Skip to main content
SpringerLink
Log in

Engineering Study of Tidal Stream Renewable Energy Generation and Visualization: Issues of Process Modelling and Implementation

  • Conference paper
  • First Online:
Advanced Visual Interfaces. Supporting Big Data Applications (AVI-BDA 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10084))

Included in the following conference series:

Abstract

Tidal stream energy has the potential to make a significant contribution to energy mix in the future. Accurate modelling and visualisation of both tidal resource and array layout enhances understanding of in-stream tidal behaviour leading to improvements in site identification and optimal positioning of individual turbines. A realistic representation of blade loading conditions will aid designers and manufacturers in creating more robust devices and improve survivability. The main barriers to large scale deployments of tidal arrays are the costs associated with manufacturing, installation and maintenance. Therefore, presently tidal energy is not competitive on cost with more established renewable technologies. The current position paper investigates and reports on resource modelling, site selection, selecting optimal array configurations and the design and manufacture of devices for tidal stream renewable energy generation. This is aimed at developing models to reliably simulate real conditions, enhance understanding of tidal processes, flow regimes and device survivability issues.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

References

  1. Sgobbi, A., Simoes, S., Magagna, D., Nijs, W.: Assessing the impacts of technology improvements on the deployment of marine energy in Europe with an energy system perspective. Renew. Energy 89, 515–525 (2016)

    Article  Google Scholar 

  2. Waters, S., Aggidis, G.: Tidal range technologies and state of the art in review. Renew. Sustain. Energy Rev. 59, 514–529 (2016)

    Article  Google Scholar 

  3. O’Rourke, F., Boyle, F., Reynolds, A.: Tidal energy update 2009. Appl. Energy 87, 398–409 (2010)

    Article  Google Scholar 

  4. Cengel, Y., Turner, R., Cimbala, J.: Fundamentals of Thermal-Fluid Sciences Third Edition in SI Units, 3rd edn. McGraw Hill, Singapore (2008)

    Google Scholar 

  5. Uihlein, A., Magagna, D.: Wave and tidal current energy – a review of the current state of research beyond technology. Renew. Sustain. Energy Rev. 58, 1070–1081 (2016)

    Article  Google Scholar 

  6. BERR (Department for Business, Enterprise & Regulatory Reform). Atlas of UK Marine Renewable Energy Resources. London: APBmer, The Met Office, Proudman Oceanographic Laboratory (2008)

    Google Scholar 

  7. Funke, S., Farrell, P., Piggott, M.: Tidal turbine array optimisation using the adjoint approach. Renew. Energy 63, 658–673 (2014)

    Article  Google Scholar 

  8. Lewis, M., Neill, S., Robins, P., Hashemi, M.: Resource assessment for future generations of tidal-stream energy arrays. Energy 83, 403–415 (2015)

    Article  Google Scholar 

  9. Robins, P., Neill, S., Lewis, M., Ward, S.: Characterising the spatial and temporal variability of the tidal-stream energy resource over the northwest European shelf seas. Appl. Energy 147, 510–522 (2015)

    Article  Google Scholar 

  10. Lalander, E., Thomassen, P., Leijon, M.: Evaluation of a model for predicting the tidal velocity in fjord entrances. Energies 6, 2031–2051 (2013)

    Article  Google Scholar 

  11. Vennell, R.: Estimating the power potential of tidal currents and the impact of power extraction on flow speeds. Renew. Energy 36, 3558–3565 (2011)

    Article  Google Scholar 

  12. visitmyharbour.com. Tidal Charts for Spring and Neap tides (2015). http://www.visitmyharbour.com/tides/. Accessed 1 Jul 2016

  13. Hardisty, J.: The Analysis of Tidal Stream Power. Wiley, Chichester (2009)

    Book  Google Scholar 

  14. Nasa.gov, NASA Jet Propulsion Laboratory - Shuttle Radar Topography Mission SRTM. http://srtm.usgs.gov/index.php

  15. Kolliatsas, C., Dudziak, G., Schaefer, J., Myers, N.: Offshore Renewable Energy: Accelerating the Deployment of Offshore Wind, Tidal and Wave Technologies. Earthscan, New York (2012)

    Google Scholar 

  16. Milne, I., Day, A., Sharma, R., Flay, R.: Blade loading on tidal turbines for uniform unsteady flow. Renew. Energy 77, 338–350 (2015)

    Article  Google Scholar 

  17. Neill, S., Hashemi, M., Lewis, M.: Tidal energy leasing and tidal phasing. Renew. Energy 85, 580–597 (2016)

    Article  Google Scholar 

  18. Doman, D., Murray, R., Pegg, M., Gracie, K., Johnstone, C., Nevalainen, T.: Tow-tank testing of a 1/20th scale horizontal axis tidal turbine with uncertainty analysis. Int. J. Mar. Energy 11, 105–119 (2015)

    Article  Google Scholar 

  19. Jeffcoate, P., Starzmann, R., Elsaesser, B., Scholl, S., Bischoff, S.: Field measurements of a full scale tidal turbine. Int. J. Mar. Energy 12, 3–20 (2015)

    Article  Google Scholar 

  20. Magagna, D., Uihlein, A.: Ocean energy development in Europe: current status and future perspectives. Int. J. Mar. Energy 11, 84–104 (2015)

    Article  Google Scholar 

  21. Frost, C., Morris, C., Mason-Jones, A., O’Doherty, D., O’Doherty, T.: The effect of tidal flow directionality on tidal turbine performance characteristics. Renew. Energy 78, 609–620 (2015)

    Article  Google Scholar 

  22. Morris, C., O’Doherty, D., O’Doherty, T., Mason-Jones, A.: Kinetic energy extraction of a tidal stream turbine and its sensitivity to structural stiffness attenuation. Renew. Energy 88, 30–39 (2016)

    Article  Google Scholar 

  23. European Marine Energy Centre: Assessment of Tidal Energy Resource – Marine Renewable Energy Guides. The Charlesworth Group, London (2009)

    Google Scholar 

  24. Fairley, I., Masters, I., Karunarathna, H.: The cumulative impact of tidal stream turbine arrays on sediment transport in the Pentland Firth. Renew. Energy 80, 755–769 (2015)

    Article  Google Scholar 

  25. Bornschlegl, M.X., Berwind, K., Kaufmann, M., Engel, F.C., Walsh, P., Hemmje, M.L., Riestra, R., Werkmann, B.: IVIS4BigData: A Reference Model for Advanced Visual Interfaces Supporting Big Data Analysis in Virtual Research Environments (2016). https://www.researchgate.net/publication/306038480_Towards_a_Reference_Model_for_Advanced_Visual_Interfaces_Supporting_Big_Data_Analysis and http://www.lgmmia.fernuni-hagen.de/bib/docs/Bor_16b.html.en. Accessed 6 Sep 2016

Download references

Author information

Authors and Affiliations

  1. School of Engineering, Ulster University, Belfast, Northern Ireland, UK

    John Harrison

  2. Faculty of Computing and Engineering, Computer Science Research Institute (CSRI), Ulster University, Belfast, Northern Ireland, UK

    James Uhomobhi

Authors
  1. John Harrison
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. James Uhomobhi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to James Uhomobhi .

Editor information

Editors and Affiliations

  1. Faculty of Mathematics and Computer Science, University of Hagen, Hagen, Germany

    Marco X. Bornschlegl

  2. Faculty of Mathematics and Computer Science, University of Hagen, Hagen, Germany

    Felix C. Engel

  3. School of Computing and Mathematics, University of Ulster, Newtownabbey, Antrim, UK

    Raymond Bond

  4. Faculty of Mathematics and Computer Science, University of Hagen, Hagen, Germany

    Matthias L. Hemmje

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing AG

About this paper

Cite this paper

Harrison, J., Uhomobhi, J. (2016). Engineering Study of Tidal Stream Renewable Energy Generation and Visualization: Issues of Process Modelling and Implementation. In: Bornschlegl, M.X., Engel, F.C., Bond, R., Hemmje, M.L. (eds) Advanced Visual Interfaces. Supporting Big Data Applications. AVI-BDA 2016. Lecture Notes in Computer Science(), vol 10084. Springer, Cham. https://doi.org/10.1007/978-3-319-50070-6_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-50070-6_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50069-0

  • Online ISBN: 978-3-319-50070-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation