An Optimization Model to Develop Efficient Dismantling Networks for Wind Turbines
- 1.4k Downloads
In average, more than 1,275 wind turbines were installed annually since 1997 in Germany and more than 27,000 wind turbines are in operation today. The technical and economic life time of wind turbines is around 20 to 25 years. Consequently, dismantling of aging wind turbines will increase significantly in upcoming years due to repowering or decommissioning of wind farms and lead to millions of costs for operators. An option to supersede the costly and time-consuming dismantling of wind turbines entirely on-site is to establish a dismantling network in which partly dismantled wind turbines are transported to specialized dismantling sites for further handling. This network requires an optimization model to determine optimal locations and an appropriate distribution of disassembly steps to dismantling sites. The challenge is to consider the networks dependency on the trade-off between transportation and dismantling costs which, in turn, depends on the selection of dismantling depths and sites. Building on the Koopmans-Beckmann problem, we present a mathematical optimization model to address the described location planning and allocation problem. To permit a proof-of-concept, we apply our model to a case-study of an exemplary wind farm in Northern Germany. Our results show that the model can assist dismantling companies to arrange efficient dismantling networks for wind turbines and to benefit from emerging economic advantages.
- 1.Masherova, A. (2015, 12/2015). Rätselraten um Rückbaukosten. Eine Kalkulation für neue Windpark problematisch. 4initia Newsletter, 2–4.Google Scholar
- 2.Kannan, G., Sasikumar, P., & Devika, K. (2010). A genetic algorithm approach for solving a closed loop supply chain model. A case of battery recycling. Applied Mathematical Modelling, 34(3), 655670. https://doi.org/10.1016/j.apm.2009.06.021.
- 3.Cruz-Rivera, R., & Ertel, J. (2009). Reverse logistics network design for the collection of End-of-Life Vehicles in Mexico. European Journal of Operational Research, 196(3), 930939. https://doi.org/10.1016/j.ejor.2008.04.041.
- 4.Behrens, B.-A., Nyhuis, P., Overmeyer, L., Bentlage, A., Rüther, T., & Ullmann, G. (2014). Towards a definition of large scale products. Production Engineering, 8(1–2), 153–164.Google Scholar
- 5.Cinar, S., & Yildirim, B. (2017). Reverse logistic network design for end-of-life wind turbines. Optimization and Dynamics with their Applications: Essays in Honor of Ferenc Szidarovszky. Singapore: Springer.Google Scholar
- 6.Edwards, C. S. (1980). A branch and bound algorithm for the koopmans-beckmann quadratic assignment problem. Mathematical Programming Study (pp. 35–52)Google Scholar
- 7.Nordex. (2011). Rückbauaufwand für Windenergieanlagen. No. K0801025550DE Hamburg. Nordex Energy GmbH.Google Scholar