Predicción y monitorizado de ruido de aerogeneradores y sus implicaciones para la evaluación acústica de parques eólicos

  1. Grilo Bensusan, Álvaro
Supervised by:
  1. Conrado Ferrera Llera Director
  2. Joaquín Fernández Francos Director
  3. Emilia Guisado Pintado Director

Defence university: Universidad de Extremadura

Fecha de defensa: 17 December 2015

Committee:
  1. Jorge Luis Parrondo Gayo Chair
  2. Emilio José Vega Rodríguez Secretary
  3. José Luis Cueto Ancela Committee member
  4. Miguel Angel Herrada Gutiérrez Committee member
  5. José María Montanero Fernández Committee member

Type: Thesis

Teseo: 398665 DIALNET

Abstract

Assessment of wind farm sound usually requires pre- and post-construction sound surveys, to establish a baseline and to demonstrate compliance with noise limits. It is important that an accurate environmental noise prediction method be used during the planning stage in order to maximize the energy output of wind farms whilst still meeting the relevant noise regulations. The main objective of the project is the comparison of predicted noise levels from different applied prediction methods against measured noise levels at the operational wind farm conducted in accordance with several standards and international guidelines. This objective will be reached through the following methodology: � Implementation of statistics analysis of noise datasets obtained through monitoring campaigns at wind farms during the operational phase. � Calculation of expected noise levels at sensitive locations near to the wind turbines through internationally recommended prediction methods. � Validations of prediction parameters for obtain the most accurate results. � Evaluation of effectiveness of NRS (noise reduction system) at the studied wind farm in order to reduce acoustic impact over the closer dwellings.