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Integrated LCA and DEA approach for circular economy-driven performance evaluation of wind turbine end-of-life treatment options

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  • Gennitsaris, Stavros
  • Sagani, Angeliki
  • Sofianopoulou, Stella
  • Dedoussis, Vassilis

Abstract

The purpose of this paper is to present an integrated joint application of Life Cycle Analysis (LCA) and Data Envelopment Analysis (DEA) in order to evaluate the efficiency of different end-of-life treatment options for wind turbine decommissioning, considering, technological, economic, and environmental aspects in a circular economy context. Eleven scenarios have been configurated concerning the material waste management of a representative type of wind turbine operating in Greece. Mechanical recycling, landfill disposal and advanced thermal recycling technologies, such as conventional or microwave pyrolysis are addressed. The proposed approach does not only evaluate the efficiency of each one of the different end-of-life treatment processes relative to one another, but it also suggests circular economy-driven policy-making scenarios towards more sustainable waste management in the country. Real-world data calculations indicate that improving the performance of the energy-intensive thermal recycling process could maximize the environmental benefits. Α circular zero-waste approach based on remanufacturing, repurposing or waste prevention through design-for-recycling of wind turbine blades, could also favor long-term sustainability.

Suggested Citation

  • Gennitsaris, Stavros & Sagani, Angeliki & Sofianopoulou, Stella & Dedoussis, Vassilis, 2023. "Integrated LCA and DEA approach for circular economy-driven performance evaluation of wind turbine end-of-life treatment options," Applied Energy, Elsevier, vol. 339(C).
    • Handle: RePEc:eee:appene:v:339:y:2023:i:c:s030626192300315x
    DOI: 10.1016/j.apenergy.2023.120951
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    1. Stacey L. Dolan & Garvin A. Heath, 2012. "Life Cycle Greenhouse Gas Emissions of Utility‐Scale Wind Power," Journal of Industrial Ecology, Yale University, vol. 16(s1), pages 136-154, April.
    2. Duan, Na & Guo, Jun-Peng & Xie, Bai-Chen, 2016. "Is there a difference between the energy and CO2 emission performance for China’s thermal power industry? A bootstrapped directional distance function approach," Applied Energy, Elsevier, vol. 162(C), pages 1552-1563.
    3. Majewski, Peter & Florin, Nick & Jit, Joytishna & Stewart, Rodney A., 2022. "End-of-life policy considerations for wind turbine blades," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).
    4. Zhang, Ruchuan & Wei, Qian & Li, Aijun & Ren, LiYing, 2022. "Measuring efficiency and technology inequality of China's electricity generation and transmission system: A new approach of network Data Envelopment Analysis prospect cross-efficiency models," Energy, Elsevier, vol. 246(C).
    5. Guezuraga, Begoña & Zauner, Rudolf & Pölz, Werner, 2012. "Life cycle assessment of two different 2 MW class wind turbines," Renewable Energy, Elsevier, vol. 37(1), pages 37-44.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    7. Xue, Bing & Ma, Zhixiao & Geng, Yong & Heck, Peter & Ren, Wanxia & Tobias, Mario & Maas, Achim & Jiang, Ping & Puppim de Oliveira, Jose A. & Fujita, Tsuyoshi, 2015. "A life cycle co-benefits assessment of wind power in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 338-346.
    8. Zhong, Z.W. & Song, B. & Loh, P.E., 2011. "LCAs of a polycrystalline photovoltaic module and a wind turbine," Renewable Energy, Elsevier, vol. 36(8), pages 2227-2237.
    9. Tremeac, Brice & Meunier, Francis, 2009. "Life cycle analysis of 4.5Â MW and 250Â W wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 2104-2110, October.
    10. Ebbe Bagge Paulsen & Peter Enevoldsen, 2021. "A Multidisciplinary Review of Recycling Methods for End-of-Life Wind Turbine Blades," Energies, MDPI, vol. 14(14), pages 1-13, July.
    11. Martínez, E. & Sanz, F. & Pellegrini, S. & Jiménez, E. & Blanco, J., 2009. "Life cycle assessment of a multi-megawatt wind turbine," Renewable Energy, Elsevier, vol. 34(3), pages 667-673.
    12. Arvesen, Anders & Hertwich, Edgar G., 2012. "Assessing the life cycle environmental impacts of wind power: A review of present knowledge and research needs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 5994-6006.
    13. Zeng, Yuan & Guo, Waiying & Wang, Hongmei & Zhang, Fengbin, 2020. "A two-stage evaluation and optimization method for renewable energy development based on data envelopment analysis," Applied Energy, Elsevier, vol. 262(C).
    14. Korhonen, Pekka J. & Luptacik, Mikulas, 2004. "Eco-efficiency analysis of power plants: An extension of data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 154(2), pages 437-446, April.
    15. Jara Laso & Daniel Hoehn & María Margallo & Isabel García-Herrero & Laura Batlle-Bayer & Alba Bala & Pere Fullana-i-Palmer & Ian Vázquez-Rowe & Angel Irabien & Rubén Aldaco, 2018. "Assessing Energy and Environmental Efficiency of the Spanish Agri-Food System Using the LCA/DEA Methodology," Energies, MDPI, vol. 11(12), pages 1-18, December.
    16. Patricija Bajec & Danijela Tuljak-Suban, 2019. "An Integrated Analytic Hierarchy Process—Slack Based Measure-Data Envelopment Analysis Model for Evaluating the Efficiency of Logistics Service Providers Considering Undesirable Performance Criteria," Sustainability, MDPI, vol. 11(8), pages 1-18, April.
    17. Lam, Chor Man & Hsu, Shu-Chien & Alvarado, Valeria & Li, Wing Man, 2020. "Integrated life-cycle data envelopment analysis for techno-environmental performance evaluation on sludge-to-energy systems," Applied Energy, Elsevier, vol. 266(C).
    18. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
    19. Niklas Andersen & Ola Eriksson & Karl Hillman & Marita Wallhagen, 2016. "Wind Turbines’ End-of-Life: Quantification and Characterisation of Future Waste Materials on a National Level," Energies, MDPI, vol. 9(12), pages 1-24, November.
    20. Scheel, Holger, 2001. "Undesirable outputs in efficiency valuations," European Journal of Operational Research, Elsevier, vol. 132(2), pages 400-410, July.
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    1. Zahraossadat Alavi & Kaveh Khalilpour & Nick Florin, 2024. "Forecasting End-of-Life Wind Turbine Material Flows in Australia under Various Wind Energy Deployment Scenarios," Energies, MDPI, vol. 17(4), pages 1-19, February.

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