Performance optimization of a dual-rotor ducted wind turbine by using response surface method

• Published in: Energy conversion and management. X 2021-12, Vol.12, p.100120, Article 100120
• Main Authors: Taghinezhad, Javad, Alimardani, Reza, Masdari, Mehran, Mahmoodi, Esmail
• Format: Article
• Language: English
• Subjects: Central composite design; Dual rotor wind turbine; Ducted wind turbine; Optimization; Response surface methodology
• ISSN: 2590-1745; 2590-1745
• DOI: 10.1016/j.ecmx.2021.100120

[Display omitted] •The effect of different dual-rotor wind turbine operating conditions on ducted wind turbines was studied.•ANOVA was used to model the effect of dual rotor design factors on extracted power.•Response Surface Method applied to experimental data in order to optimize the dual rotor wind turbine performance.•Key parameters were affecting the performance of the turbine investigated by RSM.•A suitable dual rotor wind turbine for ducted wind turbines was designed, and RSM was an excellent method to optimize DWTs. The presented study evaluates and optimizes the performance of dual-rotor wind turbines installed inside a developed duct. The effect of different operating conditions on the extracted power was compared between dual-rotor wind turbines (DRWT) and single rotor wind turbines (SRWT). These operating conditions include the type of dual-rotor wind turbines installed in the throat section of the duct, the distance between the two rotors of a turbine, and the flow velocity through the duct throat that were evaluated by the multivariate statistical method response surface methodology. The central composite design of the response surface method was utilized to fit the designed model based on the least-squares method. Also, the multiple regression method was applied for the empirical data to match variable operating conditions with the developed model by analysis of variance (ANOVA). Afterward, some experiments were carried on to validate this method. The results showed a maximum power ratio of about 55% at the optimized conditions for dual rotor wind turbines. Determined P-values for designed parameters of models were less than 0.05, which makes its effect on the model significant. Furthermore, the power ratio obtained from empirical data was compatible with the considered model.