Pakistan is among of the developing countries in the world that are facing energy crisis. The generation of electricity in Pakistan is shrinking due to an over reliance on fossil fuel resources and also due to the increasing demands for power and lack of efficiency. Due to this energy crisis, many countries have started the research and working in the renewable energy field. In the fields of renewable energy, wind energy is very attractive and has a very key role in the sustainable energy. The purpose of this research work is to analyze a Savonius Vertical axis wind turbine for low wind speed that is inexpensive and is made through easily available material to provide much needed electricity in Pakistan. This paper highlights the designing of the wind turbine and the effect on the blades. With the help of calculating values, 3D view of wind blades' shape has been drawn in the Solid works software. With the help of the Solid works generated file, optimization of the behavior of wind above and below the turbine blades have been analyzed.
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.
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 resultsshow 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 58GWh/year.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.