PyRankine

Step by step codes of the ideal rankine cycle simulator to demonstrate:

• Data Structures + Algorithms = Programs

• Computational Thinking

  • step 0 : Zero @ Data Structures,Program architecture, Algorithms
  • step 1 : Basic @ Data Structures,Program architecture, Algorithms
  • step 2 : Forward @ Data Structures,Program architecture, Algorithms

You do not need to do programming step0，1，2.

You need to

• reading the codes
• understanding computational thinking and programming skills
• programing one solution to the rankine cycle

Dependencies：libseuif97

• IF97 high-speed shared library (Windows/Linux)
  • https://github.com/PySEE/SEUIF97

Step by step Codes

• Jupyter Notebook

  • Step0 http://nbviewer.jupyter.org/github/PySEE/PyRankine/blob/master/notebook/IdealRankineCycle-Step0.ipynb

  • Step1 http://nbviewer.jupyter.org/github/PySEE/PyRankine/blob/master/notebook/IdealRankineCycle-Step1.ipynb

StartNB.bat

• Python

cd step0
python rankine.py

cd step1
python rankine.py

cd step2
python rankine.py

Example Rankine Cycle

• Michael J . Mora. Fundamentals of Engineering Thermodynamics(7th Edition). John Wiley & Sons, Inc. 2011

  Chapter 8 : Vapour Power Systems Example 8.1:Analyzing an Ideal Rankine Cycle  Page 438
  

  • Steam is the working fluid in an ideal Rankine cycle.

  • Saturated vapor enters the turbine at 8.0 MPa

  • Saturated liquid exits the condenser at a pressure of 0.008 MPa.

  • The net power output of the cycle is 100 MW.

  • Cooling water enters the condenser at 15°C and exits at 35°C.

• Determine for the cycle

  • the thermal efficiency, %

  • the back work ratio, %

  • the mass flow rate of the steam,in kg/h,

  • the rate of heat transfer, Qin, into the working fluid as it passes through the boiler, in MW,

  • the rate of heat transfer, Qout, from the condensing steam as it passes through the condenser, in MW,

  • the mass flow rate of the condenser cooling water, in kg/h

Reference

• Algorithms + Data Structures = Programs: https://en.wikipedia.org/wiki/Algorithms_%2B_Data_Structures_%3D_Programs

• Computational thinking: https://en.wikipedia.org/wiki/Computational_thinking

• R Sinha, Christiaan J. J. Paredis. etc. Modeling and Simulation Methods for Design of Engineering Systems. Transactions of the ASME[J]. 2001.03(1):84-91

• Process simulation：https://en.wikipedia.org/wiki/Process_simulation

• ASCEND4: The ASCEND Modelling and Simulation Environment http://ascend4.org/

• OpenMDAO: An open-source MDAO framework written in Python http://openmdao.org/

• OpenModelica: An open-source Modelica-based modeling and simulation environment https://openmodelica.org/

• Jeffrey Kantor: Introduction to Chemical Engineering Analysis https://github.com/jckantor/CBE20255

• Maarten Winter: pyDNA https://github.com/mwoc/pydna

• Jan M. Rabaey: SPICE http://bwrcs.eecs.berkeley.edu/Classes/IcBook/SPICE/

• SPICE: https://en.wikipedia.org/wiki/SPICE

• ahkab：a SPICE-like electronic circuit simulator written in Python https://github.com/ahkab/ahkab