Skip to main content

Research Repository

Advanced Search

All Outputs (62)

Dual polarity multi-level boost DC-DC converter (2024)
Presentation / Conference Contribution
Blackhorse-Hull, D., Mohanan-Leela, P., Alsafrani, A., Sarma, N., Crabtree, C., & Horsfall, A. (2024, June). Dual polarity multi-level boost DC-DC converter. Paper presented at 13th International Conference on Power Electronics, Machines and Drives (PEMD 2024), Nottingham, UK

Data-Driven Infrastructure Planning for Offshore Wind Farms (2024)
Presentation / Conference Contribution
Saxena, I., Kazemtabrizi, B., Troffaes, M. C., & Crabtree J., C. (2024, May). Data-Driven Infrastructure Planning for Offshore Wind Farms. Presented at Torque 2024, Florence, Italy

Offshore wind farms are one of the major renewable energy resources that can help the UK to reach its net zero target. Under the 10 point plan of the green revolution, the UK is set to quadruple its wind energy production by increasing its offshore w... Read More about Data-Driven Infrastructure Planning for Offshore Wind Farms.

Understanding wind turbine power converter reliability under realistic wind conditions (2024)
Journal Article
Alsaadi, S., Crabtree, C. J., Matthews, P. C., & Shahbazi, M. (2024). Understanding wind turbine power converter reliability under realistic wind conditions. IET Power Electronics, 17(4), 524-533. https://doi.org/10.1049/pel2.12670

The reliability of wind turbine power converters is crucial for analyzing wind energy project costs, and for estimating maintenance and downtime. The published literature in this field relies on evaluating the reliability effect of wind speed to esti... Read More about Understanding wind turbine power converter reliability under realistic wind conditions.

Convolutional neural network framework for wind turbine electromechanical fault detection (2023)
Journal Article
Stone, E., Giani, S., Zappalá, D., & Crabtree, C. (2023). Convolutional neural network framework for wind turbine electromechanical fault detection. Wind Energy, 26(10), 1082 - 1097. https://doi.org/10.1002/we.2857

Effective and timely health monitoring of wind turbine gearboxes and generators is essential to reduce the costs of operations and maintenance activities, especially offshore. This paper presents a scalable and lightweight Convolutional Neural Networ... Read More about Convolutional neural network framework for wind turbine electromechanical fault detection.

Performance comparison of Probabilistic and Artificial Neural Network Models for Long-sequence Generation of Wind Speed Forecasts (2022)
Presentation / Conference Contribution
Pina-Gongora, D. C., Kazemtabrizi, B., & Crabtree, C. (2022). Performance comparison of Probabilistic and Artificial Neural Network Models for Long-sequence Generation of Wind Speed Forecasts. . https://doi.org/10.1049/icp.2022.2777

This paper presents a new method for generating long-sequence wind speed time-series forecasts for purposes of offshore wind farm asset and operations planning. Our goal is to develop a planning decision support tool with which wind farm planners and... Read More about Performance comparison of Probabilistic and Artificial Neural Network Models for Long-sequence Generation of Wind Speed Forecasts.

Integrated condition-based maintenance modelling and optimisation for offshore wind farms (2021)
Journal Article
Dao, C. D., Kazemtabrizi, B., Crabtree, C. J., & Tavner, P. J. (2021). Integrated condition-based maintenance modelling and optimisation for offshore wind farms. Wind Energy, 24(11), 1180-1198. https://doi.org/10.1002/we.2625

Maintenance is essential in keeping wind energy assets operating efficiently. With the development of advanced condition monitoring, diagnostics and prognostics, condition‐based maintenance has attracted much attention in the offshore wind industry i... Read More about Integrated condition-based maintenance modelling and optimisation for offshore wind farms.

Condition Monitoring of Rotating Electrical Machines (2020)
Book
Tavner, P. J., Ran, L., & Crabtree, C. J. (2020). Condition Monitoring of Rotating Electrical Machines. (3rd ed.). Institution of Engineering and Technology (IET)

Condition monitoring of engineering plants has increased in importance as engineering processes have become increasingly automated. However, electrical machinery usually receives attention only at infrequent intervals when the plant or the electricit... Read More about Condition Monitoring of Rotating Electrical Machines.

Offshore Wind Turbine Reliability and Operational Simulation under Uncertainties (2020)
Journal Article
Dao, C. D., Kazemtabrizi, B., & Crabtree, C. J. (2020). Offshore Wind Turbine Reliability and Operational Simulation under Uncertainties. Wind Energy, 23(10), 1919-1938. https://doi.org/10.1002/we.2526

The fast‐growing offshore wind energy sector brings opportunities to provide a sustainable energy resource but also challenges in offshore wind turbine (OWT) operation and maintenance management. Existing operational simulation models assume determin... Read More about Offshore Wind Turbine Reliability and Operational Simulation under Uncertainties.

Simplified Automatic Fault Detection in Wind Turbine Induction Generators (2020)
Journal Article
Brigham, K., Zappalá, D., Crabtree, C., & Donaghy-Spargo, C. (2020). Simplified Automatic Fault Detection in Wind Turbine Induction Generators. Wind Energy, 23(4), 1135-1144. https://doi.org/10.1002/we.2478

This paper presents a simplified automated fault detection scheme for wind turbine induction generators with rotor electrical asymmetries. Fault indicators developed in previous works have made use of the presence of significant spectral peaks in the... Read More about Simplified Automatic Fault Detection in Wind Turbine Induction Generators.

Optimisation of Large Offshore Wind Farm Layout Considering Reliability and Wake Effect (2020)
Presentation / Conference Contribution
Li, X., Dao, C. D., Kazemtabrizi, B., & Crabtree, C. J. (2020). Optimisation of Large Offshore Wind Farm Layout Considering Reliability and Wake Effect. . https://doi.org/10.1115/gt2020-15495

Nowadays, the increasing demand of electricity and environmental hazards of the greenhouse gas lead to the requirement of renewable energies. The wind energy has been proved as one of the most successful sustainable energies. Recently, the developmen... Read More about Optimisation of Large Offshore Wind Farm Layout Considering Reliability and Wake Effect.

Impacts of Reliability on Operational Performance and Cost of Energy Evaluation of Multimegawatt, Far-offshore Wind Turbines (2019)
Presentation / Conference Contribution
Dao, C. D., Kazemtabrizi, B., & Crabtree, C. J. (2019). Impacts of Reliability on Operational Performance and Cost of Energy Evaluation of Multimegawatt, Far-offshore Wind Turbines. In Conference Proceedings: ASME 38th International Conference on Ocean, Offshore & Arctic Engineering (OMAE2019-95561, V003T02A072). https://doi.org/10.1115/omae2019-95561

Wind energy is growing at a fast pace around the world. According to a report published by WindEurope, 55% of total power capacity installations in the EU came from wind in 2017. In this context, offshore wind plays a decisive role, with countries su... Read More about Impacts of Reliability on Operational Performance and Cost of Energy Evaluation of Multimegawatt, Far-offshore Wind Turbines.

Validation of a non-contact technique for torque measurements in wind turbines using an enhanced transient FSV approach (2019)
Journal Article
Zhang, G., Zappalá, D., Crabtree, C., Donaghy-Spargo, C., Hogg, S., & Duffy, A. (2020). Validation of a non-contact technique for torque measurements in wind turbines using an enhanced transient FSV approach. Measurement, 151, Article 107261. https://doi.org/10.1016/j.measurement.2019.107261

In-service turbine monitoring is essential for maximizing the wind energy contribution to the global energy budget. Measurement of turbine shaft torque under transient wind conditions is fundamental to develop reliable condition monitoring techniques... Read More about Validation of a non-contact technique for torque measurements in wind turbines using an enhanced transient FSV approach.

Modelling the Effects of Reliability and Maintenance on Levelised Cost of Wind Energy (2019)
Presentation / Conference Contribution
Dao, C. D., Kazemtabrizi, B., & Crabtree, C. J. (2019). Modelling the Effects of Reliability and Maintenance on Levelised Cost of Wind Energy. . https://doi.org/10.1115/gt2019-90015

Levelised cost of energy is an important measure to evaluate the success of a wind energy project. It includes all the capital and operational expenditures of a wind turbine over its lifetime based on the expected power generated. In the literature,... Read More about Modelling the Effects of Reliability and Maintenance on Levelised Cost of Wind Energy.

Wind Turbine Reliability Data Review and Impacts on Levelised Cost of Energy (2019)
Journal Article
Dao, C. D., Kazemtabrizi, B., & Crabtree, C. J. (2019). Wind Turbine Reliability Data Review and Impacts on Levelised Cost of Energy. Wind Energy, 22(12), 1848-1871. https://doi.org/10.1002/we.2404

Reliability is critical to the design, operation, maintenance, and performance assessment and improvement of wind turbines (WTs). This paper systematically reviews publicly available reliability data for both onshore and offshore WTs and investigates... Read More about Wind Turbine Reliability Data Review and Impacts on Levelised Cost of Energy.

Star Type Wireless Sensor Network for Future Distributed Structural Health Monitoring Applications (2019)
Journal Article
Meech, J., Crabtree, C., & Rácz, Z. (2019). Star Type Wireless Sensor Network for Future Distributed Structural Health Monitoring Applications. Inventions, 4(1), Article 6. https://doi.org/10.3390/inventions4010006

A star type wireless sensor network based on nine-axis micro-electromechanical inertial motion sensors with the potential to include up to 254 sensor nodes is presented, and an investigation into the mechanical and structural effects of bell ringing... Read More about Star Type Wireless Sensor Network for Future Distributed Structural Health Monitoring Applications.

Power Converter Junction Temperature Measurement using Infra-red Sensors (2019)
Journal Article
Smith, C., Zappalá, D., Crabtree, C., Lapiedra, J., & Mulholland, B. (2019). Power Converter Junction Temperature Measurement using Infra-red Sensors. Journal of Engineering, 2019(17), 4452-4456. https://doi.org/10.1049/joe.2018.8098

Studies demonstrate that the power converter has one of the highest failure rates in a wind turbine, with a key failure driver being the power module junction temperature ( T j ). This paper details an experimental setup for simplified emulation of w... Read More about Power Converter Junction Temperature Measurement using Infra-red Sensors.

Reliability and Economic Evaluation of High Voltage Direct Current interconnectors for large-scale renewable energy integration and transmission (2019)
Presentation / Conference Contribution
Thompson, A., Kazemtabrizi, B., Crabtree, C., Dao, C., Dinmohamdi, F., & Flynn, D. (2019). Reliability and Economic Evaluation of High Voltage Direct Current interconnectors for large-scale renewable energy integration and transmission. In 15th IET International Conference on AC and DC Power Transmission (ACDC 2019). https://doi.org/10.1049/cp.2019.0010

This paper outlines a methodology for assessing the reliability and cost of operating multi-terminal High-Voltage Direct Current (HVDC) transmission interconnectors with a comparison being drawn on the benefits of using modular multilevel converters... Read More about Reliability and Economic Evaluation of High Voltage Direct Current interconnectors for large-scale renewable energy integration and transmission.

Directory of UK Based Test and Demonstration Facilities for Wind Technologies (2018)
Report
Zappalá, D., Crabtree, C., & Hogg, S. (2018). Directory of UK Based Test and Demonstration Facilities for Wind Technologies. [No known commissioning body]

The UK’s extensive wind resource and rich history in the energy industry have made the UK internationally leading in both academic understanding and technology development capability in the wind energy sector. The sector is continuously and dynamical... Read More about Directory of UK Based Test and Demonstration Facilities for Wind Technologies.

Electrical & Mechanical Diagnostic Indicators of Wind Turbine Induction Generator Rotor Faults (2018)
Journal Article
Zappalá, D., Sarma, N., Djurović, S., Crabtree, C., Mohammad, A., & Tavner, P. (2019). Electrical & Mechanical Diagnostic Indicators of Wind Turbine Induction Generator Rotor Faults. Renewable Energy, 131, 14-24. https://doi.org/10.1016/j.renene.2018.06.098

In MW-sized wind turbines, the most widely-used generator is the wound rotor induction machine, with a partially-rated voltage source converter connected to the rotor. This generator is a significant cause of wind turbine fault modes. In this paper,... Read More about Electrical & Mechanical Diagnostic Indicators of Wind Turbine Induction Generator Rotor Faults.