Comparative Analysis of Five Numerical Methods and the Whale Optimization Algorithm for Wind Potential Assessment: A Case Study in Whittlesea, Eastern Cape, South Africa DOI Open Access
Ngwarai Shambira, Lwando Luvatsha, Patrick Mukumba

et al.

Processes, Journal Year: 2025, Volume and Issue: 13(5), P. 1344 - 1344

Published: April 27, 2025

This study explores the potential of wind energy to address electricity shortages in South Africa, focusing on Ekuphumleni community Whittlesea. Given challenges expanding national grid these areas, is considered be a feasible alternative provide clean, renewable and reduce fossil fuel dependence this community. research evaluates utilizing two-parameter Weibull distribution, with scale shape parameters estimated by five traditional numerical methods one metaheuristic optimization technique: whale algorithm (WOA). Goodness-of-fit tests, such as coefficient determination (R2) power density error (WPDE), were utilized determine best method for accurately estimating parameters. Furthermore, net fitness, which combines R2 WPDE, was employed holistic assessment overall performance. Whittlesea showed moderate speeds, averaging 3.88 m/s at 10 m above ground level (AGL), highest speeds winter (4.87 m/s) optimum July. The WOA outperformed all distribution Interestingly, openwind (OWM), technique based iterative methods, Brent comparable performance WOA. 67.29 W/m2, categorizing Whittlesea’s poor suitable small-scale turbines. east patterns favor efficient turbine placement. recommends using augmented turbines site maximize capture speeds.

Language: Английский

Wind Turbine Optimization by Blade Element Momentum Method and Particle Swarm Optimization Technique DOI Creative Commons
Hossein Seifi Davari, Ruxandra Mihaela Botez, Mohsen Seify Davari

et al.

Journal of Engineering, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

The aerodynamic efficiency of wind turbines is greatly influenced by the shape their airfoils. In this study, four airfoils were optimized to enhance performance a small horizontal axis turbine. optimization process involved adjusting thickness and camber using blade element momentum method particle swarm technique. goal was find most aerodynamically efficient airfoil based on thickness‐to‐camber ratio. compared select best one for three‐blade, 6‐m diameter turbine configuration. results showed that microturbine achieved better than baseline those other researchers. Notably, study also rigorously validated momentum–particle methodology through experimental methods, providing robust support our findings.

Language: Английский

Citations

0
Comparative Analysis of Five Numerical Methods and the Whale Optimization Algorithm for Wind Potential Assessment: A Case Study in Whittlesea, Eastern Cape, South Africa DOI Open Access
Ngwarai Shambira, Lwando Luvatsha, Patrick Mukumba

et al.

Processes, Journal Year: 2025, Volume and Issue: 13(5), P. 1344 - 1344

Published: April 27, 2025

This study explores the potential of wind energy to address electricity shortages in South Africa, focusing on Ekuphumleni community Whittlesea. Given challenges expanding national grid these areas, is considered be a feasible alternative provide clean, renewable and reduce fossil fuel dependence this community. research evaluates utilizing two-parameter Weibull distribution, with scale shape parameters estimated by five traditional numerical methods one metaheuristic optimization technique: whale algorithm (WOA). Goodness-of-fit tests, such as coefficient determination (R2) power density error (WPDE), were utilized determine best method for accurately estimating parameters. Furthermore, net fitness, which combines R2 WPDE, was employed holistic assessment overall performance. Whittlesea showed moderate speeds, averaging 3.88 m/s at 10 m above ground level (AGL), highest speeds winter (4.87 m/s) optimum July. The WOA outperformed all distribution Interestingly, openwind (OWM), technique based iterative methods, Brent comparable performance WOA. 67.29 W/m2, categorizing Whittlesea’s poor suitable small-scale turbines. east patterns favor efficient turbine placement. recommends using augmented turbines site maximize capture speeds.

Language: Английский

Citations

0