The Use of Wind Turbine Blades to Build Road Noise Barriers as an Example of a Circular Economy Model

Materials (Basel). 2024 Apr 26;17(9):2048. doi: 10.3390/ma17092048.

Abstract

This project's objective was to create a circular economy in the composites sector by examining the possibility of using wind turbine blade composite materials to construct noise-absorbing barriers for roads. The possibility of constructing road noise barrier panels from components obtained from turbine blades was conceptually examined, and the geometry and construction of wind turbine blades were evaluated for their suitability as filler components for panels. The tensile strength parameters of two types of composites made from windmill blades-a solid composite and a sandwich type-were established based on material tests. The strength of the composite elements cut from a windmill propeller was analyzed, and a three-dimensional numerical model was created using the finite element method. The strength values of the composite used to construct the noise barriers were compared with the stresses resulting from loads operating on the road noise barriers, as determined in compliance with current standards. It was discovered that acoustic screens composed of composite materials derived from wind turbine blades may withstand loads associated with wind pressure and vehicle traffic with sufficient resistance. In order to evaluate the environmental benefits resulting from the use of composite material made from wind turbine blades to make noise barriers, this study presents the values of the embodied energy and embodied carbon for several types of road noise barriers using life cycle assessment.

Keywords: FEM analysis; acoustic screens; composite structures; saving energy; structural behavior; turbine blades.

Grants and funding

This work was supported by the Polytechnic Network VIA CARPATIA, named after “President of the Republic of Poland Lech Kaczyński” and financed by a special grant from the Minister of Education and Science, contract number MEiN/2022/DPI/2577. This research received no external funding.