The COntaminant behavior in Air, Liquids, and Solids (COALS) Controls Tool is a model to predict the behavior of several trace elements in coal-fired power plants. These trace elements include:
- Arsenic
- Boron
- Bromine
- Chlorine
- Lead
- Mercury
- Selenium
For more information on the tool (including a list of the papers underlying the trace element partitioning behavior models) and how to use the GUI, please see the Open Science Foundation project .
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
To create the GUI using Python (rather than by installing the GUI), run the trace_element_GUI.py file located in the Code/GUI directory.
To install the COALS Controls GUI download the COALS Controls Model.msi file. After the download completes, double click to run the file. The installer will start. You will need to select a location and the file will then install the executable.
This GUI is currently only for Windows machines. An Apple version is currently in development.
Please read CONTRIBUTING.md for details of our code of conduct, and the process for submitting pull requests to us.
To report a bug, create an issue in the GitHub Repository. Please use the Bug Report template .
To requiest a feature, create an issue in the GitHub Repository. Please use the Feature Request template .
- Jiachen Liu, Carnegie Mellon University, jiachen6@andrew.cmu.edu
- Daniel Gingerich, Stanford University, dbginger@stanford.edu
To cite the COALS Control Tool, use the following citation: Liu, J., & Gingerich, D. B. (2019, November 14). COntaminant behavior in Air, Liquids, and Solids (COALS) Controls Tool. DOI: 10.17605/OSF.IO/6RFE8.
This project is licensed under the MIT License - see the LICENSE.md file for details.
The development of the tool was supervised and fudnign was secured by Professor Meagan S. Mauter. The COALS Controls Tool is based on modelling work initially done in a project with Xiaodi Sun and Ines Azevedo.
In adition, we would like to thank the following funding sources:
- U.S. Department of Energy and the National Energy Technology Laboratory under contract DE-FE0031646
- U.S. Department of Energy Oak Ridge Institue for Science Education program
- U.S. National Science Foundation under contract CBET-1554117