Performance Prediction of a S-CO2 Turbine

PDF Publication Title:

Performance Prediction of a S-CO2 Turbine ( performance-prediction-s-co2-turbine )

Previous Page View | Next Page View | Return to Search List

Text from PDF Page: 021

Appl. Sci. 2020, 10, 4999 21 of 21 37. He, K.M.; Zhang, X.Y.; Ren, S.Q.; Sun, J. Deep Residual Learning for Image Recognition. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA, 27–30 June 2016. 38. Boureau, Y.L.; Bach, F.; Yann, L.C.; Ponce, J. Learning Mid-Level Features for Recognition. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, USA, 13–18 June 2010. 39. Glorot, X.; Bordes, A.; Bengio, Y. Deep Sparse Rectifier Neural Networks. J. Mach. Learn. Res. 2011, 15, 315–323. 40. Kingma, D.; Ba, J. Adam: A Method for Stochastic Optimization. In Proceedings of the ICLR 2015: International Conference on Learning Representations 2015, San Diego, CA, USA, 7–9 May 2015. 41. Hinton, G.; Srivastava, N. Neural Networks for Machine Learning Overview of Mini-Batch Gradient Descent. Available online: https://www.cs.toronto.edu/~{}tijmen/csc321/slides/lecture_slides_lec6.pdf (accessed on 17 May 2019). 42. Hadgu, A.T.; Nigam, A.; Diaz-Aviles, E. Large-scale learning with AdaGrad on Spark. In Proceedings of the IEEE International Conference on Big Data, Santa Clara, CA, USA, 29 October–1 November 2015. 43. Shi, D.B.; Liu, T.Y.; Xie, Y.H.; Zhang, D. Design and Optimization of an S-CO2 Turbine Based on Gauss Process Regression. Chin. J. Power Eng. 2019, 39, 876–883. 44. Shi, D.B.; Wang, Y.Q.; Xie, Y.H.; Zhang, D. The Influence of Flow Passage Geometry on the Supercritical Carbon Dioxide Centrifugal Compressor. Therm. Sci. 2017, 22, 253. 45. Shi, D.B.; Xie, Y.H. Aerodynamic Optimization Design of a 150 kW High Performance Supercritical Carbon Dioxide Centrifugal Compressor without a High Speed Requirement. Appl. Sci. 2020, 10, 2093. [CrossRef] 46. Fan, W.; Zhao, R.C.; Han, Z.H.; Wang, Z. Optimization of design parameters and thermodynamic design for radial flow turbine of organic working fluid. Acta Energy Sol. Sin. 2017, 38, 2309–2316. 47. Wu, Z.Y.; Fang, X.J. Research on Variable Geometry Low Pressure Turbine Aerodynamic Performance. J. Propuls. Power 2018, 39, 269–276. © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

PDF Image | Performance Prediction of a S-CO2 Turbine

PDF Search Title:

Performance Prediction of a S-CO2 Turbine

Original File Name Searched:

applsci-10-04999.pdf

DIY 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)