idw – Informationsdienst Wissenschaft

Nachrichten, Termine, Experten

Grafik: idw-Logo
Grafik: idw-Logo

idw - Informationsdienst
Wissenschaft

Science Video Project
idw-Abo

idw-News App:

AppStore

Google Play Store



Instanz:
Teilen: 
27.09.2016 15:24

Tackling remaining cost drivers in wind energy

Uwe Krengel Pressestelle
Fraunhofer Institut für Windenergie und Energiesystemtechnik IWES

    Scientists at Fraunhofer IWES in Kassel aim to contribute to further cost reductions in wind energy use. They will present results of an large scale expert survey on future cost reduction potential, a simulation model on the failure characteristics of wind turbines and recommended practices for reliability data including an own seminar at the Wind Europe Summit 2016 in Hamburg, the world's largest wind energy event.

    Cost reduction potential for electricity generation costs of wind energy was identified in a large-scale expert survey led by the Lawrence Berkeley Labs in California in collaboration with Fraunhofer IWES, within the framework of Research Group 26 of the International Energy Agency (IEA) Wind section. Volker Berkhout of IWES will show the results in the presentation "Forecasting Wind Energy Costs and Cost Drivers – The Views of the World's Leading Experts".

    Industry experts expect an additional 24% reduction in onshore costs and 30% in offshore costs by 2030 as compared to 2014. The greatest contribution to the reduction in costs is due to higher yields from larger and improved rotors and lower investment costs for wind farms on land. Declining capital expenditures as well as lower financing costs are expected to be the main cost reduction driver offshore.

    "Our work paves the way for a reduction in the cost of wind energy and a further increase in operational reliability. The wind industry worldwide will benefit from recommendations for the standardized collection of maintenance data," said Berthold Hahn, head of the Department of Wind Farm Planning and Operations at Fraunhofer IWES.

    In the future, simulation tools will be incredibly important in choosing optimal maintenance strategies and allocation of resources, for example the number of ships or technicians for an offshore wind farm, and will reduce operating and maintenance costs. A better description of wind turbines' failure characteristics is needed in order to enable the planning of preventive maintenance strategies. Stefan Faulstich of IWES reports on a developed prediction model in his contribution "Modelling the failure behaviour of wind turbines", which takes the various relevant factors into account.

    Systematically gathering reliability-relevant data is a fundamental basis of such modelling. At an industry seminar linked to the WindEurope Summit 2016 in Hamburg, IWES will discuss new recommendations for the recording of operating data and their utilization in optimizing operation and maintenance with representatives of the industry. The scientists have been leading the IEA Wind Research Group (Task 33 "Reliability Data") for four years and have developed the above-mentioned recommendations together with experts from a total of 11 countries (Recommended Practices for Data Collection and Reliability Assessment for O&M Optimization of Wind Turbines).

    One important finding is that while subsequent data users pursue individual goals with their evaluations, datasets that are targeted to relevant guidelines allow for almost any type of evaluation. However, operators are still required to adapt the guidelines to their own tasks.

    In addition to the seminar, Berthold Hahn of IWES will present the work group's most important results to the wind conference audience in the lecture "Recommended practices for data collection, reliability assessment and O&M optimisation".

    Expert contact:
    Dipl.-Ing. Berthold Hahn, Head of Wind Park Planning and Operation
    Fraunhofer IWES | Energy System Technolgy
    E-Mail: berthold.hahn@iwes.fraunhofer.de
    Phone: +49-561-7294-229


    Weitere Informationen:

    http://www.ieawind.org/task_26_public/task26_results.html IEA Wind Task 26: Cost of Wind Energy, Ergebnisse und Materialien zur Expertenbefragung
    http://www.ieawind.org/task_33.html IEA Wind Task 33: Reliability Data: Standardizing data collection, for wind turbine reliability and O&M analyses


    Bilder

    Expected reductions in electricity generation costs of wind energy 2020, 2030 and 2050; median of the “Best Guess" scenario from the expert survey
    Expected reductions in electricity generation costs of wind energy 2020, 2030 and 2050; median of th ...
    Quelle: Lawrence Berkeley National Laboratory / IEA Wind Task 26

    Data collection and analysis: The "Recommended Practices" from the International Energy Agency Wind section (IEA Wind), to be published at the end of the year, will give clear indications.
    Data collection and analysis: The "Recommended Practices" from the International Energy Agency Wind ...
    Quelle: IEA Wind Task 33


    Anhang
    attachment icon PR Fraunhofer IWES WindEuropeSummit2016

    Merkmale dieser Pressemitteilung:
    Journalisten
    Elektrotechnik, Energie, Informationstechnik, Maschinenbau, Umwelt / Ökologie
    überregional
    Forschungs- / Wissenstransfer, Forschungsprojekte
    Englisch


     

    Hilfe

    Die Suche / Erweiterte Suche im idw-Archiv
    Verknüpfungen

    Sie können Suchbegriffe mit und, oder und / oder nicht verknüpfen, z. B. Philo nicht logie.

    Klammern

    Verknüpfungen können Sie mit Klammern voneinander trennen, z. B. (Philo nicht logie) oder (Psycho und logie).

    Wortgruppen

    Zusammenhängende Worte werden als Wortgruppe gesucht, wenn Sie sie in Anführungsstriche setzen, z. B. „Bundesrepublik Deutschland“.

    Auswahlkriterien

    Die Erweiterte Suche können Sie auch nutzen, ohne Suchbegriffe einzugeben. Sie orientiert sich dann an den Kriterien, die Sie ausgewählt haben (z. B. nach dem Land oder dem Sachgebiet).

    Haben Sie in einer Kategorie kein Kriterium ausgewählt, wird die gesamte Kategorie durchsucht (z.B. alle Sachgebiete oder alle Länder).