AdsorptionBreakthroughAnalysis

Adsorption Breakthrough Analysis

This program is used to analyse the breakthrough curves generated by adsorption in the rig created by Dr E.G (in the lab as of 1st of September 2022).

The folders include:

• Code
  • Contains the python script
• Explaining program
  • This contains a jupyter notebook explaining how to use the Python script and some extra information if neeeded
• Generating results
  • Contains a simple jupyter notebook with the essentials needed to run and produce the required outputs

🚀 Package interaction

There are two ways to interact with this package.

1. Local installation

• Install via pip, (pip install AdsorptionBreakthroughAnalysis)
• Cloning the github repo (git clone https://github.com/dm937/Adsorption_Breakthrough_Analysis/)
• Use the jupyter notebook locally. (Check Explaining program/Explaining_program.ipynb)

2. Using the online notebook (easy)

• Using the online notebook

If you are unfamiliar with pip then we recommend using online notebook.

Usage

The program takes in MS and coriolis readings and then creates a dataframe containing only the relevant breakthrough data

This is done by the use of classes. Each part of the experiment will be an object containing the related data. for example 14%_CO2_UiO66_sample may be one object.

To create the object setup the ExperimentalSetup dictionary with the relevant values and the MS and coriolis files must be in the same folder and inputted to the ExperimentalSetup aswell. The object is then created by calling the class and inputting the relevant conditions.

Once a blank and sample object are created you can call the standard output function in order to produce the standard set of results.

This is all explained further (with functions/methods called in code cells) in the "Explaining program" notebook

Acknowledgements

This work is part of the PrISMa Project (299659), funded through the ACT Programme (Accelerating CCS Technologies, Horizon 2020 Project 294766). Financial contributions from the Department for Business, Energy & Industrial Strategy (BEIS) together with extra funding from the NERC and EPSRC Research Councils, United Kingdom, the Research Council of Norway (RCN), the Swiss Federal Office of Energy (SFOE), and the U.S. Department of Energy are gratefully acknowledged. Additional financial support from TOTAL and Equinor is also gratefully acknowledged. This work is also part of the USorb-DAC Project, which is supported by a grant from The Grantham Foundation for the Protection of the Environment to RMI’s climate tech accelerator program, Third Derivative.

⚖️ License

The code in this package is licensed under the MIT License.

🍪 Cookiecutter

This package was created with @audreyfeldroy's cookiecutter package using @cthoyt's cookiecutter-snekpack template.

🛠️ For Developers

$ git clone git+https://github.com/RCCS-CaptureTeam/Adsorption_Breakthrough_Analysis.git
$ cd Adsorption_Breakthrough_Analysis
$ pip install -e .

$ tox

$ git clone git+https://github.com/RCCS-CaptureTeam/Adsorption_Breakthrough_Analysis.git
$ cd Adsorption_Breakthrough_Analysis
$ tox -e docs
$ open docs/build/html/index.html

$ tox -e finish