NDLI: Techno-economic study for 50 MW wind farm in gawadar coastal city of Balochistan-Pakistan using ARIMA model and RETScreen

Content Provider	IEEE Xplore Digital Library
Author	Wazir, R. Khan, Z.A. Siddique, S.
Copyright Year	2014
Description	Author affiliation: USAID Centre for Adv. Studies in Energy (CAS-EN), Nat. Univ. of Sci. & Technol. (NUST), Islamabad, Pakistan (Wazir, R.; Khan, Z.A.; Siddique, S.)
Abstract	This Paper signifies techno-economic assessments of predicted wind energy generation from 50 MW wind farm at Gawadar city, Baluchistan -Pakistan. Key purpose of the current study is to find wind power potential at low, medium and higher heights. To explore the best power potential, four years' wind speed data is forecasted using statistical model. ARIMA models present a better understanding of 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) and of 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 this software were validated by RETScreen Software. The results show that the most suitable hub height for wind turbines in Gawadar-Pakistan is 100m and capacity factor found at this height is 13.32 percent with annual wind energy production of 58 GWh/year.
Starting Page	417
Ending Page	421
File Size	1378205
Page Count	5
File Format	PDF
ISBN	9781479957545
e-ISBN	9781479957552
DOI	10.1109/INMIC.2014.7097376
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-08
Publisher Place	Pakistan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wind farms Biological system modeling Predictive models Data preprocessing Data models Data analysis Wavelet transforms
Content Type	Text
Resource Type	Article

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