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Integrated Layout Design of an Offshore Wind Farm for Optimal Energy Harvesting

Mcvandi, Ali | 2025

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 58567 (08)
  4. University: Sharif University of Technology
  5. Department: Mechanical Engineering
  6. Advisor(s): Abbaspour, Majid; Mahdigholi, Hamid
  7. Abstract:
  8. In recent decades, the growing global energy demand and depletion of fossil fuels have made renewable energy an essential component of sustainable development. Among various renewable sources, wind energy has attracted special attention due to its abundance, cleanliness, and direct convertibility into electricity. However, the optimal layout design of wind turbines, particularly in offshore wind farms, remains a challenging multi-objective problem due to wake interactions and high installation costs. This study presents the hybrid layout optimization of offshore wind farms to maximize total power output and minimize the Cost of Energy (CoE). Real wind data were obtained from the ECMWF database and processed using MATLAB to extract the wind characteristics of the study area. The Whale Optimization Algorithm (WOA) was employed to optimize five layout configurations, including two homogeneous (BL1 and BL2) and three heterogeneous (hybrid) layouts (OD1, OD2, and OD3) combining 4 MW and 8 MW turbines. The results showed that the hybrid configurations achieved up to 18.7% higher total energy output and 14% lower CoE compared to the homogeneous layouts. Among all models, the OD3 configuration achieved the highest capacity factor of 46.3% and the lowest energy cost of 64.2 USD/MWh. Moreover, wake-induced losses were reduced by approximately 21%, resulting in more uniform downstream wind flow and improved aerodynamic performance. Overall, the findings demonstrate that implementing hybrid turbine layouts can significantly enhance the aerodynamic efficiency, economic feasibility, and spatial utilization of offshore wind farms, providing an effective framework for the next generation of offshore renewable energy systems
  9. Keywords:
  10. Wind Energy ; Offshore Wind Farms ; Energy Price ; Wake Effect ; Cost of Energy (CoE) ; Hybrid Turbine Layout ; Whale Optimization Algorithm (WOA)

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