Calculations of parameters and mathematical model of rotary air motor

Dvořák, Lukáš; Fojtášek, Kamil; Řeháček, Vojtěch

doi:10.1051/epjconf/201714302018

Cited by 10 publications

(9 citation statements)

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“…To be able to know the characteristics of the air motor, the researcher must first know the characteristics of the air motor used by looking at the performance curve on the datasheet issued by the factory. The following equation was used to know the motor torque (M) [41].…”

Section: Air Motormentioning

confidence: 99%

“…where M is air motor torque, Vg is the displacement of the motor, Ƥ it is theoretically shown pressure, ƞ p filling efficiency and ƞ m mechanical efficiency by having value for the piston motor with the connecting rod mechanism ƞ p = 0.85 ÷ 0.9 and for the motor with the shear mechanism, ƞ m = 0.9 ÷ 0.92. While to know the motor power of the air, Equation 2 can be used [41], [42].…”

Section: Air Motormentioning

confidence: 99%

“…where Ps is the power of the air motor, the ƞp filling efficiency depends on the linearly variable velocity where ƞ p = 1 -α.n, α expresses the inclination line, so it could be substituted into Equation 3 [41], [42].…”

Section: Air Motormentioning

confidence: 99%

“…Air consumption (Qn) calculated for normal atmospheric conditions could be approximately calculated from Equation 4 [41], [42]…”

Section: Air Motormentioning

confidence: 99%

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Prediction of Power Characteristic Curve on Small Scale Compressed Air Energy Storage by Using Regression Analysis

Widjonarko¹,

Soenoko²,

Wahyudi³

et al. 2018

Preprint

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The research on small scale compressed air energy storage (SS-CAES) becomes an interesting topic especially in optimizing the performance of the system. In this topic, the characteristic curve of the energy storage system is the key to control the system to reach optimum power to the load. In previous research, mathematical equations were used to get the characteristic curve. This paper proposes the polynomial regression based on the actual output data from the prototype to model the characteristic curve of the SS-CAES prototype. The authors have compared the use of mathematical models and polynomial regression in modeling the power curve with actual observational data and determining the level of accuracy of modeling. The results showed that by using polynomial regression, the characteristics of the SS-CAES prototype power curve could only be obtained by using the sample data from the system output with accuracy value 0.967 for R-square. Thus, an approach using this method would facilitate researchers to obtain the characteristics of the curve of the system.

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Section: Air Motormentioning

confidence: 99%

Section: Air Motormentioning

confidence: 99%

Section: Air Motormentioning

confidence: 99%

“…Air consumption (Qn) calculated for normal atmospheric conditions could be approximately calculated from Equation 4 [41], [42]…”

Section: Air Motormentioning

confidence: 99%

See 2 more Smart Citations

Prediction of Power Characteristic Curve on Small Scale Compressed Air Energy Storage by Using Regression Analysis

Widjonarko¹,

Soenoko²,

Wahyudi³

et al. 2018

Preprint

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show abstract

“…However, the problem with existing techniques is that some parameter values must be known first [23]. So that if there is an unknown component variable value, it needs to be observed, either by measuring or dismantling the component such as to know the air-motor component [27,28] and then the mathematical model of the system can be solved. Therefore in this paper will be discussed how to be able to know the characteristic curve of SS-CAES by using another model to solve that problem.…”

Section: Introductionmentioning

confidence: 99%

Power curves prediction using empirical data regression on small scale compressed air energy storage

Widjonarko

Soenoko

Wahyudi

et al. 2019

JMES

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The key to optimizing the system is to know the operating point of the system at the time of loading, or it is known as the power curve. However, to identify the power curve, the existing method is to model the mathematical of the system. Therefore some component characteristics need to be known and need additional observations if the component variable is unknown, and it becomes a long identification process. So, in this exploratory research will be presented the way to find out the power curve of a system without modeling mathematical of the system, but by using the polynomial regression technique. This regression technique form is using the empirical data of the power curve form parameter on SS-CAES prototype. The method is based on five approach model in which is the variation of loading sampling data to be used with the purpose is to find the best sampling of prediction. The data will be analyzed in the form of statistical parameters and the graph to show the evaluation process of this technique. From the results of the regression can be concluded that the power curve of SS-CAES can be identified with a high correlation value of 0.997 (99,745% accuracy) and the best way to take samples of data to be used in this technique is presented in the paper.

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Modelling of piston pneumatic engine operation using the lumped method

Korbut,

Szpica,

Panão

2024

Energy Conversion and Management

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Calculations of parameters and mathematical model of rotary air motor

Abstract: Abstract. The article describes calculations of the parameters of rotary air motors, focuses on the mathematical model of air motor using Matlab Simulink-Simscape and concludes with the comparison of the results of the experiment and a the mathematical model.

Cited by 10 publications

References 0 publications

Prediction of Power Characteristic Curve on Small Scale Compressed Air Energy Storage by Using Regression Analysis

Prediction of Power Characteristic Curve on Small Scale Compressed Air Energy Storage by Using Regression Analysis

Power curves prediction using empirical data regression on small scale compressed air energy storage

Modelling of piston pneumatic engine operation using the lumped method

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