scholarly journals Parameter redundancy in Jolly‐Seber tag loss models

2021 ◽  
Vol 11 (3) ◽  
pp. 1131-1149
Author(s):  
Wei Cai ◽  
Stephanie Yurchak ◽  
Diana J. Cole ◽  
Laura L. E. Cowen
Keyword(s):  
Tag Loss ◽  
Parameter Redundancy ◽  
Loss Models

scholarly journals Analysis of Radial Inflow Turbine Losses Operating with Supercritical Carbon Dioxide

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3561
Author(s):  
Antti Uusitalo ◽  
Aki Grönman
Keyword(s):  
Fluid Dynamic ◽  
Dynamic Simulations ◽  
Average Deviation ◽  
Loss Analysis ◽  
Specific Speed ◽  
Loss Models ◽  
Rotor Losses ◽  
Radial Turbines ◽  
Design Power ◽  
Good Agreement

The losses of supercritical CO2 radial turbines with design power scales of about 1 MW were investigated by using computational fluid dynamic simulations. The simulation results were compared with loss predictions from enthalpy loss correlations. The aim of the study was to investigate how the expansion losses are divided between the stator and rotor as well as to compare the loss predictions obtained with the different methods for turbine designs with varying specific speeds. It was observed that a reasonably good agreement between the 1D loss correlations and computational fluid dynamics results can be obtained by using a suitable set of loss correlations. The use of different passage loss models led to high deviations in the predicted rotor losses, especially with turbine designs having the highest or lowest specific speeds. The best agreement in respect to CFD results with the average deviation of less than 10% was found when using the CETI passage loss model. In addition, the other investigated passage loss models provided relatively good agreement for some of the analyzed turbine designs, but the deviations were higher when considering the full specific speed range that was investigated. The stator loss analysis revealed that despite some differences in the predicted losses between the methods, a similar trend in the development of the losses was observed as the turbine specific speed was changed.

Validation of Inductor Analytical Loss Models under Saturation Conditions for PWM inverter

2019 ◽  
Author(s):  
Adrien Voldoire ◽  
Jean-Paul Ferrieux ◽  
Jean-Luc Schanen ◽  
Corentin Rizet ◽  
Cyrille Gautier ◽  
...  
Keyword(s):  
Pwm Inverter ◽  
Loss Models

scholarly journals Probabilistic Flood Loss Models for Companies

2020 ◽  
Vol 56 (9) ◽  
Author(s):  
Lukas Schoppa ◽  
Tobias Sieg ◽  
Kristin Vogel ◽  
Gert Zöller ◽  
Heidi Kreibich
Keyword(s):  
Flood Loss ◽  
Loss Models

scholarly journals Development of Moisture Loss Models in Steam Turbines

2011 ◽  
Vol 77 (775) ◽  
pp. 882-893 ◽  
Author(s):  
Hiroyuki KAWAGISHI ◽  
Akihiro ONODA ◽  
Naoki SHIBUKAWA ◽  
Yoshiki NIIZEKI
Keyword(s):  
Moisture Loss ◽  
Steam Turbines ◽  
Loss Models

Saturable Thermally-Representative Steinmetz-Based Loss Models

2013 ◽  
Vol 49 (11) ◽  
pp. 5438-5445 ◽  
Author(s):  
Jamal Y. Alsawalhi ◽  
Scott D. Sudhoff
Keyword(s):  
Loss Models

On the analysis of a class of loss models incorporating time dependence

2013 ◽  
Vol 3 (1) ◽  
pp. 273-294 ◽  
Author(s):  
Ling Guo ◽  
David Landriault ◽  
Gordon E. Willmot
Keyword(s):  
Time Dependence ◽  
Loss Models

Toward a Unified Approach to Fitting Loss Models

2006 ◽  
Vol 10 (1) ◽  
pp. 63-83 ◽  
Author(s):  
Stuart Klugman ◽  
Jacques Rioux
Keyword(s):  
Unified Approach ◽  
Loss Models

scholarly journals Multiservice Loss Models for Cloud Radio Access Networks

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Iskanter-Alexandros Chousainov ◽  
Ioannis Moscholios ◽  
Panagiotis Sarigiannidis ◽  
Michael Logothetis
Keyword(s):  
Access Networks ◽  
Cloud Radio Access Networks ◽  
Radio Access Networks ◽  
Radio Access ◽  
Loss Models

Transonic Axial Compressors Loss Correlations: Part I — Analysis and Update of Loss Models

2020 ◽  
Author(s):  
Marco Manfredi ◽  
Fabrizio Fontaneto
Keyword(s):  
Axial Compressor ◽  
Reduced Order ◽  
Axial Compressors ◽  
Analysis And Design ◽  
Main Driver ◽  
Validity Range ◽  
Loss Models ◽  
Generation Mechanisms ◽  
Semi Empirical ◽  
System Designs

Abstract The quest for greener, more efficient aircraft engines is the main driver for the development of innovative compression system designs. Reduced order design tools rely nevertheless on semi-empirical loss models, whose validity range is often not net or in general not verified. The present work aims at defining a set of loss correlations, which could readily be employed in the analysis and design process of modern transonic axial compressors. In part I, the main entropy generation mechanisms are described together with a review of the most commonly employed modelling approaches. Selected loss models are then deeper investigated and updated to increase both their range of validity and the accuracy of their predictions. In Part II, the effectiveness of the investigated models will be tested for one specific low aspect ratio axial compressor stage.

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