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Dr Peter Matthews' Outputs (13)

Analysis of Two Onshore Wind Farms with a Dynamic Farm Controller (2015)
Presentation / Conference Contribution
Ahmad, T., Girard, N., Kazemtabrizi, B., & Matthews, P. (2015, November). Analysis of Two Onshore Wind Farms with a Dynamic Farm Controller. Presented at EWEA 2015, Paris, France

This work develops an assessment methodology for identifying potential areas where coordinated control can increase farm power output. A dynamic farm controller is presented that exploits the benefits of reducing power of the upstream turbines for in... Read More about Analysis of Two Onshore Wind Farms with a Dynamic Farm Controller.

Onshore Wind Farm Fast Wake Estimation Method: Critical Analysis of the Jensen Model (2015)
Presentation / Conference Contribution
Sidwell, N., Ahmad, T., & Matthews, P. (2015, November). Onshore Wind Farm Fast Wake Estimation Method: Critical Analysis of the Jensen Model. Presented at EWEA 2015, Paris, France

Wind energy is the most rapidly expanding source of renewable energy in the UK and has supplied 5% of the country’s electricity requirements since 2010. With finite space available for future development, investors and manufacturers are constantly lo... Read More about Onshore Wind Farm Fast Wake Estimation Method: Critical Analysis of the Jensen Model.

Evaluation of Synthetic Wind Speed Time Series for Reliability Analysis of Offshore Wind Farms (2015)
Presentation / Conference Contribution
Smith, C., Crabtree, C., & Matthews, P. (2015, November). Evaluation of Synthetic Wind Speed Time Series for Reliability Analysis of Offshore Wind Farms. Presented at EWEA 2015, Paris, France

A method for synthesising wind speed time series (WSTS) from limited data is required that can be used for reliability examination of wind farms and maintenance strategies for a range of wind speed scenarios. Key characteristics of the wind resource... Read More about Evaluation of Synthetic Wind Speed Time Series for Reliability Analysis of Offshore Wind Farms.

Dynamic Wind Farm Controller (2015)
Presentation / Conference Contribution
Ahmad, T., Matthews, P., Kazemtabrizi, B., & Smith, C. (2015, September). Dynamic Wind Farm Controller. Presented at 11th EAWE PhD Seminar on Wind Energy in Europe., Stuttgart, Germany

This work presents a dynamic wind farm controller for maximising power output of a wind farm. The controller uses a coordinated control approach where the output of the upstream turbines is varied to minimise wake effects on the downstream turbines.... Read More about Dynamic Wind Farm Controller.

Experimental Set-up for Applying Wind Turbine Operating Profiles to the Nacelle Power Converter (2015)
Presentation / Conference Contribution
Smith, C., Crabtree, C., & Matthews, P. (2015, September). Experimental Set-up for Applying Wind Turbine Operating Profiles to the Nacelle Power Converter. Presented at 11th EAWE PhD Seminar, Stuttgart, Germany

Studies have shown that the reliability of fully rated converters (FRC) in permanent magnet synchronous generator (PMSG) wind turbines is critical. This paper outlines an experimental rig that applies PMSG wind turbine specific operating profiles to... Read More about Experimental Set-up for Applying Wind Turbine Operating Profiles to the Nacelle Power Converter.

Automated on-line fault prognosis for wind turbine pitch systems using supervisory control and data acquisition (2015)
Journal Article
Chen, B., Matthews, P., & Tavner, P. (2015). Automated on-line fault prognosis for wind turbine pitch systems using supervisory control and data acquisition. IET Renewable Power Generation, 9(5), 503-513. https://doi.org/10.1049/iet-rpg.2014.0181

Current wind turbine (WT) studies focus on improving their reliability and reducing the cost of energy, particularly when WTs are operated offshore. A supervisory control and data acquisition (SCADA) system is a standard installation on larger WTs, m... Read More about Automated on-line fault prognosis for wind turbine pitch systems using supervisory control and data acquisition.

High Level Summary of Learning: Domestic Smart Meter Customers on Time of Use Tariffs (2015)
Report
Bulkeley, H., Matthews, P., Whitaker, G., Bell, S., Wardle, R., Lyon, S., & Powells, G. (2015). High Level Summary of Learning: Domestic Smart Meter Customers on Time of Use Tariffs. Northern Powergrid (Northeast) Limited, Northern Powergrid (Yorkshire) Plc, British Gas Trading Limited, University of Durham and EA Technology Ltd

This report presents the key messages from the final analysis of the time of use (ToU) tariff trial group in the Customer-Led Network Revolution monitoring trials. It presents outputs from a significant study of household electricity use and ToU tari... Read More about High Level Summary of Learning: Domestic Smart Meter Customers on Time of Use Tariffs.

High Level Summary of Learning: Heat Pump Customers (2015)
Report
Bell, S., Capova, K., Barteczko-Hibbert, C., Matthews, P., Wardle, R., Bulkeley, H., …Powells, G. (2015). High Level Summary of Learning: Heat Pump Customers. Northern Powergrid (Northeast) Limited, Northern Powergrid (Yorkshire) Plc, British Gas Trading Limited, University of Durham and EA Technology Ltd

This summary presents the key messages from the final analysis of the domestic heat pump group (test cell 3) in the Customer-Led Network Revolution monitoring trials. It presents outputs from the largest study of household electricity use in the UK a... Read More about High Level Summary of Learning: Heat Pump Customers.

High Level Summary of Learning: Electrical Vehicle Users (2015)
Report
Capova, K., Wardle, R., Bell, S., Lyon, S., Bulkeley, H., Matthews, P., & Powells, G. (2015). High Level Summary of Learning: Electrical Vehicle Users. Northern Powergrid (Northeast) Limited, Northern Powergrid (Yorkshire) Plc, British Gas Trading Limited, University of Durham and EA Technology Ltd

This report describes the CLNR trial which examined electric vehicles usage patterns and expected network loading in the event of large-scale take-up of electric vehicles. The trial involved domestic customers who owned an electric vehicle and had ac... Read More about High Level Summary of Learning: Electrical Vehicle Users.

High Level Summary of Learning: Domestic Smart Meter Customers (2015)
Report
Bulkeley, H., Whitaker, G., Matthews, P., Bell, S., Lyon, S., & Powells, G. (2015). High Level Summary of Learning: Domestic Smart Meter Customers. Northern Powergrid (Northeast) Limited, Northern Powergrid (Yorkshire) Plc, British Gas Trading Limited, EA Technology Limited and the University of Durham

This summary presents the key messages from the final analysis of the baseline domestic profile control group in the Customer-Led Network Revolution (CLNR) monitoring trials. It presents outputs from the largest study of household electricity use in... Read More about High Level Summary of Learning: Domestic Smart Meter Customers.

High Level Summary of Learning: Domestic Solar PV Customers (2015)
Report
Bulkeley, H., Whitaker, G., Matthews, P., Bell, S., Lyon, S., & Powells, G. (2015). High Level Summary of Learning: Domestic Solar PV Customers. Northern Powergrid (Northeast) Limited, Northern Powergrid (Yorkshire) Plc, British Gas Trading Limited, EA Technology Limited and the University of Durham

This report examines the nature and practice of energy use by domestic customers in the CLNR project who generated their own solar photovoltaic (PV) electricity. It brings together power monitoring data capable of providing insight into how electrici... Read More about High Level Summary of Learning: Domestic Solar PV Customers.