Wind power is a promising renewable source of energy that has been experiencing significant growth over the last decades. The estimated life of the wind turbine blades is approximately 20 years and the first wind farm generations are approaching their end of life, leading to a considerable amount of waste materials from blades in the next years. Most of this material is currently landfilled or incinerated, thus not following a circular economy approach. In order to support more circular economy-oriented solutions, this work proposes a mixed integer linear programming model to optimise the reverse supply network design, from the wind turbine blades location to the end consumer of the recycled product. The developed model is applied on a case study in Europe, by employing data for wind farms from European databases. The output of the case study application is the most cost-efficient network design of the reverse logistics supply chain in Europe. Finally, the benefits of the proposed optimisation model for decision making of the logistics network configuration in a circular economy perspective are discussed.
|Publication status||Published - 15 Jul 2019|
|Event||25th International Joint Conference on Industrial Engineering and Operations Management - Novi Sad, Serbia|
Duration: 15 Jul 2019 → 17 Jul 2019
|Conference||25th International Joint Conference on Industrial Engineering and Operations Management|
|Period||15/07/19 → 17/07/19|
- glass fiber composites
- reverse logistics
- optimisation model
- wind turbine blades waste
Rentizelas, A., Trivyza, NL., & Lichtenegger , G. (2019). Reverse logistics optimisation model for end-of-life wind turbine blades waste composites. Paper presented at 25th International Joint Conference on Industrial Engineering and Operations Management, Novi Sad, Serbia.