Data-Centric Monitoring of Wind Farms: Combining Sources of Information

Lawrence A. Bull; Imad Abdallah; Charilaos Mylonas; Luis David Avendaño-Valencia; Konstantinos Tatsis; Paul Gardner; Timothy J. Rogers; Daniel S. Brennan; Elizabeth J. Cross; Keith Worden; Andrew B. Duncan; Nikolaos Dervilis; Mark Girolami; Eleni Chatzi

doi:10.1201/9781003306924-6

Data-Centric Monitoring of Wind Farms: Combining Sources of Information

Lawrence A. Bull, Imad Abdallah, Charilaos Mylonas, Luis David Avendaño-Valencia^*, Konstantinos Tatsis, Paul Gardner, Timothy J. Rogers, Daniel S. Brennan, Elizabeth J. Cross, Keith Worden, Andrew B. Duncan, Nikolaos Dervilis, Mark Girolami, Eleni Chatzi

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

Abstract

This chapter summarizes recent developments in data-centric monitoring of wind farms. We present methodologies which share information from multiple sources. Problems include inter-turbine modeling of wind speed and wake effects; methods for combining multiple emulators; spatially distributed virtual sensing, for the estimation of dynamic loads; hierarchical Bayesian modeling of power relationships at the systems level. We demonstrate how an increasingly holistic approach to wind farm monitoring brings a series of advantages.

Original language	English
Title of host publication	Data Driven Methods for Civil Structural Health Monitoring and Resilience : Latest Developments and Applications
Editors	Mohammad Noori, Carlo Rainieri, Marco Domaneschi, Vasilis Sarhosis
Publisher	CRC Press/Balkema
Publication date	26. Oct 2023
Pages	120-180
ISBN (Electronic)	9781003306924
DOIs	https://doi.org/10.1201/9781003306924-6
Publication status	Published - 26. Oct 2023

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10.1201/9781003306924-6

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Bull, L. A., Abdallah, I., Mylonas, C., Avendaño-Valencia, L. D., Tatsis, K., Gardner, P., Rogers, T. J., Brennan, D. S., Cross, E. J., Worden, K., Duncan, A. B., Dervilis, N., Girolami, M., & Chatzi, E. (2023). Data-Centric Monitoring of Wind Farms: Combining Sources of Information. In M. Noori, C. Rainieri, M. Domaneschi, & V. Sarhosis (Eds.), Data Driven Methods for Civil Structural Health Monitoring and Resilience: Latest Developments and Applications (pp. 120-180). CRC Press/Balkema. https://doi.org/10.1201/9781003306924-6

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title = "Data-Centric Monitoring of Wind Farms: Combining Sources of Information",

abstract = "This chapter summarizes recent developments in data-centric monitoring of wind farms. We present methodologies which share information from multiple sources. Problems include inter-turbine modeling of wind speed and wake effects; methods for combining multiple emulators; spatially distributed virtual sensing, for the estimation of dynamic loads; hierarchical Bayesian modeling of power relationships at the systems level. We demonstrate how an increasingly holistic approach to wind farm monitoring brings a series of advantages.",

author = "Bull, {Lawrence A.} and Imad Abdallah and Charilaos Mylonas and Avenda{\~n}o-Valencia, {Luis David} and Konstantinos Tatsis and Paul Gardner and Rogers, {Timothy J.} and Brennan, {Daniel S.} and Cross, {Elizabeth J.} and Keith Worden and Duncan, {Andrew B.} and Nikolaos Dervilis and Mark Girolami and Eleni Chatzi",

note = "Publisher Copyright: {\textcopyright} 2024 selection and editorial matter, Mohammad Noori, Carlo Rainieri, Marco Domaneschi, and Vasilis Sarhosis; individual chapters, the contributors.",

year = "2023",

month = oct,

day = "26",

doi = "10.1201/9781003306924-6",

language = "English",

pages = "120--180",

editor = "Mohammad Noori and Carlo Rainieri and Marco Domaneschi and Vasilis Sarhosis",

booktitle = "Data Driven Methods for Civil Structural Health Monitoring and Resilience",

publisher = "CRC Press/Balkema",

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Bull, LA, Abdallah, I, Mylonas, C, Avendaño-Valencia, LD, Tatsis, K, Gardner, P, Rogers, TJ, Brennan, DS, Cross, EJ, Worden, K, Duncan, AB, Dervilis, N, Girolami, M & Chatzi, E 2023, Data-Centric Monitoring of Wind Farms: Combining Sources of Information. in M Noori, C Rainieri, M Domaneschi & V Sarhosis (eds), Data Driven Methods for Civil Structural Health Monitoring and Resilience: Latest Developments and Applications. CRC Press/Balkema, pp. 120-180. https://doi.org/10.1201/9781003306924-6

Data-Centric Monitoring of Wind Farms: Combining Sources of Information. / Bull, Lawrence A.; Abdallah, Imad; Mylonas, Charilaos et al.
Data Driven Methods for Civil Structural Health Monitoring and Resilience: Latest Developments and Applications. ed. / Mohammad Noori; Carlo Rainieri; Marco Domaneschi; Vasilis Sarhosis. CRC Press/Balkema, 2023. p. 120-180.

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

TY - CHAP

T1 - Data-Centric Monitoring of Wind Farms

T2 - Combining Sources of Information

AU - Bull, Lawrence A.

AU - Abdallah, Imad

AU - Mylonas, Charilaos

AU - Avendaño-Valencia, Luis David

AU - Tatsis, Konstantinos

AU - Gardner, Paul

AU - Rogers, Timothy J.

AU - Brennan, Daniel S.

AU - Cross, Elizabeth J.

AU - Worden, Keith

AU - Duncan, Andrew B.

AU - Dervilis, Nikolaos

AU - Girolami, Mark

AU - Chatzi, Eleni

PY - 2023/10/26

Y1 - 2023/10/26

N2 - This chapter summarizes recent developments in data-centric monitoring of wind farms. We present methodologies which share information from multiple sources. Problems include inter-turbine modeling of wind speed and wake effects; methods for combining multiple emulators; spatially distributed virtual sensing, for the estimation of dynamic loads; hierarchical Bayesian modeling of power relationships at the systems level. We demonstrate how an increasingly holistic approach to wind farm monitoring brings a series of advantages.

AB - This chapter summarizes recent developments in data-centric monitoring of wind farms. We present methodologies which share information from multiple sources. Problems include inter-turbine modeling of wind speed and wake effects; methods for combining multiple emulators; spatially distributed virtual sensing, for the estimation of dynamic loads; hierarchical Bayesian modeling of power relationships at the systems level. We demonstrate how an increasingly holistic approach to wind farm monitoring brings a series of advantages.

U2 - 10.1201/9781003306924-6

DO - 10.1201/9781003306924-6

M3 - Book chapter

AN - SCOPUS:85174760423

SP - 120

EP - 180

BT - Data Driven Methods for Civil Structural Health Monitoring and Resilience

A2 - Noori, Mohammad

A2 - Rainieri, Carlo

A2 - Domaneschi, Marco

A2 - Sarhosis, Vasilis

PB - CRC Press/Balkema

ER -

Bull LA, Abdallah I, Mylonas C, Avendaño-Valencia LD, Tatsis K, Gardner P et al. Data-Centric Monitoring of Wind Farms: Combining Sources of Information. In Noori M, Rainieri C, Domaneschi M, Sarhosis V, editors, Data Driven Methods for Civil Structural Health Monitoring and Resilience: Latest Developments and Applications. CRC Press/Balkema. 2023. p. 120-180 doi: 10.1201/9781003306924-6

Data-Centric Monitoring of Wind Farms: Combining Sources of Information

Abstract

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