Work

Implementation of regression models to estimate the power coefficient in a turbine H-Darrieus

Year: 2024

Type: conference-paper

Abstract: This research study examines the efficacy of various regression models in estimating the power coefficient derived from the alteration of solidity and TSR in a hydrokinetic turbine of the H-Darrieus type. The objective is to identify the optimal model that accurately represents the turbine's behavior, thereby determining the optimal operating point and developing a predictive equation for the model, which would facilitate understanding of the turbine's behavior without the need for numerous simulations. The optimal model was identified as the one who include the linear, quadratic and the combinate effects as an equation of four order.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14014336

Authors: Miguel Rodriguez Cabal, Diego Hincapie Zuluaga

Institution: Institución Universitaria ITM

Language: English

Topic: Wind Energy Research and Development

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: green

OpenAlex ID: W6912041108

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