Reverse logistics optimisation model for end-of-life wind turbine blades waste composites

A Rentizelas, NL Trivyza, G Lichtenegger

Research output: Contribution to conferencePaper

Abstract

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.

Conference

Conference25th International Joint Conference on Industrial Engineering and Operations Management
Abbreviated titleIJCIEOM
CountrySerbia
CityNovi Sad
Period15/07/1917/07/19

Fingerprint

Wind turbines
Turbomachine blades
Logistics
Farms
Composite materials
Linear programming
Wind power
Supply chains
Decision making
Costs

Keywords

  • glass fiber composites
  • reverse logistics
  • optimisation model
  • wind turbine blades waste
  • recycling

Cite this

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.
Rentizelas, A ; Trivyza, NL ; Lichtenegger , G. / 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.
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abstract = "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.",
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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, 15/07/19 - 17/07/19, .

Reverse logistics optimisation model for end-of-life wind turbine blades waste composites. / Rentizelas, A; Trivyza, NL; Lichtenegger , G.

2019. Paper presented at 25th International Joint Conference on Industrial Engineering and Operations Management, Novi Sad, Serbia.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Reverse logistics optimisation model for end-of-life wind turbine blades waste composites

AU - Rentizelas, A

AU - Trivyza, NL

AU - Lichtenegger , G

PY - 2019/7/15

Y1 - 2019/7/15

N2 - 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.

AB - 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.

KW - glass fiber composites

KW - reverse logistics

KW - optimisation model

KW - wind turbine blades waste

KW - recycling

M3 - Paper

ER -

Rentizelas A, Trivyza NL, Lichtenegger G. Reverse logistics optimisation model for end-of-life wind turbine blades waste composites. 2019. Paper presented at 25th International Joint Conference on Industrial Engineering and Operations Management, Novi Sad, Serbia.