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Economic Evaluation of Maintenance Strategies for Offshore Wind Turbines Based on Condition Monitoring Systems

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Abstract

An offshore wind farm’s cost of energy is, to a large extent, driven by operation and maintenance costs. Through the optimization of the maintenance strategies for offshore wind farms, the Levelized Cost of Energy (LCOE) will be further reduced, which will ceteris paribus lead to a higher competitiveness of offshore wind farms with other energy sources. This study pro-poses an event-based simulation of an offshore wind farm comprising 400 MW. The aim of the model is to minimize the total cost, and thus to maximize the revenues from the wind farm. Therefore, corrective, condition-based, and scheduled maintenance strategies are compared, and constraints, such as weather conditions and service team shifts, are taken into consideration. When hourly electricity spot prices are applied instead of feed-in tariffs, results show that weekly scheduled maintenance on a Saturday dayshift (starting at 8 am) is the most cost-efficient scenario. Condition monitoring systems have been found to be advantageous and are set as a standard application regarding the turbines. The impact of scheduled maintenance fre-quency, the distance between the offshore site and the coast, the interest rate, and altering reli-ability data are further analyzed.

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  • Walgern, Julia & Peters, Lennart & Madlener, Reinhard, 2017. "Economic Evaluation of Maintenance Strategies for Offshore Wind Turbines Based on Condition Monitoring Systems," FCN Working Papers 8/2017, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    • Handle: RePEc:ris:fcnwpa:2017_008
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    Cited by:

    1. Pereira, Guillermo Ivan & Specht, Jan Martin & Silva, Patrícia Pereira & Madlener, Reinhard, 2018. "Technology, business model, and market design adaptation toward smart electricity distribution: Insights for policy making," Energy Policy, Elsevier, vol. 121(C), pages 426-440.
    2. Hendrik Schmitz and Reinhard Madlener, 2020. "Direct and Indirect Energy Rebound Effects in German Households: A Linearized Almost Ideal Demand System Approach," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5), pages 89-118.
    3. Heesen, Florian & Madlener, Reinhard, 2021. "Revisiting heat energy consumption modeling: Household production theory applied to field experimental data," Energy Policy, Elsevier, vol. 158(C).
    4. Ren, Zhengru & Verma, Amrit Shankar & Li, Ye & Teuwen, Julie J.E. & Jiang, Zhiyu, 2021. "Offshore wind turbine operations and maintenance: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    5. Specht, Jan Martin & Madlener, Reinhard, 2018. "Business Models for Energy Suppliers Aggregating Flexible Distributed Assets and Policy Issues Raised," FCN Working Papers 7/2018, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    6. Höwer, Daniel & Oberst, Christian A. & Madlener, Reinhard, 2017. "Regionalization Heuristic to Map Spatial Heterogeneity of Macroeconomic Impacts: The Case of the Green Energy Transition in NRW," FCN Working Papers 13/2017, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised 01 Feb 2019.
    7. Nguyen, Thi-Anh-Tuyet & Chou, Shuo-Yan & Yu, Tiffany Hui-Kuang, 2022. "Developing an exhaustive optimal maintenance schedule for offshore wind turbines based on risk-assessment, technical factors and cost-effective evaluation," Energy, Elsevier, vol. 249(C).

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    More about this item

    Keywords

    Offshore wind; Predictive maintenance strategy; LCOE; Condition monitoring;
    All these keywords.

    JEL classification:

    • M00 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - General - - - General
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

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