PDF Publication Title:
Text from PDF Page: 012
30 10 10 -10 -30 -50 -10 GV Angle Chord length LE Angle TE Angle LE Radius PS Radius Stagger Angle -30 GV Angle Chord length LE Angle TE Angle LE Radius PS Radius Stagger Angle Energies 2019, 12, 2791 -50 12 of 22 Torque Coefficient Efficiency the studied input parameters is shown in Figure 10d. It is observed that the efficiency is mostly affected by the LE angle followed by the GV angle and TE angle. The LE angle being an effective parameter on Figure 10. Local sensitivity of input parameters at the optimum design point. Local sensitivity of the both CT and CA, has a positive effect on the efficiency due to its higher impact on the torque coefficient input parameters on the: (a): Flow coefficient; (b) Input coefficient; (c) Torque coefficient; (d) than the input coefficient. The negative effect of the GV angle can also be explained by its effect on the Efficiency. input power and flow coefficient terms. It should be noted that changes to the combination of input parameters lead to the optimum It should be noted that changes to the combination of input parameters lead to the optimum design point, however, the 3D response of efficiency based on the two most sensitive parameters (LE design point, however, the 3D response of efficiency based on the two most sensitive parameters (LE angle and GV angle) is illustrated in Figure 11. This figure shows that the optimum efficiency was angle and GV angle) is illustrated in Figure 11. This figure shows that the optimum efficiency was identified clearly within the specified variation bounds of these two parameters. identified clearly within the specified variation bounds of these two parameters. 30 Figure 11. Turbine efffificiency response versus the most sensitive input parameters. 6.1. Comparison of the Initial and the Optimum Outflow Turbine Geometries 6.1. Comparison of the Initial and the Optimum Outflow Turbine Geometries After finding the optimum design for the outflow turbine, its operation was compared to the After finding the optimum design for the outflow turbine, its operation was compared to the initial outflow geometry determined in Table 2. A comparison of the flow rate versus total pressure initial outflow geometry determined in Table 2. A comparison of the flow rate versus total pressure drop of the initial and the optimised geometries is illustrated in Figure 12a. It is clearly shown that drop of the initial and the optimised geometries is illustrated in Figure 12a. It is clearly shown that for a given range of the total pressure drop, the optimised geometry acts more resistive to the flow for a given range of the total pressure drop, the optimised geometry acts more resistive to the flow rate than the initial geometry. Considering the local sensitivity figure of the flow coefficient shown in rate than the initial geometry. Considering the local sensitivity figure of the flow coefficient shown Figure 10a, the flow rate is mainly affected by the GV angle and the setting angle. According to the in Figure 10a, the flow rate is mainly affected by the GV angle and the setting angle. According to the geometrical characteristics of the initial and the optimised designs (as mentioned in Tables 2 and 3 geometrical characteristics of the initial and the optimised designs (as mentioned in Tables 2 and 3 respectively), both geometries have a close GV angle. Thus, the higher resistance of the optimised respectively), both geometries have a close GV angle. Thus, the higher resistance of the optimised geometry can mainly be due to its 10 degrees higher LE angle compared to the initial geometry. For the geometry can mainly be due to its 10 degrees higher LE angle compared to the initial geometry. For same reason, the input coefficient of the optimised design (Figure 12b) is significantly higher than the same reason, the input coefficient of the optimised design (Figure 12b) is significantly higher than thatoftheinitialdesign,whichcanbeduetothedecreasedflowvelocityatthemeanradius(V )of R that of the initial design, which can be due to the decreased flow velocity at the mean radius ( ) of the optimised design. The term V , as shown in the Equation (2), has a reverse impact on the input R the optimised design. The term , as shown in the Equation (2), has a reverse impact on the input coefficient values considering (Q = ARVR). Comparison of the velocity contours in the rotor domain of coefficient values considering ( Q = ARVR ). Comparison of the velocity contours in the rotor domain of both geometries ∆P0 = 1400 Pa, in Figure 13, clearly illustrates the lower air velocity at the mid-chord of the optimised design. Local Sensitivity Local SensitivityPDF Image | Unidirectional Radial-Air-Turbine OWC Wave Energy Converters
PDF Search Title:
Unidirectional Radial-Air-Turbine OWC Wave Energy ConvertersOriginal File Name Searched:
energies-12-02791.pdfDIY PDF Search: Google It | Yahoo | Bing
NFT (Non Fungible Token): Buy our tech, design, development or system NFT and become part of our tech NFT network... More Info
IT XR Project Redstone NFT Available for Sale: NFT for high tech turbine design with one part 3D printed counter-rotating energy turbine. Be part of the future with this NFT. Can be bought and sold but only one design NFT exists. Royalties go to the developer (Infinity) to keep enhancing design and applications... More Info
Infinity Turbine IT XR Project Redstone Design: NFT for sale... NFT for high tech turbine design with one part 3D printed counter-rotating energy turbine. Includes all rights to this turbine design, including license for Fluid Handling Block I and II for the turbine assembly and housing. The NFT includes the blueprints (cad/cam), revenue streams, and all future development of the IT XR Project Redstone... More Info
Infinity Turbine ROT Radial Outflow Turbine 24 Design and Worldwide Rights: NFT for sale... NFT for the ROT 24 energy turbine. Be part of the future with this NFT. This design can be bought and sold but only one design NFT exists. You may manufacture the unit, or get the revenues from its sale from Infinity Turbine. Royalties go to the developer (Infinity) to keep enhancing design and applications... More Info
Infinity Supercritical CO2 10 Liter Extractor Design and Worldwide Rights: The Infinity Supercritical 10L CO2 extractor is for botanical oil extraction, which is rich in terpenes and can produce shelf ready full spectrum oil. With over 5 years of development, this industry leader mature extractor machine has been sold since 2015 and is part of many profitable businesses. The process can also be used for electrowinning, e-waste recycling, and lithium battery recycling, gold mining electronic wastes, precious metals. CO2 can also be used in a reverse fuel cell with nafion to make a gas-to-liquids fuel, such as methanol, ethanol and butanol or ethylene. Supercritical CO2 has also been used for treating nafion to make it more effective catalyst. This NFT is for the purchase of worldwide rights which includes the design. More Info
NFT (Non Fungible Token): Buy our tech, design, development or system NFT and become part of our tech NFT network... More Info
Infinity Turbine Products: Special for this month, any plans are $10,000 for complete Cad/Cam blueprints. License is for one build. Try before you buy a production license. May pay by Bitcoin or other Crypto. Products Page... More Info
CONTACT TEL: 608-238-6001 Email: greg@infinityturbine.com (Standard Web Page)