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HOME PROJECTS RESOURCES ABOUT NEWS SEEDS CONFERENCE POSTGRADUATE
Dr Will Barker
BEng (Hons), PhD, CEng (IET), MIET
Senior Lecturer
William.Barker@leedsbeckett.ac.uk


Dr Will Barker

Will Barker joined Leeds Beckett University in 2015 following an eight year career in industry working for leading consultancies in the renewable energy sector. He currently works as a senior lecturer in the faculty of Arts, Environment and Technology where he is involved in research and the development of undergraduate teaching in engineering.

In 2007 Will joined Natural Power Consultants Ltd. having completed a PhD in remote sensing at Leeds Metropolitan University. While working as a Wind Engineer he gained international expertise in wind farm design and resource assessment; the application of advanced technology for resource assessment, including remote sensing (ZephIR Lidar) and CFD (Ventos); and ran a global network of anemometer masts and lidar equipment.

In January 2010 he began working with ZephIR Lidar to facilitate the transfer of expertise in wind engineering and lidar between ZephIR and Natural Power including the specification, installation and operation of ZephIR Lidar’s tall mast test site.

Between 2010 and 2014 Will worked with ZephIR Lidar conducting research and development with respect to lidar technology and its application in the wind industry leading to a number of publications at leading wind energy conferences.

In 2014 Will joined SgurrEnergy as a Research Scientist working with the Galion scanning wind lidar. In this role he was responsible for the development of commercial applications of scanning lidar, the development of research programmes and funding applications.

Will has been an expert adviser on the IEC TC88 committee for the revision of IEC61400-12-1 for the power performance assessment of commercial wind turbines since 2010 and is also a contributor to the International Energy Agency expert group study on recommended practices for the application of lidar in wind energy projects.

Publications

Barker, W. et al. (2014), “Correlation Effects In The Field Classification Of Ground Based Remote Wind Sensors”, European Wind Energy Association Conference and Exhibition 2014.

Barker, W. et al. (2014), “Finance Grade Wind Measurements With Lidar”, European Wind Energy Association Conference and Exhibition 2014.

Barker, W. et al. (2014), “Lidar Turbulence Measurements For Wind Turbine Selection Studies : Design Turbulence”, European Wind Energy Association Conference and Exhibition 2014.

Gottschall J. and Barker W. et al. (2014), “Classification of Remote Sensing (and in particular lidar) Devices in Moderately Complex Terrain”, European Wind Energy Association Conference and Exhibition 2014.

Medley, J. and Barker W. et al. (2014), “Evaluation of Wind Flow with a Nacelle-Mounted Continuous Wave Lidar”, European Wind Energy Association Conference and Exhibition 2014.

Barker, W. et al. (2013), “Lidar Turbulence Measurements for Wind Farm Energy Yield Analysis”, Natural Power/ZephIR Ltd., European Wind Energy Association Conference and Exhibition 2013.

Rutherford, A. and Barker W. et al. (2012), “Lidar calibration and performance validation process”, American Wind Energy Association Conference and Exhibition 2012.

Pitter, M. and Barker W. et al. (2012), “Lidar and computational fluid dynamics for resource assessment in complex terrain”, European Wind Energy Association Conference and Exhibition 2012.

Barker, W. et al. (2012), “Can Lidars Measure Turbulence? Comparison Between ZephIR 300 and an IEC Compliant Anemometer Mast”, Barker W. et.al. Natural Power/ZephIR Ltd., EWEA 2012.

Barker, W. and Conway, P. (2008), “The Theremin Virtual Musical Instrument”, New Instruments in Musical Expression (NIME) 2008. Submission accepted but unable to attend.

Barker, W. et al. (2007), “Fault Tolerance using Dynamic Reconfiguration on the POEtic Tissue”, IEEE Transactions on Evolutionary Computation, 11(5):666-684, 1089-778X, October 2007.

Barker, W. and Conway, P. (2007), "Convergent simplex searches and the 'gloveless DataGlove'." Inverse problems 23.1 (2007): 405, Institute of Physics.

Tyrrell, A.M. and Barker W. (2006), “The POEtic Hardware Device: Assistance for Evolution”, , Development and Learning -Evolvable Hardware In: Evolvable Hardware. Genetic and Evolutionary Computation, Edited by Higuchi, Liu & Yao . Springer-verlag , pp. 99-120. , Springer Verlag, 0-387-24386-0, 2006

Barker, W. and Tyrrell A.M. (2005), "Hardware Fault-Tolerance Within the POEtic System", Proc. 6th International Conference on Evolvable Systems, Sitges, Spain, Lecture Notes in Computer Science, Springer 2005.

Barker, W. and Conway, P. (2003), “Motion tracking of the Human Hand Using Electric Field Measurements via Evolutionary Search”, Poster presentation at the 'SET for Britain' event for young researcher at the Houses of Parliament. 2003.

Areas of Academic Interest

Renewable Energy:
Wind farm design, construction, operation and financing.

Remote Sensing:
Lidar and SODAR measurements in the atmospheric boundary layer. Satellite-borne environmental monitoring. Signal processing for remote sensing applications.

Atmospheric Science:
Modelling turbulence in the atmospheric boundary layer.
Computational fluid dynamics for boundary layer flows.

Biologically Inspired Systems:
Genetic algorithms, evolutionary algorithms and neural networks in general and with application to global optimization problems and evolvable systems. Cellular electronic architectures and fault tolerance.

Inverse Problems:
Data inversion in tomographic systems. Bayesian methods for inversion and data fusing. Non-linear numerical optimization.

Electromagnetics:
Mathematical modelling of field interactions and the solution of electromagnetic problems. Application of electromagnetic sensing in imaging systems.

Technical Skills

Mathematics:
• Vector and tensor calculus.
• Bayesian statistics.
• Linear and non-linear numerical optimization.
• Similarity theory.
• Signal processing.
• Computational Fluid Dynamics.

Computing:
• MATLAB : Extensive experience of using MATLAB for simulation and data analysis at script and function level as well as Simulink for system level simulation. Integration of C and C++ modules in MATLAB framework.
• C/C++ programming in Visual Studio.
• Digital Signal Processing.
• WAsP : Certified use of wind flow modelling software.
• WindFarmer/openWind : Wind farm design layout, visualisations and energy yield calculations.
• Database systems :Schema design and implementation for time series databases in MySQL and SQL Server/Microsoft .net + SOAP architecture systems.

Electronics:
• Analogue, digital & mixed-signal design, simulation, prototyping and testing especially using microcontrollers and programmable logic.
• OrCad family design flow : Capture, PSpice & Layout.
• Microchip : CCS PIC C, MPLAB.
• Modelsim : VHDL design, simulation & analysis of integrated devices at register and gate level especially with respect to FPGA design.
• FPGA : Mapping of designs into hardware within the Xilinx Virtex family of FPGA's.
• Use of electronic test & fabrication equipment.