Economic Aspects of Prognostics and Health Management Systems in the Wind Industry
##plugins.themes.bootstrap3.article.main##
##plugins.themes.bootstrap3.article.sidebar##
Abstract
Since Wind Turbines are one of the most dynamically stressed structures, all parts should be subjected to Prognostics and Health Management System. This is especially true for the supporting structure since it is exposed to high fatigue loads. The current technical trend in the O&M business is to improve the life-time of these supporting structures. In particular, when considering the supporting structure of a wind turbine from a civil engineering perspective; a long term approach is most beneficial in financial, ecological and social aspects. To meet the challenge of managing the life-time of wind turbine supporting structures efficiently, it is necessary to develop technical concepts assessing the consumed life-time of a wind turbine. Future PHM systems of wind turbines must include this function.
The global O&M market in the wind energy industry grew in the period from 2005 to 2011 at a rate of around 18 per cent, annually. The main growth driver is the aging overall turbine park. Especially in the European onshore wind market there will be a profit migration of the O&M business at the expense of new construction until 2020. Until the year 2020, three quarters of the total profit in the wind energy industry will be occupied by O&M services (Oliver Wymann, 2011).
This paper discusses the special economic aspects of Prognostics and Health Management Systems focusing on a remaining lifetime prediction as a basic maintenance system in application within the wind industry. Besides studies of the future O&M market development, concepts to lower the levelized cost of energy through PHM from a macroeconomic perspective will also be discussed.
Keywords: Wind O&M market, Lifetime management, Levelized cost of energy, return on investment analysis.
How to Cite
##plugins.themes.bootstrap3.article.details##
Levelized Cost of Energy, Wind O&M market, Lifetime management, return on investment analysis
BWE, (2012). Two-thirds of all operators use full-service contracts. Wind Energy Market 2012. Bundesverband WindEnergie e.V., Berlin, Germany.
Deloitte / TaylorWessing, (2012). European Wind Service Study. Know how the land lies. Deloitte / TaylorWessing. Berlin/Hamburg, Germany.
Deutsche WindGuard GmbH, (2013a). Status des Windenergieausbaus an Land in Deutschland. Deutsche WindGuard GmbH. Varel, Germany.
Deutsche WindGuard GmbH, (2013b). Kostensituation der Windenergie an Land in Deutschland. Deutsche WindGuard GmbH. Varel, Germany.
Durham University, (2011). Reliability focused research on optimizing Wind Energy systems design, operation and maintenance: tools, proof of concepts, guidelines & methodologies for a new generation. Durham University. Durham, UK.
EWEA, (2013). Wind in Power. 2012 European Statistics. European Wind Energy Association. Brussels, Belgium.
Fraunhofer ISE, (2013). Stromgestehungskosten Erneuerbare Energien. Fraunhofer Institut für Solare Energiesysteme. Freiburg, Germany.
Fraunhofer IWES, (2013). Windenergie Report Deutschland 2012. Fraunhofer Institut für Windenergie und Energiesystemtechnik. Kassel, Germany.
GWEC, (2012). Global Wind Energy Outlook 2012. Global Wind Energy Council. Brussels, Belgium.
IRENA, (2012). Renewable Energy Technologies: Cost Analysis Series. Wind Power. International Renewable Energy Agency. Abu Dhabi, United Arab Emirates.
Oliver Wymann, (2011). Wind 2020+: Boom-market O&M. The underestimated profit machine. Olyver Wymann. München, Germany.
Sandborn, P. (2009). PHM Return on Investment (ROI). Use of PHM in Maintenance Planing. University of Maryland. MD, USA.
The Prognostic and Health Management Society advocates open-access to scientific data and uses a Creative Commons license for publishing and distributing any papers. A Creative Commons license does not relinquish the author’s copyright; rather it allows them to share some of their rights with any member of the public under certain conditions whilst enjoying full legal protection. By submitting an article to the International Conference of the Prognostics and Health Management Society, the authors agree to be bound by the associated terms and conditions including the following:
As the author, you retain the copyright to your Work. By submitting your Work, you are granting anybody the right to copy, distribute and transmit your Work and to adapt your Work with proper attribution under the terms of the Creative Commons Attribution 3.0 United States license. You assign rights to the Prognostics and Health Management Society to publish and disseminate your Work through electronic and print media if it is accepted for publication. A license note citing the Creative Commons Attribution 3.0 United States License as shown below needs to be placed in the footnote on the first page of the article.
First Author et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 United States License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.