Introduction

This Matlab package implements an optimization algorithm to find the best fuel surrogate matching a set of experimental properties, such as molecular weight, H/C ratio, cetane number, TSI (Threshold Soot Index), and distillation curves.

The methodology is inspired by the following papers:

• K. Narayanaswamy, H. Pitsch, P. Pepiot, Combustion and Flame, 165, p. 288-309 (2016)
• K. Narayanaswamy, P. Pepiot, Combustion Theory and Modelling, 22(5), p. 883-897 (2018)

It is written purely in Matlab language. It is self-contained. There is no external dependency.

Note: this package requires Matlab R2016b or latter, since it utilizes a new series of Matlab features.

Installation

1. Download the package to a local folder by running:

   git clone https://github.com/acuoci/OpenSMOKEpp_SurrogateOptimizer.git

2. Run Matlab and navigate to the OpenSMOKEpp_SurrogateOptimizer folder, then run the SurrogateOptimizer.m script.

   SurrogateOptimizer

FeedBack

If you find any bug or have any suggestion, please do file issues. We are graceful for any feedback and will do my best to improve this package.

Contributing

1. Fork repository
2. Create a new branch, e.g. checkout -b my-stuff
3. Commit and push your changes to that branch
4. Make sure that the test works (!) (see known errors)
5. Create a pull request
6. I accept your pull request

Don’t bunch up changes, e.g. if you have bug-fixes, new features and style changes, rather make 3 seperate pull requests. Ensure that you introduce tests/examples for any new functionality

License

Released under GPLv2 license.

Contact

alberto.cuoci at polimi dot it