The Predictive Study on Soweto Wind Turbine Results and Port-Elizabeth

Tshepo Sithole; Vasudeva Rao  Veeredhi; Thembelani  Sithebe

doi:10.31258/ijeepse.6.2.140-144

Tshepo Sithole University of South Africa, Pretoria, South Africa
Vasudeva Rao Veeredhi University of South Africa, Pretoria, South Africa
Thembelani Sithebe University of South Africa, Pretoria, South Africa

DOI: https://doi.org/10.31258/ijeepse.6.2.140-144

Abstract viewed: 321 times

pdf downloaded: 199 times

Keywords: Coastal Regions, Predictive, Port Elizabeth

Abstract

The results achieved for the research objectives of the Soweto Wind Turbine project were very encouraging. During comparison of prototype energy delivered versus time of day/month, results showed the energy production of Prototypes 1, 2 and 3 per month during operation at Soweto. It was observed that Prototype 3 outclassed Prototype 1 and 2 in terms of energy generated per month. Prototype 3 achieved 39.5 W output per wind speed of 1.17 m/s and was predicated to generate a maximum 40 kWh per month. Following information can be found in my recent published article, Implementation and Evaluation of a Low Speed and Self-Regulating Small Wind Turbine for Urban Areas in South Africa published at Engineering, Technology and Applied Science Research [ETASR] peer review open journal. This paper will present results on a predictive study which was subsequently done on implementing the same technology in the coastal regions of South Africa such as Gqeberha (formerly Port Elizabeth), where prevailing winds are much stronger. The results showed that, utilizing the empirically obtained data in Soweto, projected an energy output of up to 54.3 W per wind speed of 5.16 m/s (18.6 km/h) and up to 100 kWh per-month.

References

S. Jain, P.K. Jain, “The rise of renewable energy implementation in South Africa”, Energy Procedia, 143, pp. 721-726, June 2017.

N.N. Rad, A. Bekker and M. Arashi, “Enhancing wind direction prediction of South Africa wind energy hotspots with Bayesian mixture modeling”, Sci Rep 12, 11442, July 2022.

G. Josie, “The Science Behind Decarbonization: The Race to Zero”, Stanford Earth Matters Magazine, July 2021.

E.C. Merem, “Appraising Variations In Climate Change Parameters Along The Lower West African Region”, Journal of Safety Engineering, 7:1:1-19, Climate Change and Shorelines, May 2018.

E.C. Merem, “Techniques of Remote Sensing and GIS as Tools for Visualizing Impact of Climate Change-Induced Flood in the Southern African Region”, American Journal of Climate Change, 6: 306-327. June 2017.

B. Babalwa, South Africa, “Kangnas Wind Farm kicks off operations”, ESI Africa, June 2020.

M. Jamie, “South Africa Will Be A Wind Energy Powerhouse. Olifansfontein, South Africa”, My Broadband News, Feb. 2020.

PR Newswire, Second Wind's Technology Gains Ground in South Africa's Expanding Wind Energy Market, Jan. 2011.

S. O. Sanni, K. O. Olusuyi, and I. Mahmud, “Design and Implementation of Home Appliance Energy Monitoring Device”, IJEEPSE, vol. 2, no. 2, pp. 1-6, Jun. 2019.

Y. Kassem, H. Gokcekus, and H. S. A. Lagili, "A Techno-Economic

Viability Analysis of the Two-Axis Tracking Grid-Connected Photovoltaic Power System for 25 Selected Coastal Mediterranean", Engineering, Technology & Applied Science Research, vol. 11, no. 4, pp. 7508–7514, Aug. 2021.

A. Rajagukguk and M. Aritonang, “Optimization of PV Power Capacity of 10 KWp Capacity Based on P&O Algorithm and Boost Converter”, IJEEPSE, vol. 3, no. 3, pp. 57-64, Oct. 2020.

C. Shonhiwa, G. Makaka and K. Munjeri, “Estimation of Wind Power Potential of Six Sites in Eastern Cape Province of South Africa”, Physical Science International Journal, pp. 209-218, June 2015.

ElectroMann SA, “Wind Power (Technology and Economics)”, Aug. 2021.

Weather Spark, “Average Weather in Port Elizabeth”, June 2020.

T.S. Sithole, V.R. Veeredhi, and T. Sithebe. “Implementation and Evaluation of a Low Speed and Self-Regulating Small Wind Turbine for Urban Areas in South Africa.”, Eng. Technol. Appl. Sci. Res., vol. 13, no. 2, pp. 10558, Apr. 2023.