Computational Fluid Dynamic Simulation with Experimental Validation in Turbine Pipeline
William Oñate1, Santiago Maldonado2, Sebastián Taco3, Gustavo Caiza4
1William Oñate, Universidad Politécnica Salesiana, GIECA – Electronic, Control and Automation Research Group, Quito, Ecuador.
2Santiago Maldonado, Universidad Politécnica Salesiana, Quito, Ecuador.
3Sebastían Taco, Escuela Poltécnica Nacional, Quito, Ecuador.
4Gustavo Caiza, Universidad Politécnica Salesiana, GIECA – Electronic, Control and Automation Research Group, Quito, Ecuador.
Manuscript received on 18 June 2019 | Revised Manuscript received on 11 July 2019 | Manuscript Published on 17 July 2019 | PP: 927-931 | Volume-8 Issue-1C2 May 2019 | Retrieval Number: A11590581C219/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: With the increase of carbon dioxide emissions and greenhouse gases generated by the consumption of fossil fuels, this research considers the use of alternative energy sources, like the tidal energy which stores and contains the water in a reservoir through a dam or levee. This energy is later released and is converted into electrical energy through the unidirectional flushing of the fluid by a turbine pipeline, emerging variables such as pressure, speed magnitude, and turbulent kinetic energy. These variables will be studied using a computer dynamic 2D model simulated by the ANSYS FLUENT software by setting boundary conditions obtained by digital methodology of classical mechanics of fluids. The results were compared with those obtained experimentally through a tidal module, which consists of elements that were selected after criterion arrays, finding that, during the fluid download process for the energy generation, there is a qualitative similarity in the four areas of the pipeline of turbine (entry, final part of the leeward side of the bulb, posterior and anterior to the propeller), as well as the quantitative values presented similarity in two inner points of the turbine pipeline, getting an error of 1.69% and 1.95% respectively, thus validating the prediction.
Keywords: Alternative Energy, Bulb, Dyke, Tidal Turbine.
Scope of the Article: Computational Economics, Digital Photogrammetric