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Teaching and research with MIKE by DHI - Dr Björn Elsäßer (Queen’s University Belfast)

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Teaching and research with MIKE by DHI - Dr Björn Elsäßer (Queen’s University Belfast).

Presented at the 2014 MIKE by DHI UK Symposium on 13th to 14th May 2014.

Published in: Engineering, Technology, Business
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Teaching and research with MIKE by DHI - Dr Björn Elsäßer (Queen’s University Belfast)

  1. 1. Teaching & Research with MIKE by DHI @ Queen’s University Belfast Dr Björn Elsäßer Dipl. Ing. CEng 13th May 2014
  2. 2. School of Planning, Architecture and Civil Engineering • Established 1845 as Queen’s College, • More than 17,000 students and 3,500 staff, • Part of Russell Group of Universities, • SPACE has 60 staff and 160 students starting each year About Queen’s University Belfast
  3. 3. School of Planning, Architecture and Civil Engineering Marine Renewable Energy @ QUB - Wave Energy
  4. 4. School of Planning, Architecture and Civil Engineering Marine Renewable Energy @ QUB - Tidal Energy
  5. 5. School of Planning, Architecture and Civil Engineering MIKE in class Coastal Engineering & Tidal Energy module • Demonstration of shoaling, refraction and diffraction using Mike 21 BW • Building of a complete tidal model of the Severn Estuary
  6. 6. School of Planning, Architecture and Civil Engineering • Easy analysis of data without knowledge of any programming language MIKE in class Tidal Analysis & Prediction Toolbox • Knowledge & understanding of student can be tested !
  7. 7. School of Planning, Architecture and Civil Engineering MIKE in class Wave hindcast model as 3rd year project
  8. 8. School of Planning, Architecture and Civil Engineering • Importance of southern Atlantic wave climate on NA • Good performance of SW model relative to assimilated data From student project to PhD project The North Atlantic Wave model
  9. 9. School of Planning, Architecture and Civil Engineering Sewage outfall impacts in Belfast Lough Belfast Lough historically eutrophic £43 m investment in 2006 to improve water treatment New wastewater treatment works completed in 2008 Minimal tertiary treatment prior to discharge Designed discharge capacity of 900 l/s Daniel Pritchard Hydrodynamic models as ecological tools Belfast Portaferry Treatment Works Outfall
  10. 10. School of Planning, Architecture and Civil Engineering The ‘Briggs Rock Seaweed Culture Project’ Daniel Pritchard Hydrodynamic models as ecological tools ≈ 30 % of N ≈ 1.5 % of P Possible… but not experimentally tractable!
  11. 11. School of Planning, Architecture and Civil Engineering Outfall Impacts: Approach Water samples from the treatment plant In situ water samples Seaweed bulk stable isotope samples Hydrodynamic model development and validation Simplified plume and processed-based macroalgal models (Eulerian transport) Daniel Pritchard Hydrodynamic models as ecological tools
  12. 12. School of Planning, Architecture and Civil Engineering Outfall impacts: Results Initial dilution is very high High spatial variability The model predicts the magnitude of the nutrient input the right order of magnitude… … but under predicts on Spring Tides Daniel Pritchard Hydrodynamic models as ecological tools Pritchard et al. In review. Marine Pollution Bulletin
  13. 13. School of Planning, Architecture and Civil Engineering Outfall impacts: Results Stable isotopes Significant, but small differences between sites Daniel Pritchard Hydrodynamic models as ecological tools
  14. 14. School of Planning, Architecture and Civil EngineeringLouise O’Boyle Wave Energy Converter • Designed to extract energy from waves • Also interact with local wave climate Wave Energy Converter Arrays • Multiple devices deployed in close proximity • One WEC may positively or negatively influence energy available for other WEC’s • Increased scale - increases potential for changes to coastal processes, sediment transport and ecology. Changes to Wave Field • Quantifying changes in wave field numerically facilitates environmental impact assessments and design of optimum wave farm layout • Experimental results required for numerical model validation Wave Fields around Wave Energy Converter Arrays. Wave Fields around Wave Energy Converter Arrays
  15. 15. School of Planning, Architecture and Civil EngineeringLouise O’Boyle Wave Fields around Wave Energy Converter Arrays. Potential interaction of a WEC on the surrounding wave field. Wave Scattering Reflection Diffraction Wave Radiation In order for a device to extract energy it destructively interfere with incident waves: wave radiation How will Wave Farm Interact?
  16. 16. School of Planning, Architecture and Civil EngineeringLouise O’Boyle 8/ 21 Experimental Approach • Experimentally map the wave climate around WEC array • Use different model types for each interaction effect • Each tested individually and in 4 array layouts • Results used for numerical model validation Wave Fields around Wave Energy Converter Arrays.
  17. 17. School of Planning, Architecture and Civil EngineeringLouise O’Boyle 10/ 21 Results – Wave Disturbance (mm) Terminator Array Configuration Attenuator Array Configuration Wavelength = device spacingWavelength > device spacing Wavelength < device spacing Wave Fields around Wave Energy Converter Arrays. Sample Results
  18. 18. School of Planning, Architecture and Civil EngineeringLouise O’Boyle 13/ 21 MIKE 21 Boussinesq Waves • Phase resolving – depth averaged MIKE 21 Spectral Waves • Phase Averaged Model Area – Portaferry Wave Basin • Experiments carried out at Portaferry Wave Basin • Maximum correlation with experimental data required • WEC arrays simulated in models of wave basin • Numerical models validated at wave basin scale • Subsequently extended to full scale Surfaceelevation(mm) Time (s) Frequency (Hz) SpectralDendity Wave Fields around Wave Energy Converter Arrays. Numerical Representation of WECs
  19. 19. School of Planning, Architecture and Civil EngineeringLouise O’Boyle WEC representation in MIKE 21 SW Model • WEC represented using ‘Structures’ tool in SW model • Definition of frequency and directionally dependent • Reflection coefficient - Kr • Transmission coefficient - Kt • Absorption coefficient – Ka = √(1 – Kr 2 – Kt 2) • Energy balence is altered accordingly at each cell containing a structure. Fully Reflective Absorbing Obstacle Oscillating Water Column Kr = 1 Kt = 0 Ka = 0 e.g. Kr = 0 Kt = 0.8 Ka = 0.2 (related to absorption) Kr = reflected + (Krad /√2) Kt = transmitted + (Krad /√2) Ka = Krad (related to power capture) Acting over what diameter? Frequency & directionally dependant Wave Fields around Wave Energy Converter Arrays.
  20. 20. School of Planning, Architecture and Civil Engineering WEC presentation in MIKE 21 BW Model • WEC represented by assigning porosity values to each cell within the footprint of the device. • Fully reflective obstacles – porosity = 0, equivalent to ‘land value’ • Absorbing obstacles - porosity = 0.4 or variable porosity - characteristic unit diameter = 0.01 (laminar) • Real WEC represented using internal generation lines to simulate the radiated wave Louise O’Boyle Wave Fields around Wave Energy Converter Arrays.
  21. 21. School of Planning, Architecture and Civil EngineeringLouise O’Boyle • BW model results based on surface elevation (Boussinesq eqn.) • SW model results based on wave energy (Action Balance eqn.) • Therefore it is proposed that a better parameter for cross validation of models is change in energy content Comparison of results for single OWC at damping level 3 Wave Fields around Wave Energy Converter Arrays. Comparison of Results
  22. 22. School of Planning, Architecture and Civil EngineeringLouise O’Boyle Comparison of Array Configuration and Damping Level • SW model has been validated and can be used to investigate effects of array layout and damping levels on the wave field Wave Fields around Wave Energy Converter Arrays.
  23. 23. School of Planning, Architecture and Civil Engineering Horse-mussel larvae in Strangford Lough Strangford Lough heavily dredged for queen scallops in the late 1970’s and early 1980’s Massive decline in Modiolus modiolus biogenic reefs Daniel Pritchard Hydrodynamic models as ecological tools Cultch site Strangford Lough Strangford Narrows 52 days of simulation True Lagrangian transport Full hydrodynamic background Continuous release, 6 sites, 200 particles per timestep
  24. 24. School of Planning, Architecture and Civil Engineering Horse-mussel larvae: Results Daniel Pritchard Hydrodynamic models as ecological tools Elsäßer et al. 2013. Identifying optimal sites for natural recovery and restoration of impacted biogenic habitats in a special area of conservation using hydrodynamic and habitat suitability modelling. Journal of Sea Research, 77: 11--21.
  25. 25. School of Planning, Architecture and Civil Engineering What is to come: • LINC -
  26. 26. School of Planning, Architecture and Civil Engineering Conclusions • Easy user interface allows engineering students to get into hydraulic modelling quickly • Excellent research tool – mean to an end! • Enables colaborative work, where focus is on the science not on the process • Improvements to code or additions can be implemented
  27. 27. School of Planning, Architecture and Civil Engineering For more details see: • http://www.qub.ac.uk/research-centres/eerc/ • http://tiny.cc/BjoernElsaesser • https://github.com/dpritchard • http://dx.doi.org/10.1016/j.seares.2012.12.006 • http://dx.doi.org/10.1016/j.marpolbul.2013.09.046 • http://dx.doi.org/10.1007/978-94-017-8002-5_12

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