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Delegates are invited to meet and discuss with the poster presenters during the poster presentation sessions between 10:30-11:30 and 16:00-17:00 on Thursday, 19 November 2015.

Lead Session Chair:
Stephan Barth, ForWind - Center for Wind Energy Research, Germany
Teresa Arlaban Acciona Windpower, Spain
Co-authors:
Teresa Arlaban (1) F Alfonso Ruiz (1) Elena Llorente (1) Miguel Angel Hernandez (1)
(1) Acciona Windpower, Sarriguren, Spain

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Presenter's biography

Biographies are supplied directly by presenters at EWEA 2015 and are published here unedited

Teresa Arlaban Gabeiras, received the M.Sc. degree in Industrial Engineer in 2007 and she has since then been working in the ACCIONA Windpower R&D Department. Since July 2012, she is the Head of the Research and Patents area. She has been involved in several research projects dealing mainly with grid integration issues, power curve improvements, load mitigation strategies and drive train analysis. She has also been leading the development of Acciona Windpower De&Anti-icing system for its 3 MW wind turbine.

She is the co-author of more than 10 papers for international conferences and more than 20 patent applications.


Poster

Poster Download poster (9.95 MB)

Abstract

New methodology to accurately account for De & Anti-icing system benefits in wind farm resource assessment studies

Introduction

A great number of locations can be found over the world where low temperatures following icing events are frequent, being those locations as well usually windy. To take advantage of such places, wind farm developers are looking for wind turbines with systems able to minimize energy losses caused by ice-related non-availability and power curve degradation.

Several types of devices are conceived for this purpose, namely active systems (anti-icing or de-icing) or passive systems like coatings. The way they operate differs from one to another and therefore, appropriate models to quantify the specific energy increase each system can provide and check its payback are needed.


Approach

The energy losses avoided by a wind turbine fitted with a de- icing and/or anti-icing system can differ depending on the type of system used and the way it is controlled (if so). A characterization of the system has to be done in order to calculate the envelope of ambient conditions in which they are effective and time to remove ice.

But apart from characterizing their effectiveness in an accurate way, one of the most challenging issues is how to take into account site specific conditions as the energy increase each of them can provide depends on ambient conditions during meteorological icing periods but also right afterwards.

Therefore, statistical analysis of time series of ambient data at each location is required in order to match them with the heating system mode of operation and its effectiveness so as to get an average AEP increase.


Main body of abstract

In this paper, a De&Anti-Icing system characterization is presented in order to obtain a set of envelopes in which it may be effective, i.e. when it can prevent or remove ice. Not only the effect of wind speed and temperature but also the effect of ice thickness on the efficiency of the heating system will be assessed.
Acciona Windpower has developed a tool to calculate in which ambient conditions the AW3000 Anti&De-icing System can be effective in each of its operating modes so as to get an envelope that will be used in resource assessments.

Also, representative power curves for use in resource assessment studies (both iced power curves and De-iced power curves) are calculated and presented in this paper.

Then, a methodology to obtain valuable information out of historical time series of ambient parameters at the site is presented so as to statistically analyze icing conditions and right-after-icing conditions at the site. Those are crossed with the calculated Anti&De-icing System envelopes to get the average number of hours at the site in which ice will be prevented and or removed. This enables to apply the right power curves so as to calculate AEP increase taking into account not only the information during meteorological icing but also statistical data of ambient conditions right after icing periods.

Finally, the methodology will be applied to a site location to compute the benefits of utilizing the AW3000 De&Anti-icing system.


Conclusion

A new methodology for computing the benefits of Anti and De-icing systems in resource assessments has been proposed.

After briefly discussing on how to calculate the effectiveness of such systems and its challenges, a site characterization procedure has been presented that enables statistical analysis of wind speed and temperature conditions after icing events to: i. check if the systems will be effective in those conditions and ii. calculate energy recovered by such systems when compared to wind turbines with non-heated blades.



Learning objectives
1. Present the challenges of calculating the benefits of anti and de-icing systems for wind turbines in terms of energy production.
2. Learn how to characterize their effectiveness.
3. Discover a new methodology to process historical meteorological data based on time series information to accurately obtain the annual energy production increase.