Enhancing Wind Turbine Efficiency Within the Eolic Cell: A Metamodel-Driven Approach

Abstract

In the pursuit of sustainable energy solutions, wind power emerges as a pivotal contender. This research pioneers the integration of a Horizontal Axis Wind Turbine (HAWT) into the Eolic Cell—a modular wind energy system designed for augmented wind speed and efficiency. Our primary objective is the holistic optimization of HAWT performance, considering five distinct Tip Speed Ratios (TSR) to account for varying conditions. To optimize turbine performance, we manipulate three key parameters: pitch angles of turbine blades along the radius, the First-Grade coefficient, the Second-Grade coefficient, and the NACA profile chord. A novel Metamodel of Optimal Prognosis (MOP) methodology is introduced, streamlining computational efficiency and facilitating gradient-based optimization across the chosen TSRs. This research marks a significant stride in advancing wind energy solutions for distributed generation, focusing on practical efficiency enhancements. It leverages innovative approaches in wind power generation, laying the groundwork for a sustainable energy future. This article signifies the initial phase of our exploration into harnessing the potential of Eolic Cells as a transformative solution for distributed energy generation, with future research endeavors aimed at validating its practicality.