Evaluation of the Impact of Weather-Related Limitations on the Installation of Offshore Wind Turbine Towers

Weather conditions have a significant impact on the installation of offshore wind turbines. The rules for installation set clear limits. These limits are usually based on estimations of various experts and not on real assumptions and measurements on-site. When wind speeds and wave heights are too high, work cannot be carried out, and this leads to delays and additional costs. Therefore, we have carried out a measurement campaign during the installation of rotor blades to investigate to which extent the limits can be adjusted by using a tuned mass damper. The results from the measurement campaign—specifically empirically derived significant wave height limits—are used in a discrete event simulation. This study simulates delays resulting from weather conditions. Based on this, the total installation costs are considered. The results of the measurement campaign show that a safe installation with the use of a damper is possible at wave heights of up to 1.6 m. With the discrete event simulation, it is possible to prove that 17.9% can be saved for the costs of the installation vessel. In addition, the wind farm could be erected 32 days faster. Thus, it can be stated that the use of a tuned mass damper simplifies the installation from a technical point of view and is economical.

[1]  Zhiyu Jiang,et al.  Installation of offshore wind turbines: A technical review , 2021 .

[2]  Zhiyu Jiang,et al.  A probabilistic long‐term framework for site‐specific erosion analysis of wind turbine blades: A case study of 31 Dutch sites , 2020, Wind Energy.

[3]  Andreas F. Haselsteiner,et al.  Relative Motion During Single Blade Installation: Measurements From the North Sea , 2020, Volume 9: Ocean Renewable Energy.

[4]  W. Shi,et al.  Effect of a Passive Tuned Mass Damper on Offshore Installation of a Wind Turbine Nacelle , 2020, Ocean Engineering.

[5]  Zhiyu Jiang,et al.  Effects of a passive tuned mass damper on blade root impacts during the offshore mating process , 2020 .

[6]  Zhengru Ren,et al.  Response-Based Assessment of Operational Limits for Mating Blades on Monopile-Type Offshore Wind Turbines , 2019, Energies.

[7]  Geert Lombaert,et al.  Motion tracking of a wind turbine blade during lifting using RTK-GPS/INS , 2018, Engineering Structures.

[8]  Jochen Großmann,et al.  Floating offshore wind - Economic and ecological challenges of a TLP solution , 2018, Renewable Energy.

[9]  Zhiyu Jiang,et al.  A parametric study on the final blade installation process for monopile wind turbines under rough environmental conditions , 2018, Engineering Structures.

[10]  Zhengru Ren,et al.  Active tugger line force control for single blade installation , 2018, Wind Energy.

[11]  K. Thoben,et al.  A Simulation Study of Feeder-Based Installation Concepts for Offshore Wind Farms , 2018 .

[12]  Zhiyu Jiang The impact of a passive tuned mass damper on offshore single-blade installation , 2018 .

[13]  Evangelos Boulougouris,et al.  A mixed-method optimisation and simulation framework for supporting logistical decisions during offshore wind farm installations , 2018, Eur. J. Oper. Res..

[14]  Yohannes Tekle Muhabie,et al.  A discrete-event simulation approach to evaluate the effect of stochastic parameters on offshore wind farms assembly strategies , 2018 .

[15]  K. Thoben,et al.  A Study of New Installation Concepts of Offshore Wind Farms by Means of Simulation Model , 2017 .

[16]  Thies Beinke,et al.  Resource Sharing in the Logistics of the Offshore Wind Farm Installation Process based on a Simulation Study , 2017 .

[17]  Chandra Ade Irawan,et al.  Bi-objective optimisation model for installation scheduling in offshore wind farms , 2017, Comput. Oper. Res..

[18]  Iris F. A. Vis,et al.  Assessment approaches to logistics for offshore wind energy installation , 2016 .

[19]  Evangelos Boulougouris,et al.  Exploring the impact of innovative developments to the installation process for an offshore wind farm , 2015 .

[20]  Yue Wang,et al.  Supervisory control and data acquisition data-based non-linear state estimation technique for wind turbine gearbox condition monitoring , 2013 .

[21]  Yingning Qiu,et al.  Wind turbine SCADA alarm analysis for improving reliability , 2012 .

[22]  Yu Ding,et al.  Simulation of wind farm operations and maintenance using discrete event system specification , 2011, Simul..

[23]  K. Thoben,et al.  MONITORING OF OFFSHORE WIND TURBINES UNDER WAVE AND WIND LOADING DURING INSTALLATION , 2020, XI International Conference on Structural Dynamics.

[24]  B. Feng,et al.  A MIXED-INTEGER FORMULATION TO OPTIMIZE THE RESUPPLY OF COMPONENTS FOR THE INSTALLATION OF OFFSHORE WIND FARMS , 2020 .

[25]  Helena Szczerbicka,et al.  A Review on the Planning Problem for the Installation of Offshore Wind Farms , 2019, IFAC-PapersOnLine.

[26]  Subhamoy Bhattacharya,et al.  Challenges in Design of Foundations for Offshore Wind Turbines , 2014 .

[27]  Paul Fleming,et al.  Use of SCADA Data for Failure Detection in Wind Turbines , 2011 .

[28]  Yingning Qiu,et al.  Use of SCADA and CMS signals for failure detection and diagnosis of a wind turbine gearbox , 2011 .

[29]  S. Butterfield,et al.  Energy from Offshore Wind , 2006 .

[30]  M. Lütjen,et al.  Simulation-based aggregate Installation Planning of Offshore Wind Farms , 2022 .