Parametric analysis of three dimensional flow models applied to the tidal energy sites in ScotlandCitation for published version: Abdul rahman, A & Venugopal, V 2017, 'Parametric analysis of three dimensional flow models applied to the tidal energy sites in Scotland ' Estuarine, Coastal and Shelf Science, vol. 189, General rightsCopyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Take down policyThe University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer content complies with UK legislation. If you believe that the public display of this file breaches copyright please contact openaccess@ed.ac.uk providing details, and we will remove access to the work immediately and investigate your claim. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Abstract: This paper presents a detailed parametric analysis on various input parameters of 9 two different numerical models, namely Telemac3D and Delft3D, used for the simulation of 10 tidal current flow at potential tidal energy sites in the Pentland Firth in Scotland. The 11 motivation behind this work is to investigate the influence of the input parameters on the 12 M A N U S C R I P T A C C E P T E D ACCEPTED MANUSCRIPT

Abstract

A Tesla turbine is developed in order to utilize the potential energy within household water supply and convert to electricity energy without significant head loss. Pressure within the water supply having higher potential energy compared to the energy needed to reach the reservoir tank. This extra potential energy can be utilized and convert to useful energy before it being waste after reach reservoir tank. The development of Tesla turbine is carried out to determine disc size, disk gap and number of disc base on theoretical calculation of Tesla turbine. Optimization is done by using Computational Fluid Dynamics (CFD) software package. Actual performance analysis for prototype based on RPM and torque also conducted. After the optimization, we observed that the Tesla turbine design yields torque of 0.0330N.m with an efficiency of 10.7% .

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To date, only a few studies have examined the execution of the actuator disc approximation for a full-size turbine. Small-scale models have fewer constraints than large-scale models because the range of time-scale and length-scale is narrower. Hence, this article presents the methodology in implementing the actuator disc approach via the Reynolds-Averaged Navier-Stokes (RANS) momentum source term for a 20-m diameter turbine in an idealised channel. A structured grid, which varied from 0.5 m to 4 m across rotor diameter and width was used at the turbine location to allow for better representation of the disc. The model was tuned to match known coefficient of thrust and operational profiles for a set of validation cases based on published experimental data. Predictions of velocity deficit and turbulent intensity became almost independent of the grid density beyond 11 diameters downstream of the disc. However, in several instances the finer meshes showed larger errors than coarser meshes when compared to the measurements data. This observation was attributed to the way nodes were distributed across the disc swept area. The results demonstrate that the accuracy of the actuator disc was highly influenced by the vertical resolutions, as well as the grid density of the disc enclosure.