Modelling Steam Power Cycle using Python

Authors

  • Arnav Raj Joshi  Department of Mechanical Engineering, Jaypee University of Engineering and Technology, A.B. Road, Raghogarh, Guna, India
  • Adarsh Deo  Department of Mechanical Engineering, Jaypee University of Engineering and Technology, A.B. Road, Raghogarh, Guna, India
  • Aman Parashar  Department of Mechanical Engineering, Jaypee University of Engineering and Technology, A.B. Road, Raghogarh, Guna, India
  • Dhananjay R. Mishra  Department of Mechanical Engineering, Jaypee University of Engineering and Technology, A.B. Road, Raghogarh, Guna, India
  • Pankaj Dumka  Department of Mechanical Engineering, Jaypee University of Engineering and Technology, A.B. Road, Raghogarh, Guna, India

DOI:

https://doi.org//10.32628/CSEIT228671

Keywords:

Power plant, Rankine Cycle, Python Programming, PYroMAT

Abstract

In this research article an attempt has been made to solve thermal power plant problems using Python programming. The hand calculations and use of thermodynamic property tables make it difficult sometimes to arrive at the correct solutions. But due to the PYroMAT library one can easily search for property data and solve for the Rankine cycle. Also, the python makes it so easy to plot the Rankine cycle once data at each equilibrium point is obtained. Two touch numerical problems have been used to show the capability of PYroMAT library in solving for the power plant thermodynamics problems. The results obtained from the codes matches exactly with the literature.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2023-02-28

Issue

Volume 9, Issue 1, January-February-2023

Section

Research Articles

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How to Cite

[1]
Arnav Raj Joshi, Adarsh Deo, Aman Parashar, Dhananjay R. Mishra, Pankaj Dumka, " Modelling Steam Power Cycle using Python, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 1, pp.152-163, January-February-2023. Available at doi : https://doi.org/10.32628/CSEIT228671