FarmConners market showcase results: wind farm flow control considering electricity prices

Kölle, Konstanze; Göçmen, Tuhfe; Eguinoa, Irene; Alcayaga Román, Leonardo Andrés; Aparicio-Sanchez, Maria; Feng, Ju; Meyers, Johan; Pettas, Vasilis; Sood, Ishaan

doi:https://doi.org/10.5194/wes-7-2181-2022

Articles | Volume 7, issue 6

https://doi.org/10.5194/wes-7-2181-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-7-2181-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 7, issue 6

Research article

|

03 Nov 2022

Research article |

| 03 Nov 2022

FarmConners market showcase results: wind farm flow control considering electricity prices

Konstanze Kölle, Tuhfe Göçmen, Irene Eguinoa, Leonardo Andrés Alcayaga Román, Maria Aparicio-Sanchez, Ju Feng, Johan Meyers, Vasilis Pettas, and Ishaan Sood

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Final revised paper (published on 03 Nov 2022)
Preprint (discussion started on 29 Mar 2022)

Interactive discussion

Status: closed

RC1: 'Comment on wes-2022-25', Anonymous Referee #1, 29 Apr 2022

This paper presents an interesting study wherin different participants model the benefits of turbine or farm control in a market context and compare the impact both on energy production as well as expected revenue. I think it is a really useful exercise, to see these comparisons made in an open-access journal, and using seperate research departments, models and controllers adds a degree of internal variation that is really helpful in assessing how particular the results are to any specific set of assumptions.

Reading the paper I didn't identify too much to critisize. I therefore have just a general comments.

My main thought was that some of the comparisons might benefit from some extra context. In the case of energy gain, I was interested to see (and apologies if I simply missed it) some information on how each model predicts the overall starting wake losses for the two farm types. In other words the percentage difference in AEP for the farm with and without wakes.

Then for additioinal context on the revenue side, what would be the overall initial expected revenue of the farm. What I would be very curious to see if it would be possible would be table where each case study (P2-P5) is a row with columns like: annual revenue, delta revenue, annual profit (if it were possible to assume some cost model), expected delta profit. Was just wanted to see a rough gauge on the significance in these changes in revenue.

Finally, I had a question on comparing the EUR in 2020 versus 2030. I'm not an expert in economics, but was wondering, is there a need to control the value of the EUR between these 10 years, so that both are expressed in 2020 EUR or similar?

Citation: https://doi.org/10.5194/wes-2022-25-RC1
RC2: 'Comment on wes-2022-25', Anonymous Referee #2, 12 Jun 2022

Please see the attached document.

Citation: https://doi.org/10.5194/wes-2022-25-RC2
AC1: 'Comment on wes-2022-25', Konstanze Kölle, 10 Aug 2022

Thank you for the time reviewing our manuscript and your helpful comments! Please find our reply in the supplement.

Citation: https://doi.org/10.5194/wes-2022-25-AC1

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload

AR by Konstanze Kölle on behalf of the Authors (06 Sep 2022) Author's response Author's tracked changes Manuscript

ED: Publish subject to minor revisions (review by editor) (17 Sep 2022) by Sara C. Pryor

I kindly request you ensure you have fully responded to the reviewers comments in terms of making changes to the manuscript. Also for future reference it would be very helpful in the response to reviewers actually state specifically how the manuscript was changed rather then saying it will be changed.
For example;
Reviewer #1. Comment #1. you reply with 'Response to comment No. 1: We will provide a measure of wake loss utilising the available results from the participants for the simulated showcase. The simulations were performed with and without wind farm flow control. The latter provides the predicted power output with each wake model which can be related to the theoretical power output without wakes using the turbine’s power curve and the inflow wind speed.
However, the data set does not cover a whole year and the wake loss will only be computed for the high-prices showcases.' but I can not see you have done so in the manuscript.
2) Reviewer #1, comment #3. I believe you should describe in the manuscript HOW price time series for 2020 and 2030 are 'adjusted' to the price level of 2012.
3) You provide a motivation in the response to reviewer #2 but not in the manuscript. I kindly ask you provide a motivation in the actual manuscript Ditto for the general comment #1.
4) in response to some reviewer comments you state this or that is described in other papers. but each scientific paper should be comprehensible as a stand-alone piece of work so I kindly ask you do include brief explanatory summaries.
I will not list additional examples but kindly ask that you re-read all review comments and ensure that you have responded to each both in terms of specific details in the response to review and in changes to the actual manuscript. I look forward to seeing your revision!.

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AR by Konstanze Kölle on behalf of the Authors (26 Sep 2022) Author's response Author's tracked changes Manuscript

ED: Publish as is (30 Sep 2022) by Sara C. Pryor

ED: Publish as is (07 Oct 2022) by Jakob Mann (Chief editor)

AR by Konstanze Kölle on behalf of the Authors (10 Oct 2022) Author's response Manuscript

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Short summary

The paper studies wind farm flow control (WFFC) in simulations with variable electricity prices. The results indicate that considering the electricity price in the operational strategy can be beneficial with respect to the gained income compared to focusing on the power gain only. Moreover, revenue maximization by balancing power production and structural load reduction is demonstrated at the example of a single wind turbine.