Quantification of the Information Loss Resulting from Temporal Aggregation of Wind Turbine Operating Data

Round 1

Reviewer 1 Report

The manuscript entitled “Quantification of the Information Loss Resulting from Temporal Aggregation of Wind Turbine Operating Data” deals with a very interesting and innovative topic in wind energy literature.

 

The paper deals with a systematic analysis of the effect of temporal aggregation on wind turbine DATA. The authors process a huge quantity of data from real-world operating wind turbines, with sampling time of 1 second, and investigate several aggregation times up to the typical one in SCADA data analysis (10 minutes).

 

The paper is very well written and the results are clear and well presented. I think that this study could be very interesting for wind turbine scholars.

 

Basing on these considerations, I have just few minor remarks and questions, which I list here on:

 

• How do the authors treat wind turbine stops and malfunctioning? As the authors said in the paper, when aggregating on 10 minutes time scale, the SCADA system provides a counter indicating the number of run seconds. Do you filter (at least roughly) on wind turbine run based on an indicative power curve or use completely raw data?
• The author report that the temporal behavior of some internal temperatures is remarkably different for some wind turbines from the selected fleet. Do the authors have indication that these wind turbines are affected by incoming damages? Or are there issues with the sensors? I am very interested about this result and I would like to understand if it provides diagnostic indication.
• What is the pitch control of the wind turbines? Hydraulic or electric? I guess that this has a consequence on the effect of the aggregation and I am therefore interested in this information.
• I suggest a couple of reference dealing with, respectively, the analysis of temporal aggregation on wind turbine power curve and on the analysis of wakes using time resolved and aggregated data.
• Castellani, F., Mana, M., & Astolfi, D. (2018, June). An experimental analysis of wind and power fluctuations through time-resolved data of full scale wind turbines. In Journal of Physics: Conference Series (Vol. 1037, No. 7, p. 072042). IOP Publishing.
• Castellani, F., Sdringola, P., & Astolfi, D. (2018). Analysis of wind turbine wakes through time-resolved and SCADA data of an onshore wind farm. Journal of Solar Energy Engineering, 140(4).
• Basing on the above consideration, I am interested to inquire if the authors have considered the possibility of distinguishing the normal operation with respect to the operation under wake. Do the authors think that this could have an effect on the results?

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

The authors present an extensive, interesting and well structured work. The approach made is interesting considering different research questions Q1, Q2 and Q3 and how they are approached. It is also interesting how the hypothesis test shown in section 4.1.2 was made. The discussions raised are suitable to justify the present limitations as well as other aspects to bear in mind.

Some suggestions to improve the article are:

1. In the first line of the abstract can be convenient to place: SCADA (Supervisory Control And Data Acquisition).

2. Considering the extension of the work, it is recommended to add in the introduction a figure (as a graphical abstract) to observe the different aspects treated in the article.

3. It is recommended to add an introduction paragraph in section ‘‘4.1.1. Comparison of Descriptive Statistics’’ in order to understand the topics covered in this section.

4. The equation before line 349 should be numbered.

5. Correct the typo of the double point (..) in line 691.

6. It is suggested to improve the description of algorithm 1.

7. Consider whether it is possible to perform a Fourier analysis taking into account the Nyquist-Shannon sampling theorem (the comment can be made in the discussion or in the conclusions).

Author Response

Please see the attachment.

Author Response File: Author Response.pdf