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Reliability Assessment of Wind Power Density in Khouzestan Province

KavianiHamedani, Hossein | 2019

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 51786 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Moghim, Sanaz
  7. Abstract:
  8. This study seeks to evaluate reliability of wind power density over Khouzestan province using WRF simulations. Based on 10 meter wind speed data extracted from eight synoptic stations over Khouzestan province, two different domains were selected in south and south-west of khouzestan as promising regions with strong wind speeds. WRF model were used to simulate atmospheric data during 2016 and over two selected regions with 2 kilometers grid spacing. Simulated data were verified with comparing to in-situ data via three parameters of RMSE, BIAS and correlation. Results indicate that model configuration had acceptable accuracy in simulating wind speed data. In this study, Monte Carlo Simulation approach were applied to determine reliability of wind power density over each pixel of the two study domains. After analyzing the results, areas with highest values of probabilities were selected as areas with highest potential of wind power density. Besides, after comparing simulated wind speed data and air density data to the reliability of wind energy results, it can be understood that wind speed has more significant effect on values of wind power density rather than air density. Feasibility study of wind farms establishment, decreasing level of fossil fuels and providing clean and sustainable energies are some applications of this study
  9. Keywords:
  10. Wind Speed Simulation ; Weather Research and Forecasting (WRF)Modeling System ; Monte Carlo Sampling ; Reliability ; Wind Power Density ; Khuzestan Province

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