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Offshore Windfarm Layout Optimization

Ziyaei, Pegah | 2019

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 52384 (08)
  4. University: Sharif University of Technology
  5. Department: Mechanical Engineering
  6. Advisor(s): Khorasanchi, Mahdi; Sayyadi, Hassan
  7. Abstract:
  8. The minimum cost of energy is the goal of the wind farm layout optimization. This can be achieved by either maximizing the total energy or minimizing the total costs of the farm. This thesis considered the effect of wind speed on the performance and thrust coefficients. We also used two sizes of commercial turbines. First, we started by a single variable objective function (turbine cost to generated power), then, considering cable, foundation and O&M modules, objective function changed to a LCOE function which is non-dimensionalized by dividing all the costs to the cost of one turbine. We modified the simple cost model proposed by Mosetti et al., using cost scaling law, and also included considered effect of the hub height on the wind velocity and wake. Each generated layout in the Genetic Algorithm is optimized for the cable layout and O&M vessel routes by Neural Network Algorithm and the objective function results are optimized by GA. It was observed that the variation of performance and thrust coefficient with wind speed reduced the total power and thus increased the cost of energy. Using different sizes of turbines, only the larger turbines remained in the optimum layout. In order to find the reason of this selection, we practiced the same problem with NSGA-II, the result was that despite an increase in the produced power due to using smaller sizes of turbines among larger turbines, the high increase in the cost of energy makes it unpractical
  9. Keywords:
  10. Offshore Wind Farms ; Layout Optimization ; Windfarm Cost ; Operability Index ; Genetic Algorithm ; Wind Turbine ; Neural Network

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