Evaluating Meteorological Effects on Wind Turbine Performance: Anomaly Analysis and Energy Loss Quantification

Gökhan Yüksek

doi:10.17798/bitlisfen.1841878

Evaluating Meteorological Effects on Wind Turbine Performance: Anomaly Analysis and Energy Loss Quantification

Abstract

This study investigates how ordinary atmospheric conditions induce systematic deviations from the nominal manufacturer's power curve of a modern wind turbine using a residual-based comparative power curve analysis. The approach directly compares theoretical power values with turbine-level SCADA measurements. It evaluates the difference between predicted and measured power as a continuous indicator of relative underperformance rather than as a classified anomaly. The dataset comprises wind speed, wind direction, air density, ambient temperature, cloud cover, solar irradiance, and measured electrical power from a Nordex N117/3600 wind turbine over a full annual period, complemented by temporally synchronized atmospheric data. Power residuals are analyzed as functions of wind speed and paired meteorological variables to reveal recurring deviation patterns and their physical context. The cumulative integration of positive residuals indicates an annual energy production loss of approximately 244,481 kWh, demonstrating that small but persistent power-curve departures accumulate into a substantial long-term deficit. The results show that performance deviations concentrate primarily in the partially loaded operating region and are strongly associated with variations in air density and wind regime. At the same time, temperature and radiative variables play a secondary role. The main contribution of this study is the presentation of a physically interpretable, residual-based performance deviation analysis that links power curve departures directly to atmospheric conditions and quantifies their cumulative energy impact without relying on predictive models or formal anomaly detection algorithms

Keywords

Supporting Institution

No specific funding or institutional support was received for this study.

Ethical Statement

This study does not involve human participants or animals. All analyses are based on operational wind turbine and meteorological data obtained from existing measurement systems. No ethical approval was required for this research.

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Details

Primary Language

English

Subjects

Wind Energy Systems, Renewable Energy Resources

Journal Section

Research Article

Authors

Gökhan Yüksek ^*
0000-0002-6832-8622
Türkiye

Publication Date

March 24, 2026

Submission Date

December 14, 2025

Acceptance Date

February 24, 2026

Published in Issue

Year 2026 Volume: 15 Number: 1

DOI

https://doi.org/10.17798/bitlisfen.1841878

IZ

https://izlik.org/JA77KE48RY

Cite

RIS / Bibtex

APA

Yüksek, G. (2026). Evaluating Meteorological Effects on Wind Turbine Performance: Anomaly Analysis and Energy Loss Quantification. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, 15(1), 492-505. https://doi.org/10.17798/bitlisfen.1841878

AMA

1.Yüksek G. Evaluating Meteorological Effects on Wind Turbine Performance: Anomaly Analysis and Energy Loss Quantification. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi. 2026;15(1):492-505. doi:10.17798/bitlisfen.1841878

Chicago

Yüksek, Gökhan. 2026. “Evaluating Meteorological Effects on Wind Turbine Performance: Anomaly Analysis and Energy Loss Quantification”. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 15 (1): 492-505. https://doi.org/10.17798/bitlisfen.1841878.

EndNote

Yüksek G (March 1, 2026) Evaluating Meteorological Effects on Wind Turbine Performance: Anomaly Analysis and Energy Loss Quantification. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 15 1 492–505.

IEEE

[1]G. Yüksek, “Evaluating Meteorological Effects on Wind Turbine Performance: Anomaly Analysis and Energy Loss Quantification”, Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, vol. 15, no. 1, pp. 492–505, Mar. 2026, doi: 10.17798/bitlisfen.1841878.

ISNAD

Yüksek, Gökhan. “Evaluating Meteorological Effects on Wind Turbine Performance: Anomaly Analysis and Energy Loss Quantification”. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 15/1 (March 1, 2026): 492-505. https://doi.org/10.17798/bitlisfen.1841878.

JAMA

1.Yüksek G. Evaluating Meteorological Effects on Wind Turbine Performance: Anomaly Analysis and Energy Loss Quantification. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi. 2026;15:492–505.

MLA

Yüksek, Gökhan. “Evaluating Meteorological Effects on Wind Turbine Performance: Anomaly Analysis and Energy Loss Quantification”. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, vol. 15, no. 1, Mar. 2026, pp. 492-05, doi:10.17798/bitlisfen.1841878.

Vancouver

1.Gökhan Yüksek. Evaluating Meteorological Effects on Wind Turbine Performance: Anomaly Analysis and Energy Loss Quantification. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi. 2026 Mar. 1;15(1):492-505. doi:10.17798/bitlisfen.1841878