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

John Harrison, James Uhomoibhi

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Tidal stream energy has the potential to make a significant contributionto energy mix in the future. Accurate modelling and visualisation of bothtidal resource and array layout enhances understanding of in-stream tidal behaviourleading to improvements in site identification and optimal positioning ofindividual turbines. A realistic representation of blade loading conditions will aiddesigners and manufacturers in creating more robust devices and improve survivability.The main barriers to large scale deployments of tidal arrays are the costsassociated with manufacturing, installation and maintenance. Therefore, presentlytidal energy is not competitive on cost with more established renewabletechnologies. The current position paper investigates and reports on resourcemodelling, site selection, selecting optimal array configurations and the designand manufacture of devices for tidal stream renewable energy generation. This isaimed at developing models to reliably simulate real conditions, enhance understandingof tidal processes, flow regimes and device survivability issues.
LanguageEnglish
Title of host publicationAdvanced Visual Interfaces Supporting Big Data, AVI 2016 Workshop, AVI-BDA 2016, Bari, Italy, June 7–10, 2016, Revised Selected Papers, Lecture Notes in Computer Science, LNCS 10084
Place of PublicationSwitzerland
Pages19-34
DOIs
Publication statusPublished - Dec 2016

Fingerprint

Visualization
Site selection
Turbomachine blades
Turbines
Costs

Keywords

  • Tidal stream energy · Tidal turbines · Tidal resource · Visualisation · Modelling

Cite this

Harrison, J., & Uhomoibhi, J. (2016). Engineering Study of Tidal Stream Renewable Energy Generation and Visualization: Issues of Process Modelling and Implementation. In Advanced Visual Interfaces Supporting Big Data, AVI 2016 Workshop, AVI-BDA 2016, Bari, Italy, June 7–10, 2016, Revised Selected Papers, Lecture Notes in Computer Science, LNCS 10084 (pp. 19-34). Switzerland. https://doi.org/10.1007/978-3-319-50070-6
Harrison, John ; Uhomoibhi, James. / Engineering Study of Tidal Stream Renewable Energy Generation and Visualization: Issues of Process Modelling and Implementation. Advanced Visual Interfaces Supporting Big Data, AVI 2016 Workshop, AVI-BDA 2016, Bari, Italy, June 7–10, 2016, Revised Selected Papers, Lecture Notes in Computer Science, LNCS 10084. Switzerland, 2016. pp. 19-34
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Harrison, J & Uhomoibhi, J 2016, Engineering Study of Tidal Stream Renewable Energy Generation and Visualization: Issues of Process Modelling and Implementation. in Advanced Visual Interfaces Supporting Big Data, AVI 2016 Workshop, AVI-BDA 2016, Bari, Italy, June 7–10, 2016, Revised Selected Papers, Lecture Notes in Computer Science, LNCS 10084. Switzerland, pp. 19-34. https://doi.org/10.1007/978-3-319-50070-6

Engineering Study of Tidal Stream Renewable Energy Generation and Visualization: Issues of Process Modelling and Implementation. / Harrison, John; Uhomoibhi, James.

Advanced Visual Interfaces Supporting Big Data, AVI 2016 Workshop, AVI-BDA 2016, Bari, Italy, June 7–10, 2016, Revised Selected Papers, Lecture Notes in Computer Science, LNCS 10084. Switzerland, 2016. p. 19-34.

Research output: Chapter in Book/Report/Conference proceedingChapter

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Harrison J, Uhomoibhi J. Engineering Study of Tidal Stream Renewable Energy Generation and Visualization: Issues of Process Modelling and Implementation. In Advanced Visual Interfaces Supporting Big Data, AVI 2016 Workshop, AVI-BDA 2016, Bari, Italy, June 7–10, 2016, Revised Selected Papers, Lecture Notes in Computer Science, LNCS 10084. Switzerland. 2016. p. 19-34 https://doi.org/10.1007/978-3-319-50070-6