2016
DOI: 10.1007/978-3-319-50070-6_2
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Engineering Study of Tidal Stream Renewable Energy Generation and Visualization: Issues of Process Modelling and Implementation

Abstract: Tidal stream energy has the potential to make a significant contribution to the UK energy mix over the coming years. Accurate modelling and visualisation of both tidal resource and array layout will enhance understanding of in stream tidal behaviour leading to improvements in site identification and optimal positioning of individual turbines, and a realistic representation of blade loading conditions will aid designers and manufacturers in creating more robust devices and improve survivability. The main barrie… Show more

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Cited by 4 publications
(2 citation statements)
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“…They oftentimes involve social, economic, cultural political and scientific factors, which are interwoven. The solution to these issues require a myriad of possibilities [8][9][10][11] and a process which involves understanding the practical implications of proposed solutions, evaluating scientific evidence and assessing proposals which could be loaded with environmental and economic consequences. Research into big data and visualization improves understanding and hence helps and should contribute to the making of informed decisions.…”
Section: Control Results Analysis and Discussionmentioning
confidence: 99%
“…They oftentimes involve social, economic, cultural political and scientific factors, which are interwoven. The solution to these issues require a myriad of possibilities [8][9][10][11] and a process which involves understanding the practical implications of proposed solutions, evaluating scientific evidence and assessing proposals which could be loaded with environmental and economic consequences. Research into big data and visualization improves understanding and hence helps and should contribute to the making of informed decisions.…”
Section: Control Results Analysis and Discussionmentioning
confidence: 99%
“…To do this, it calculates the behavior indexes and loss rates of the PV system components [13][14][15][16][17] using data recorded by the inverters, having previously provided all technical specifications of the plant. All parameters analyzed were graphically represented in the form of color maps, boosting the application of advanced data visualization (ADV) techniques [18][19][20][21][22][23] and improved interfaces and decision support (IIDS) tools [24] in the analysis and management of energy production in PV plants. With this type of data visualization, very easy and intuitive information about the behavior of panels and inverters, as well as possible deviations from normal operation or anomalous situations, can be obtained at a glance.…”
Section: Introductionmentioning
confidence: 99%