Increasing energy demands yield the development of new interventions in sustainable and renewable energy sources. Wind energy has gained significant attention due to its market acceptance and scalability. Optimization and scalability of vertical axis wind turbines (VAWTs) are essential for wind farm applications. The present study discusses a strategy to optimize and benchmark the twin VAWT configurations and utilizes the Taguchi design of experiments as an optimization tool. At the same time, data envelopment analysis is considered as the benchmarking tool. The Taguchi L4 array is used to perform the required numerical simulations, and a further signal–noise (S/N) ratio is calculated to obtain the optimum result. The responses to the numerical simulations are further utilized to establish benchmarking turbine configurations. The twin VAWT configurations having turbine spacing (TS) = 1.3D, the angle between the turbine (TA) = 90°, and the solidity ratio = 0.373 are found to be optimal. The O2 and O3 models were selected as the benchmark models through input-oriented Charnes, Cooper, and Rhodes (ICCR) and input-oriented Banker, Charnes, and Cooper (IBCC) data envelopment analysis (DEA) models.