@article{meissner2022advantages,
  title = {Advantages For Portfolio Management Through Cost Scaling Equations for Offshore Wind Turbine Components},
  author = {Maximilian MEISSNER and Michal GREGUS},
  year = 2022,
  url = {https://ibimapublishing.com/articles/CIBIMA/2022/942296/},
  journal = {Communications of the IBIMA},
  volume = 2022,
  pages = 14,
  doi = 10.5171/2022.942296,
  abstract = {This paper presents the key concerns of offshore wind turbine Original Equipment Manufacturers’ (OEMs) Product Portfolio Management (PPM) functions for the predicted turbine growth. In addition, it provides possible improvements within the portfolio decision process through available cost forecast equations for turbines’ main components. This is done by answering the research question “Will offshore wind OEMs’ PPM benefit from cost forecast equations for turbines’ main components within their portfolio decision process?” The answer to this question is found through an extensive literature review of product portfolio decisions within PPM in the wind industry and through interviews of key experts from a leading offshore wind turbine OEM. The method of qualitative content analysis as outlined by Mayring has been used to analyze the interviews and interpret the findings. It was analyzed if offshore wind turbine OEMs’ PPM agrees to the from the literature predicted turbine growth and what they see as the real risks and cost drivers correlating with it. In addition, it was evaluated if cost forecast equations could improve the CAPEX estimations in the portfolio decision process. The presented results will be used in future research to create accurate cost forecast models for turbines’ main components with the aim of an overall turbine CAPEX scaling model.},
  keywords = {Portfolio Management, Portfolio Decision Making, Offshore Wind Turbines, Cost Scaling, Renewable Energy.},
  note = Article ID: 942296
}