• DocumentCode
    3705412
  • Title

    Techno-economic study for 50 MW wind farm in Pasni, coastal district of Balochistan-Pakistan using ARIMA models and RETScreen

  • Author

    Zia Ahmad Khan;Rashid Wazir

  • Author_Institution
    Centre for Energy Systems (CES), National University of sciences and technology (NUST), Islamabad, (Pakistan)
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This study investigates the techno-economic assessment of predicted wind energy generation from 50 MW wind farm at Pasni, Distt of Gawadar, Baluchistan -Pakistan. Key purpose of the current work is to find wind power potential at low, medium and higher heights. To explore the best and power potential, four years wind speed data is forecasted using statistical model. ARIMA models present a better understanding to the change and estimate of the wind speed. Based on this forecasted wind speed 317 turbines of different manufacturers were examined at different heights (60m, 80m and 100m) from ground level including maximum possible rating up to 5 MW. The results show the best turbine selection at particular location with maximum possible capacity factor achievable through various numerical as well as simulation methods. Moreover this study further investigates the economic feasibility of 50 MW wind farm through numerical methods at the potential site using Minitab, Stats Graphics, and EViews. The results obtained from these software were validated by simulations through RETScreen Software. The results show that the most suitable hub height for wind turbines in Pasni-Pakistan is 100m and capacity factor found at this height is 20.19 % with annual wind energy production of 88 GWh/year.
  • Keywords
    "Wind speed","Wind forecasting","Wind turbines","Predictive models","Biological system modeling","Time series analysis","Correlation"
  • Publisher
    ieee
  • Conference_Titel
    Energy Systems and Policies (ICESP), 2014 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICESP.2014.7347012
  • Filename
    7347012