efficiency calculation
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Author(s):  
Anqi Shen ◽  
Chuwei Zhang ◽  
Yikun Liu ◽  
Fengjiao Wang ◽  
Shuang Liang

Author(s):  
Georges Salameh ◽  
Guillaume Goumy ◽  
Pascal Chesse

Abstract A turbocharger efficiency performance map given by the supplier is calculated using adiabatic flow equations and non-adiabatic experimental data. The experimental data used for this calculation is measured in hot gas stand conditions which are not adiabatic and the efficiency calculation needs correction. This paper presents a method to correct the isentropic efficiency of a compressor using the supplier maps and a heat transfer model applied on the compressor. Water is circulating in the central housing to cool the turbocharger and this water flow could be considered as insulation for heat transfer between the compressor and the turbine. The thermal effect of the turbine on the compressor is then neglected and the compressor heat flux is calculated and used to correct the isentropic efficiency calculation. The heat transfer is considered between the compressor and the surrounding environment and between the compressor and the central housing. Experimental adiabatic measurements are used to validate the model. Experimental tests are carried with different oil and water temperatures combinations to test the accuracy of the heat transfer model with these different combinations.


Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1859
Author(s):  
Jeong Lee ◽  
Jun-Mo Kim ◽  
Junsin Yi ◽  
Chung-Yuen Won

Aging increases the internal resistance of a battery and reduces its capacity; therefore, energy storage systems (ESSs) require a battery management system (BMS) algorithm that can manage the state of the battery. This paper proposes a battery efficiency calculation formula to manage the battery state. The proposed battery efficiency calculation formula uses the charging time, charging current, and battery capacity. An algorithm that can accurately determine the battery state is proposed by applying the proposed state of charge (SoC) and state of health (SoH) calculations. To reduce the initial error of the Coulomb counting method (CCM), the SoC can be calculated accurately by applying the battery efficiency to the open circuit voltage (OCV). During the charging and discharging process, the internal resistance of a battery increase and the constant current (CC) charging time decrease. The SoH can be predicted from the CC charging time of the battery and the battery efficiency, as proposed in this paper. Furthermore, a safe system is implemented during charging and discharging by applying a fault diagnosis algorithm to reduce the battery efficiency. The validity of the proposed BMS algorithm is demonstrated by applying it in a 3-kW ESS.


2021 ◽  
Vol 1 (395) ◽  
pp. 162-169
Author(s):  
A. Zavyalov ◽  
◽  
Yu. Patrakov ◽  

Object and purpose of research. Laser bathymetry, improvement and development of optical methods and instrumentation for marine environment studies. Materials and methods. Software in support of analytical methods for laser bathymetry taking into account hydrolidar parameters and probing routes. Main results. Efficiency improvement for calculation methods and demonstration of practical value for laser bathymetry in marine environment studies based on the developed physical & mathematical model. Conclusion. Calculation methods of laser bathymetry presented in this paper open new opportunities in lidar studies of marine environment at offshore oil fields of Northern seas.


Author(s):  
Jianqing Yang ◽  
Jianrong Zhou ◽  
Lianjun Zhang ◽  
Jinhao Tan ◽  
Xingfen Jiang ◽  
...  

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