization to minimize the wake induced turbulence effect on wind turbines," Applied Energy, Elsevier, vol. 323(C).
  3. Mustakerov, Ivan & Borissova, Daniela, 2010. "Wind turbines type and number choice using combinatorial optimization," Renewable Energy, Elsevier, vol. 35(9), pages 1887-1894.
  4. Xiawei Wu & Weihao Hu & Qi Huang & Cong Chen & Zhe Chen & Frede Blaabjerg, 2019. "Optimized Placement of Onshore Wind Farms Considering Topography," Energies, MDPI, vol. 12(15), pages 1-18, July.
  5. Song, MengXuan & Wu, BingHeng & Chen, Kai & Zhang, Xing & Wang, Jun, 2016. "Simulating the wake flow effect of wind turbines on velocity and turbulence using particle random walk method," Energy, Elsevier, vol. 116(P1), pages 583-591.
  6. Hou, Peng & Hu, Weihao & Chen, Cong & Soltani, Mohsen & Chen, Zhe, 2016. "Optimization of offshore wind farm layout in restricted zones," Energy, Elsevier, vol. 113(C), pages 487-496.
  7. Dinçer, A.Ersin & Demir, A. & Yılmaz, K., 2023. "Enhancing wind turbine site selection through a novel wake penalty criterion," Energy, Elsevier, vol. 283(C).
  8. Arnold, Uwe & Yildiz, Özgür, 2015. "Economic risk analysis of decentralized renewable energy infrastructures – A Monte Carlo Simulation approach," Renewable Energy, Elsevier, vol. 77(C), pages 227-239.
  9. Song, Mengxuan & Wen, Yi & Duan, Bin & Wang, Jun & Gong, Qi, 2017. "Micro-siting optimization of a wind farm built in multiple phases," Energy, Elsevier, vol. 137(C), pages 95-103.
  10. Matthias Ritter & Simone Pieralli & Martin Odening, 2017. "Neighborhood Effects in Wind Farm Performance: A Regression Approach," Energies, MDPI, vol. 10(3), pages 1-16, March.
  11. Kale, Baris & Buckingham, Sophia & van Beeck, Jeroen & Cuerva-Tejero, Alvaro, 2023. "Comparison of the wake characteristics and aerodynamic response of a wind turbine under varying atmospheric conditions using WRF-LES-GAD and WRF-LES-GAL wind turbine models," Renewable Energy, Elsevier, vol. 216(C).
  12. Song, Mengxuan & Chen, Kai & Zhang, Xing & Wang, Jun, 2016. "Optimization of wind turbine micro-siting for reducing the sensitivity of power generation to wind direction," Renewable Energy, Elsevier, vol. 85(C), pages 57-65.
  13. Lam, H.F. & Peng, H.Y., 2017. "Development of a wake model for Darrieus-type straight-bladed vertical axis wind turbines and its application to micro-siting problems," Renewable Energy, Elsevier, vol. 114(PB), pages 830-842.
  14. Anwarzai, Mohammad Abed & Nagasaka, Ken, 2017. "Utility-scale implementable potential of wind and solar energies for Afghanistan using GIS multi-criteria decision analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 150-160.
  15. Saavedra-Moreno, B. & Salcedo-Sanz, S. & Paniagua-Tineo, A. & Prieto, L. & Portilla-Figueras, A., 2011. "Seeding evolutionary algorithms with heuristics for optimal wind turbines positioning in wind farms," Renewable Energy, Elsevier, vol. 36(11), pages 2838-2844.
  16. Thomaidis, Nikolaos S. & Christodoulou, Theodoros & Santos-Alamillos, Francisco J., 2023. "Handling the risk dimensions of wind energy generation," Applied Energy, Elsevier, vol. 339(C).
  17. Wu, Xiawei & Hu, Weihao & Huang, Qi & Chen, Cong & Jacobson, Mark Z. & Chen, Zhe, 2020. "Optimizing the layout of onshore wind farms to minimize noise," Applied Energy, Elsevier, vol. 267(C).
  18. Nicolas Kirchner-Bossi & Fernando Porté-Agel, 2018. "Realistic Wind Farm Layout Optimization through Genetic Algorithms Using a Gaussian Wake Model," Energies, MDPI, vol. 11(12), pages 1-26, November.
  19. Abdulrahman, Mamdouh & Wood, David, 2017. "Investigating the Power-COE trade-off for wind farm layout optimization considering commercial turbine selection and hub height variation," Renewable Energy, Elsevier, vol. 102(PB), pages 267-278.
  20. Ika Kurniawati & Beatriz Beaumont & Ramon Varghese & Danka Kostadinović & Ivan Sokol & Hassan Hemida & Panagiotis Alevras & Charalampos Baniotopoulos, 2023. "Conceptual Design of a Floating Modular Energy Island for Energy Independency: A Case Study in Crete," Energies, MDPI, vol. 16(16), pages 1-21, August.
  21. Chen, K. & Song, M.X. & Zhang, X. & Wang, S.F., 2016. "Wind turbine layout optimization with multiple hub height wind turbines using greedy algorithm," Renewable Energy, Elsevier, vol. 96(PA), pages 676-686.
  22. Song, M.X. & Chen, K. & He, Z.Y. & Zhang, X., 2013. "Bionic optimization for micro-siting of wind farm on complex terrain," Renewable Energy, Elsevier, vol. 50(C), pages 551-557.
  23. Abdelsalam, Ali M. & El-Shorbagy, M.A., 2018. "Optimization of wind turbines siting in a wind farm using genetic algorithm based local search," Renewable Energy, Elsevier, vol. 123(C), pages 748-755.
  24. Biswas, Partha P. & Suganthan, P.N. & Amaratunga, Gehan A.J., 2018. "Decomposition based multi-objective evolutionary algorithm for windfarm layout optimization," Renewable Energy, Elsevier, vol. 115(C), pages 326-337.
  25. Ma, Xiaojuan & Wu, Xinghong & Wu, Yan & Wang, Yufei, 2023. "Energy system design of offshore natural gas hydrates mining platforms considering multi-period floating wind farm optimization and production profile fluctuation," Energy, Elsevier, vol. 265(C).
  26. Khan, Salman A. & Rehman, Shafiqur, 2013. "Iterative non-deterministic algorithms in on-shore wind farm design: A brief survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 370-384.
  27. Rajper, Samina & Amin, Imran J., 2012. "Optimization of wind turbine micrositing: A comparative study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 5485-5492.
  28. Bastankhah, Majid & Porté-Agel, Fernando, 2014. "A new analytical model for wind-turbine wakes," Renewable Energy, Elsevier, vol. 70(C), pages 116-123.
  29. Hegazy Rezk & Ahmed Fathy & Ahmed A. Zaki Diab & Mujahed Al-Dhaifallah, 2019. "The Application of Water Cycle Optimization Algorithm for Optimal Placement of Wind Turbines in Wind Farms," Energies, MDPI, vol. 12(22), pages 1-19, November.
  30. Böhme, Gustavo S. & Fadigas, Eliane A. & Gimenes, André L.V. & Tassinari, Carlos E.M., 2018. "Wake effect measurement in complex terrain - A case study in Brazilian wind farms," Energy, Elsevier, vol. 161(C), pages 277-283.
  31. Kyoungboo Yang & Kyungho Cho, 2019. "Simulated Annealing Algorithm for Wind Farm Layout Optimization: A Benchmark Study," Energies, MDPI, vol. 12(23), pages 1-15, November.
  32. Ashuri, T. & Zaaijer, M.B. & Martins, J.R.R.A. & van Bussel, G.J.W. & van Kuik, G.A.M., 2014. "Multidisciplinary design optimization of offshore wind turbines for minimum levelized cost of energy," Renewable Energy, Elsevier, vol. 68(C), pages 893-905.
  33. Nikolaos M. Manousakis & Constantinos S. Psomopoulos & George Ch. Ioannidis & Stavros D. Kaminaris, 2021. "A Binary Integer Programming Method for Optimal Wind Turbines Allocation," Clean Technol., MDPI, vol. 3(2), pages 1-12, June.
  34. Yildiz, Anil & Mern, John & Kochenderfer, Mykel J. & Howland, Michael F., 2023. "Towards sequential sensor placements on a wind farm to maximize lifetime energy and profit," Renewable Energy, Elsevier, vol. 216(C).
  35. Zergane, Saïd & Smaili, Arezki & Masson, Christian, 2018. "Optimization of wind turbine placement in a wind farm using a new pseudo-random number generation method," Renewable Energy, Elsevier, vol. 125(C), pages 166-171.
  36. Turner, S.D.O. & Romero, D.A. & Zhang, P.Y. & Amon, C.H. & Chan, T.C.Y., 2014. "A new mathematical programming approach to optimize wind farm layouts," Renewable Energy, Elsevier, vol. 63(C), pages 674-680.
  37. Syed Ahmed Kabir, Ijaz Fazil & Safiyullah, Ferozkhan & Ng, E.Y.K. & Tam, Vivian W.Y., 2020. "New analytical wake models based on artificial intelligence and rivalling the benchmark full-rotor CFD predictions under both uniform and ABL inflows," Energy, Elsevier, vol. 193(C).
  38. Dinçer, A.E. & Demir, A. & Yılmaz, K., 2024. "Multi-objective turbine allocation on a wind farm site," Applied Energy, Elsevier, vol. 355(C).
  39. Huashuai Qu & Ilya O. Ryzhov & Michael C. Fu & Zi Ding, 2015. "Sequential Selection with Unknown Correlation Structures," Operations Research, INFORMS, vol. 63(4), pages 931-948, August.
  40. Christos A. Christodoulou & Vasiliki Vita & George-Calin Seritan & Lambros Ekonomou, 2020. "A Harmony Search Method for the Estimation of the Optimum Number of Wind Turbines in a Wind Farm," Energies, MDPI, vol. 13(11), pages 1-8, June.
  41. Ioannou, Anastasia & Angus, Andrew & Brennan, Feargal, 2017. "Risk-based methods for sustainable energy system planning: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 602-615.
  42. Matthias Ritter & Simone Pieralli & HMartin Odening, 2016. "Neighborhood Effects in Wind Farm Performance: An Econometric Approach," SFB 649 Discussion Papers SFB649DP2016-012, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  43. Zhigang Duan & Yamin Yan & Xiaohan Yan & Qi Liao & Wan Zhang & Yongtu Liang & Tianqi Xia, 2017. "An MILP Method for Design of Distributed Energy Resource System Considering Stochastic Energy Supply and Demand," Energies, MDPI, vol. 11(1), pages 1-23, December.
  44. Gu, Huajie & Wang, Jun, 2013. "Irregular-shape wind farm micro-siting optimization," Energy, Elsevier, vol. 57(C), pages 535-544.
  45. Song, M.X. & Chen, K. & He, Z.Y. & Zhang, X., 2014. "Optimization of wind farm micro-siting for complex terrain using greedy algorithm," Energy, Elsevier, vol. 67(C), pages 454-459.
  46. Yang, Kyoungboo & Kwak, Gyeongil & Cho, Kyungho & Huh, Jongchul, 2019. "Wind farm layout optimization for wake effect uniformity," Energy, Elsevier, vol. 183(C), pages 983-995.
  47. Serrano González, Javier & Burgos Payán, Manuel & Santos, Jesús Manuel Riquelme & González-Longatt, Francisco, 2014. "A review and recent developments in the optimal wind-turbine micro-siting problem," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 133-144.
  48. Dhoot, Aditya & Antonini, Enrico G.A. & Romero, David A. & Amon, Cristina H., 2021. "Optimizing wind farms layouts for maximum energy production using probabilistic inference: Benchmarking reveals superior computational efficiency and scalability," Energy, Elsevier, vol. 223(C).
  49. Gao, Xiaoxia & Yang, Hongxing & Lu, Lin, 2014. "Investigation into the optimal wind turbine layout patterns for a Hong Kong offshore wind farm," Energy, Elsevier, vol. 73(C), pages 430-442.
  50. Chen, Le & Harding, Chris & Sharma, Anupam & MacDonald, Erin, 2016. "Modeling noise and lease soft costs improves wind farm design and cost-of-energy predictions," Renewable Energy, Elsevier, vol. 97(C), pages 849-859.
  51. Beşkirli, Mehmet & Koç, İsmail & Haklı, Hüseyin & Kodaz, Halife, 2018. "A new optimization algorithm for solving wind turbine placement problem: Binary artificial algae algorithm," Renewable Energy, Elsevier, vol. 121(C), pages 301-308.
  52. McWilliam, M.K. & van Kooten, G.C. & Crawford, C., 2012. "A method for optimizing the location of wind farms," Renewable Energy, Elsevier, vol. 48(C), pages 287-299.
  53. Ge, Mingwei & Wu, Ying & Liu, Yongqian & Yang, Xiang I.A., 2019. "A two-dimensional Jensen model with a Gaussian-shaped velocity deficit," Renewable Energy, Elsevier, vol. 141(C), pages 46-56.
  54. Maki, Kevin & Sbragio, Ricardo & Vlahopoulos, Nickolas, 2012. "System design of a wind turbine using a multi-level optimization approach," Renewable Energy, Elsevier, vol. 43(C), pages 101-110.
  55. Yin, Peng-Yeng & Wu, Tsai-Hung & Hsu, Ping-Yi, 2017. "Simulation based risk management for multi-objective optimal wind turbine placement using MOEA/D," Energy, Elsevier, vol. 141(C), pages 579-597.
  56. Lin, Jian Wei & Zhu, Wei Jun & Shen, Wen Zhong, 2022. "New engineering wake model for wind farm applications," Renewable Energy, Elsevier, vol. 198(C), pages 1354-1363.
  57. Cuadra, L. & Ocampo-Estrella, I. & Alexandre, E. & Salcedo-Sanz, S., 2019. "A study on the impact of easements in the deployment of wind farms near airport facilities," Renewable Energy, Elsevier, vol. 135(C), pages 566-588.
  58. Shakoor, Rabia & Hassan, Mohammad Yusri & Raheem, Abdur & Rasheed, Nadia, 2016. "Wind farm layout optimization using area dimensions and definite point selection techniques," Renewable Energy, Elsevier, vol. 88(C), pages 154-163.
  59. Ramshani, Mohammad & Khojandi, Anahita & Li, Xueping & Omitaomu, Olufemi, 2020. "Optimal planning of the joint placement of photovoltaic panels and green roofs under climate change uncertainty," Omega, Elsevier, vol. 90(C).
  60. Jung-Tae Lee & Hyun-Goo Kim & Yong-Heack Kang & Jin-Young Kim, 2019. "Determining the Optimized Hub Height of Wind Turbine Using the Wind Resource Map of South Korea," Energies, MDPI, vol. 12(15), pages 1-13, July.
  61. Hou, Peng & Hu, Weihao & Soltani, Mohsen & Chen, Cong & Chen, Zhe, 2017. "Combined optimization for offshore wind turbine micro siting," Applied Energy, Elsevier, vol. 189(C), pages 271-282.
  62. Wu, Chutian & Yang, Xiaolei & Zhu, Yaxin, 2021. "On the design of potential turbine positions for physics-informed optimization of wind farm layout," Renewable Energy, Elsevier, vol. 164(C), pages 1108-1120.
  63. Butterwick, Thomas & Kheiri, Ahmed & Lulli, Guglielmo & Gromicho, Joaquim & Kreeft, Jasper, 2023. "Application of selection hyper-heuristics to the simultaneous optimisation of turbines and cabling within an offshore windfarm," Renewable Energy, Elsevier, vol. 208(C), pages 1-16.
  64. Azlan, F. & Kurnia, J.C. & Tan, B.T. & Ismadi, M.-Z., 2021. "Review on optimisation methods of wind farm array under three classical wind condition problems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
  65. Ulku, I. & Alabas-Uslu, C., 2019. "A new mathematical programming approach to wind farm layout problem under multiple wake effects," Renewable Energy, Elsevier, vol. 136(C), pages 1190-1201.
  66. MirHassani, S.A. & Yarahmadi, A., 2017. "Wind farm layout optimization under uncertainty," Renewable Energy, Elsevier, vol. 107(C), pages 288-297.
  67. Feng, Ju & Shen, Wen Zhong, 2015. "Solving the wind farm layout optimization problem using random search algorithm," Renewable Energy, Elsevier, vol. 78(C), pages 182-192.
  68. Muhammad Bin Ali & Zeshan Ahmad & Saad Alshahrani & Muhammad Rizwan Younis & Irsa Talib & Muhammad Imran, 2022. "A Case Study: Layout Optimization of Three Gorges Wind Farm Pakistan, Using Genetic Algorithm," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
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