Lifetime Extension, Repowering or Decommissioning? Decision Support for Operators of Ageing Wind Turbines

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  • Institut für integrierte Produktion Hannover (IPH)
  • Nefino GmbH
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Details

Original languageEnglish
Article number012033
JournalJournal of Physics: Conference Series
Volume1222
Issue number1
Early online date21 May 2019
Publication statusPublished - May 2019
EventWindEurope Conference and Exhibition 2019 - Bilbao, Spain
Duration: 2 Apr 20194 Apr 2019

Abstract

In Germany, more than one third of the installed wind energy capacity will leave the feed-in tariff funding between 2021 and 2025. Operators of affected turbines are therefore increasingly concerned with the design of profitable end-of-funding strategies. This requires feasibility analyses of both lifetime extension and repowering options and entails the subsequent challenge to determine the optimal lifetime extension and corresponding repowering timing. To support operators and other stakeholders dealing with wind turbines' end-of-life issues, this study presents a geographic information system that permits evaluating optimal end-of-funding strategies at different spatial scales reaching down to detailed analyses on individual turbine level. The decision support system processes topographic, wind, turbine, and finance data in an integrated system of resource simulations, spatial planning analyses and economic viability assessments. Case-study results show that a uniform end-of-funding strategy cannot be applied to all ageing turbines. Conducted sensitivity analyses rather indicate that the best strategy highly depends on various turbine-specific aspects, especially the location, type and maintenance costs as well as exogenous factors, including the developments of electricity spot market prices and tendered feed-in premiums. In light of latest trends regarding the exogenous factors, lifetime extension and repowering potentials increase. However, the results also indicate that dismantling, disposal and recycling of numerous ageing turbines will become a major challenge for the wind energy sector in the next decade.

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Cite this

Lifetime Extension, Repowering or Decommissioning? Decision Support for Operators of Ageing Wind Turbines. / Piel, J. H.; Stetter, C.; Heumann, M. et al.
In: Journal of Physics: Conference Series, Vol. 1222, No. 1, 012033, 05.2019.

Research output: Contribution to journalConference articleResearchpeer review

Piel JH, Stetter C, Heumann M, Westbomke M, Breitner MH. Lifetime Extension, Repowering or Decommissioning? Decision Support for Operators of Ageing Wind Turbines. Journal of Physics: Conference Series. 2019 May;1222(1):012033. Epub 2019 May 21. doi: 10.1088/1742-6596/1222/1/012033, 10.15488/10226
Piel, J. H. ; Stetter, C. ; Heumann, M. et al. / Lifetime Extension, Repowering or Decommissioning? Decision Support for Operators of Ageing Wind Turbines. In: Journal of Physics: Conference Series. 2019 ; Vol. 1222, No. 1.
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abstract = "In Germany, more than one third of the installed wind energy capacity will leave the feed-in tariff funding between 2021 and 2025. Operators of affected turbines are therefore increasingly concerned with the design of profitable end-of-funding strategies. This requires feasibility analyses of both lifetime extension and repowering options and entails the subsequent challenge to determine the optimal lifetime extension and corresponding repowering timing. To support operators and other stakeholders dealing with wind turbines' end-of-life issues, this study presents a geographic information system that permits evaluating optimal end-of-funding strategies at different spatial scales reaching down to detailed analyses on individual turbine level. The decision support system processes topographic, wind, turbine, and finance data in an integrated system of resource simulations, spatial planning analyses and economic viability assessments. Case-study results show that a uniform end-of-funding strategy cannot be applied to all ageing turbines. Conducted sensitivity analyses rather indicate that the best strategy highly depends on various turbine-specific aspects, especially the location, type and maintenance costs as well as exogenous factors, including the developments of electricity spot market prices and tendered feed-in premiums. In light of latest trends regarding the exogenous factors, lifetime extension and repowering potentials increase. However, the results also indicate that dismantling, disposal and recycling of numerous ageing turbines will become a major challenge for the wind energy sector in the next decade.",
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note = "Funding Information: We gratefully acknowledge the financial support of the German Research Foundation (DFG) (research project ”Entwicklung eines Wirkmodells f{\"u}r eine effiziente Gestaltung von Demontagenetzwerken f{\"u}r XXL-Produkte” (UL 419/6-1) funded by the DFG) that enabled this work.; WindEurope Conference and Exhibition 2019 ; Conference date: 02-04-2019 Through 04-04-2019",
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AU - Piel, J. H.

AU - Stetter, C.

AU - Heumann, M.

AU - Westbomke, M.

AU - Breitner, M. H.

N1 - Funding Information: We gratefully acknowledge the financial support of the German Research Foundation (DFG) (research project ”Entwicklung eines Wirkmodells für eine effiziente Gestaltung von Demontagenetzwerken für XXL-Produkte” (UL 419/6-1) funded by the DFG) that enabled this work.

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N2 - In Germany, more than one third of the installed wind energy capacity will leave the feed-in tariff funding between 2021 and 2025. Operators of affected turbines are therefore increasingly concerned with the design of profitable end-of-funding strategies. This requires feasibility analyses of both lifetime extension and repowering options and entails the subsequent challenge to determine the optimal lifetime extension and corresponding repowering timing. To support operators and other stakeholders dealing with wind turbines' end-of-life issues, this study presents a geographic information system that permits evaluating optimal end-of-funding strategies at different spatial scales reaching down to detailed analyses on individual turbine level. The decision support system processes topographic, wind, turbine, and finance data in an integrated system of resource simulations, spatial planning analyses and economic viability assessments. Case-study results show that a uniform end-of-funding strategy cannot be applied to all ageing turbines. Conducted sensitivity analyses rather indicate that the best strategy highly depends on various turbine-specific aspects, especially the location, type and maintenance costs as well as exogenous factors, including the developments of electricity spot market prices and tendered feed-in premiums. In light of latest trends regarding the exogenous factors, lifetime extension and repowering potentials increase. However, the results also indicate that dismantling, disposal and recycling of numerous ageing turbines will become a major challenge for the wind energy sector in the next decade.

AB - In Germany, more than one third of the installed wind energy capacity will leave the feed-in tariff funding between 2021 and 2025. Operators of affected turbines are therefore increasingly concerned with the design of profitable end-of-funding strategies. This requires feasibility analyses of both lifetime extension and repowering options and entails the subsequent challenge to determine the optimal lifetime extension and corresponding repowering timing. To support operators and other stakeholders dealing with wind turbines' end-of-life issues, this study presents a geographic information system that permits evaluating optimal end-of-funding strategies at different spatial scales reaching down to detailed analyses on individual turbine level. The decision support system processes topographic, wind, turbine, and finance data in an integrated system of resource simulations, spatial planning analyses and economic viability assessments. Case-study results show that a uniform end-of-funding strategy cannot be applied to all ageing turbines. Conducted sensitivity analyses rather indicate that the best strategy highly depends on various turbine-specific aspects, especially the location, type and maintenance costs as well as exogenous factors, including the developments of electricity spot market prices and tendered feed-in premiums. In light of latest trends regarding the exogenous factors, lifetime extension and repowering potentials increase. However, the results also indicate that dismantling, disposal and recycling of numerous ageing turbines will become a major challenge for the wind energy sector in the next decade.

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