A standardized method to assess production losses due to icing from wind turbine SCADA data. This site describes a method to assess production losses due to icing based on standard SCADA data available from modern wind turbines.
Production losses due to wind turbine rotor icing are calculated with different methods, all resulting in different results. Task 19 has three main reasons why a standardized production loss calculation method is needed:
- There is a large need to compare different sites with each other with a systematic analysis method
- To validate the IEA Ice Classification
- Evaluate effectiveness of various blade heating systems
With the method described here, anyone with access to SCADA data from wind turbines can assess and calculate turbine specific production losses due to icing. The standardized method will use existing standards and will be developed in order to minimize the uncertainties related to production loss estimations from SCADA data. The method does not require icing measurements as input.
Task 19 proposes a method that is robust, easily adaptable, filters outliers automatically and does not assume a normal distribution of the SCADA data for individual turbines and wind farms. The proposed method uses percentiles of the reference, non-iced power curve in combination with temperature measurements. Ice build-up on turbine blades gradually deteriorates the power output (or results to overproduction to iced anemometer) so for increased accuracy the method uses three consecutive 10-minute data points for defining start-stop timestamps for icing events. In other words, the turbine rotor is used as an ice detector. Iced turbine power losses are defined by comparing the performance to the calculated power curve using heated anemometers from nacelle and the measured reference, expected power curve. Production losses are separated into 2 categories: operation and standstill losses due to icing. The different icing event cases are illustrated in the picture below: Event class A, reduced production due to icing, Event Class B, turbine stops due to icing and event class C, apparent overproduction due to icing.
On a general level, the method can be divided into 3 main steps:
- Calculate reference, non-iced power curve
- Calculate start-stop timestamps for different icing event classes
- Calculate production losses due to icing
Below is the list of required SCADA data signals used as input for the production loss calculation method.
| Signal | Description | Unit | Value |
|---|---|---|---|
| ws | Hub height wind speed | m/s | 10-minute mean |
| temp | Ambient temperature (hub height) | °C | 10-minute mean |
| pwr mean | Turbine output power | kW | 10-minute mean |
| mode | Turbine operational mode | - | 10-minute mean |
The production loss calculator is configured by setting up a config file. Then calling the script t19_counter.py by giving the ini file as a command line parameter as :
python t19_counter.py site.ini
where site.ini contains the case definition relevant for your site. See the included documentation for more details on how to set up the .ini file.
The International Energy Agency Implementing Agreement for Co-operation in the Research, Development and Deployment of Wind Energy Systems (IEA Wind) is a vehicle for member countries to exchange information on the planning and execution of national, large-scale wind system projects and to undertake co-operative research and development projects called Tasks or Annexes. IEA Wind is part of IEA’s Technology Collaboration Programme or TCP.
For the wind industry, cold climate refers to sites that may experience significant periods of icing events, temperatures below the operational limits of standard wind turbines, or both. There is vast potential for producing electricity at these often windy and uninhabited cold climate sites. Consequently, the International Energy Agency Wind Agreement has since 2002, operated the international working group Task 19 Wind Energy in Cold Climates. The goal of this cooperation is to gather and disseminate information about wind energy in cold climates and to establish guidelines and state-of-the-art information.
The IEA Wind agreement, also known as the Implementing Agreement for Co-operation in the Research, Development, and Deployment of Wind Energy Systems, functions within a framework created by the International Energy Agency (IEA). Views, findings, and publications of IEA Wind do not necessarily represent the views or policies of the IEA Secretariat or of all its individual member countries.
The code is available under the Three Clause BSD License.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent