Metadata-Version: 2.1
Name: realtpl
Version: 0.0.9
Summary: Computation of real gas thermodynamics for fluids at different pressures and temperatures.
Home-page: https://github.com/ttrummler/realtpl
Author: T Trummler, M Glatzle
Author-email: theresa.trummler@gmail.com
License: GNU General Public License v3 or later (GPLv3+)
Keywords: thermodynamics,cubic equation of state
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Scientific/Engineering
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: matplotlib
Requires-Dist: pyyaml
Requires-Dist: CoolProp

# What is `realtpl`?
`realtpl` (real gas thermodynamic python library) computes the density (rho),
heat capacity (cp), speed of sound (sound), viscosity (visc) and heat
conductivity (lambda) using a thermodynamic model based on cubic equations of
state (EoS) and compares it with reference data from the open source library
`CoolProp`. The cubic EoS are the well-known Soave-Redlich-Kwong (SRK) and
Peng-Robinson (PR) EoS and the more sophisticated three-parameter
Redlich-Kwong-Peng-Robinson (RKPR) EoS. The latter employs the critical compressibility
factor for the EoS parameters, for details see reference _Trummler et al._. The
current implementation is primarily designed to evaluate results over a temperature range
(with defined number of temperature steps) for a given pressure level. The data
is displayed graphically and can also be exported to `csv` files for further
processing. The only mandatory input is the fluid name, the temperature range
and the pressure. Moreover, there is the additional feature to evaluate the data 
over a desired temperature and pressure range aiming to support table generations.

Fluid properties, such as mass, critical pressure etc., are directly extracted
from `CoolProp`. This data is also saved to the output directory (specified in
the configuration file) as `<fluidname>.out`. For the calculation of the heat
capacity a reference value has to be evaluated, which is done using the NASA 7
or 9 coefficient polynomials. Therefore, the corresponding coefficients have to be provided.
For selected fluids, we have already generated a database in the
corresponding file - `nasa_7.yaml` or `nasa_9.yaml`. More data can be found in
the references provided in the header of these files.

A special feature of `realtpl` is that all calculations with the suggested
thermodynamic model are vectorized, making them very fast.

# Motivation and targeted audience
`realtpl` is open-source software (under GNU GPL License) for physicists,
engineers, scientists, technicians and anyone interested in real gas
thermodynamics. It runs on all operating systems which support Python, is quick
to install, free of charge and designed to be easy to use. The indented use is
to run the executable and modify the configuration files only.

`realtpl` has been specifically designed to be used for CFD
simulations. Checking the accuracy of a thermodynamic model in advance is a
central step before conducting CFD simulations. For different fluids as well as
different pressure and temperature ranges, such an evaluation can be complicated 
and especially time-consuming. To this end, we have written `realtpl` to easily 
compare the results obtained with a thermodynamic model based on cubic EoS. For more details 
see reference _Trummler et al._.

# Installation

`realtpl` is available as a Python package. Using `pip` you can simply install
it with:

````bash
 pip install realtpl
````

Additionally, `realtpl` is also available on github
https://github.com/ttrummler/realtpl. Clone the latest version with:

````bash
git clone https://github.com/ttrummler/realtpl
````

And proceed to install (use the `-e` option for an editable installation):

````bash
cd realtpl
pip install .
````

After installation, you will have an executable named `realtpl`, which you can
run anywhere.

# Testing
Testing is configured using `tox`. If not already installed, install `tox`
using pip

````bash
pip install tox
````

Then, you can simply enter the `tox` and the tests will automatically be executed

````bash
tox
````

**Note** that it might not run for all tested python versions (py38, py39,
py310) on your OS.

# Running `realtpl`
To run the test example use

````bash
realtpl --config /path/to/tests/example/config.yaml
````

In the configuration file everything for the computation is specified.

# Configuration file

See `tests/example/` for example configuration files.
A minimum working example for the configuration file reads:

````yaml
fluid_name: nHexane
pressure_Pa: 6.0e+06
temperature_start_K: 300
temperature_end_K: 600
````

Note that pressure and temperature input has to be in the SI units Kelvin and
Pascal, as also indicated in the parameter names.

Additional optional configuration parameters are:

````yaml
fluid_name: nHexane
eos_list: [SRK, PR, RKPR] # optional; default: SRK, PR, RKPR;
include_ref_data: true # optional; default: true
pressure_Pa: 6.0e+06
temperature_start_K: 300
temperature_end_K: 600
temperature_step_K: 1 # optional; default: 1
n_nasa_coeff: 7 # optional; default: 7
output_dir: results # optional; default: results
save_data_to_csv: true # optional;
show_plots: false # optional; default: true
save_plots: true # optional; default: false
show_deviation: true # optional; default: false
save_deviation: true # optional; default: false
performance_tracking: true # optional; default: false
````

Apart from that, also evaluations for a pressure and temperature range are
possible. However, then no graphical output can be activated.

````yaml
fluid_name: nHexane
eos_list: [SRK, PR, RKPR]
include_ref_data: true
pressure_start_Pa: 4.0e+06
pressure_end_Pa: 8.0e+06
pressure_step_Pa: 1.0e+06
temperature_start_K: 300
temperature_end_K: 600
temperature_step_K: 100
n_nasa_coeff: 7
output_dir: results
save_data_to_csv: true
show_plots: false
save_plots: false
````

The configuration data used for the calculation is written out to the output 
directory to `config_data.out`.

The selection of fluids (`fluid_name`) is limited by the availability of 
corresponding NASA coefficients in the data files `nasa_X.yaml`. Currently 
available fluids are listed at the end of this description.

# Latest source code

The latest development version of `realtpl` can be obtained at

    https://github.com/ttrummler/realtpl

# Bug reports

To report bugs, please use `realtpl`’s Bug Tracker at:

    https://github.com/ttrummler/realtpl

# License information

See LICENSE for information on the terms & conditions for usage of this
software, and a DISCLAIMER OF ALL WARRANTIES.

Cite `realtpl` if used in your work or to generate data required for your
work. Cite as: _Trummler, T., Glatzle, M., Doehring, A., Urban, N., Klein, M.,
Thermodynamic modeling for numerical simulations based on the generalized cubic
equation of state._

**NOTE** the license for the included database of the 7 coefficient NASA 
polynomials used for the calculation of the caloric properties. Using this 
data requires proper citation to be included in the pertinent publications. 
Cite:
_Goos, E., Burcat, A., Ruscic, B.. New NASA Thermodynamic Polynomials Database 
With Active Thermochemical Tables updates. Report ANL 05/20 TAE 960._

# Citation

To cite `realtpl` in publications use:

_Trummler, T., Glatzle, M., Doehring, A., Urban, N., Klein, M., Thermodynamic 
modeling for numerical simulations based on the generalized cubic equation of state._

# Available fluids 

The selection of fluids (`fluid_name`) is limited by the availability of 
corresponding NASA coefficients in the data files `nasa_X.yaml`. Extensions 
are possible at any time and can be achieved by simply adding the correct data 
in the file `nasa_7.yaml` or `nasa_9.yaml`. The currently available fluids are 
listed below. Please pay attention to the identical spelling of the fluid 
names in the configuration file.    

NASA 7 coefficient polynomials (`n_nasa_coeff: 7`):
- Nitrogen
- nDodecane
- nHexane
- Cyclohexane
- Cyclopentane
- Methane
- Methanol
- Ethanol
- Propane
- Butane
- nPentane
- CarbonDioxide

NASA 9 coefficient polynomials (`n_nasa_coeff: 9`):
- Nitrogen
- Hydrogen
- nDodecane
- nHexane
- Cyclopentane
- Cyclohexane
- Propane
- Methane
- CarbonDioxide
- Methanol
- Ethanol
