SolydXK, Debian (stable)

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SolydXK, Debian (stable)

• Basic Installation
• Install gurobi solver
• Install matplotlib
• Install networkx/pygraphviz to plot graphs

Basic Installation

On a freshly installed system I had to install the following packages.

sudo apt install python-virtualenv python3-dev pkg-config libfreetype6-dev glpk-utils coinor-cbc python3-tk

Install gurobi solver

The example code below needs to be adapted to your version and your paths.

• Download actual solver from: http://www.gurobi.com
• Copy to installation directory: sudo cp ~/downloads/gurobi7.5.1_linux64.tar.gz /opt/
• Change to the installation directory cd /opt
• Unpack the solver: sudo tar xvfz gurobi7.5.1_linux64.tar.gz
• Get your licence and install it using /opt/gurobi751/linux64/bin/grbgetkey [yourcode]
• Add the follwoing to the .xsessionrc in your home directory:

export GUROBI_HOME="/opt/gurobi751/linux64"
export PATH="${PATH}:${GUROBI_HOME}/bin"
export LD_LIBRARY_PATH="${GUROBI_HOME}/lib"
export GRB_LICENSE_FILE="/path/to/gurobi.lic"

• Got to your installation folder with cd /opt/gurobi751/linux64/ and execute the python installationsudo python setup.py install
• Check you favourite example with solver='gurobi'

Install matplotlib

The following might be necessary. Please check out if plotting works, otherwise you can follow this instruction:

After I followed the installation instructions for oemof 'Using Virtualenv', I had to modify the matplotlibrc. Just change the backend-line:

backend : agg

to

backend : tkagg

You activate your virtualenv by using the following command:

source your_env_name/bin/activate

You can change the matplotlibrc using nano (python version may be different):

nano your_env_name/lib/python3.4/site-packages/matplotlib/mpl-data/matplotlibrc

Now the examples should work.

oemof_examples simple_dispatch

Install networkx/pygraphviz to plot graphs

Use your package manager to install the following packages.

sudo apt install graphviz graphviz-dev pkg-config

Use pip with special options to install networkx and pygraphviz.

pip install pygraphviz --install-option="--include-path=/usr/include/graphviz" --install-option="--library-path=/usr/lib/graphviz/"

pip install networkx