Guidelines

examples/towards_co2_valorization/README.md

+# Towards CO2 Valorization in a multi remote renewable energy hub framework
+
+Repository for our scientific paper results: https://arxiv.org/abs/2303.09454 .
+
+
+# Installation
+
+First you need to setup your conda environment.
+
+```conda env create -f environment.yml```
+
+You can also use any management of environment you want the installed libraries are standard:
+matplotlib, numpy, pandas. 
+
+The only special library is gboml. You can find the documentation and installation guide here:
+https://gboml.readthedocs.io/en/latest/
+
+
+# How to use the code
+
+In order to reproduce the results obtained in the article run:
+
+```python3 main.py -sc num_scenario -y 2```
+
+There are 5 scenarios from 1 to 5.
+
+# Cite
+Please, if you use this code in your work consider citing https://arxiv.org/abs/2303.09454 : 
+
+@misc{dachet2023co2,
+      title={Towards CO2 valorization in a multi remote renewable energy hub framework}, 
+      author={Victor Dachet and Amina Benzerga and Raphaël Fonteneau and Damien Ernst},
+      year={2023},
+      eprint={2303.09454},
+      archivePrefix={arXiv},
+      primaryClass={math.OC}
+}
+
+
+

examples/towards_co2_valorization/environment.yml

+name: investment
+channels:
+  - anaconda
+  - conda-forge
+  - defaults
+dependencies:
+  - blas=2.116=openblas
+  - blas-devel=3.9.0=16_osxarm64_openblas
+  - bottleneck=1.3.4=py310h96f19d2_0
+  - brotli=1.0.9=h1a8c8d9_8
+  - brotli-bin=1.0.9=h1a8c8d9_8
+  - bzip2=1.0.8=h620ffc9_4
+  - ca-certificates=2022.12.7=h4653dfc_0
+  - certifi=2022.12.7=pyhd8ed1ab_0
+  - cycler=0.11.0=pyhd8ed1ab_0
+  - fftw=3.3.10=nompi_h3046061_106
+  - fonttools=4.25.0=pyhd3eb1b0_0
+  - freetype=2.12.1=h1192e45_0
+  - giflib=5.2.1=h27ca646_2
+  - jpeg=9e=he4db4b2_2
+  - kiwisolver=1.4.2=py310hc377ac9_0
+  - lcms2=2.14=h8193b64_0
+  - lerc=3.0=hbdafb3b_0
+  - libblas=3.9.0=16_osxarm64_openblas
+  - libbrotlicommon=1.0.9=h1a8c8d9_8
+  - libbrotlidec=1.0.9=h1a8c8d9_8
+  - libbrotlienc=1.0.9=h1a8c8d9_8
+  - libcblas=3.9.0=16_osxarm64_openblas
+  - libcxx=14.0.6=h2692d47_0
+  - libdeflate=1.8=h1a28f6b_5
+  - libffi=3.4.2=hca03da5_5
+  - libgfortran=5.0.0=11_3_0_hd922786_26
+  - libgfortran5=11.3.0=hdaf2cc0_26
+  - liblapack=3.9.0=16_osxarm64_openblas
+  - liblapacke=3.9.0=16_osxarm64_openblas
+  - libopenblas=0.3.21=openmp_hc731615_3
+  - libpng=1.6.37=hb8d0fd4_0
+  - libtiff=4.4.0=h2fd578a_2
+  - libwebp=1.2.4=h328b37c_0
+  - libwebp-base=1.2.4=h57fd34a_0
+  - llvm-openmp=15.0.5=h7cfbb63_0
+  - lz4-c=1.9.3=hbdafb3b_1
+  - matplotlib=3.5.3=py310hca03da5_0
+  - matplotlib-base=3.5.3=py310hc377ac9_0
+  - munkres=1.1.4=pyh9f0ad1d_0
+  - ncurses=6.3=h1a28f6b_3
+  - numexpr=2.8.1=py310h5a06f4b_2
+  - numpy-base=1.23.4=py310haf87e8b_0
+  - openblas=0.3.21=openmp_hf78f355_3
+  - openssl=1.1.1t=h03a7124_0
+  - packaging=21.3=pyhd8ed1ab_0
+  - pandas=1.4.2=py310hc377ac9_0
+  - patsy=0.5.3=pyhd8ed1ab_0
+  - pillow=9.2.0=py310h4d1bdd5_1
+  - pip=22.2.2=py310hca03da5_0
+  - pyparsing=3.0.9=pyhd8ed1ab_0
+  - python=3.10.8=hbdb9e5c_0
+  - python-dateutil=2.8.2=pyhd8ed1ab_0
+  - readline=8.2=h1a28f6b_0
+  - seaborn=0.12.2=hd8ed1ab_0
+  - seaborn-base=0.12.2=pyhd8ed1ab_0
+  - setuptools=65.5.0=py310hca03da5_0
+  - six=1.16.0=pyh6c4a22f_0
+  - sqlite=3.39.3=h1058600_0
+  - statsmodels=0.13.5=py310hbda83bc_1
+  - tk=8.6.12=hb8d0fd4_0
+  - tornado=6.2=py310h1a28f6b_0
+  - typing_extensions=4.4.0=pyha770c72_0
+  - tzdata=2022f=h04d1e81_0
+  - wheel=0.37.1=pyhd3eb1b0_0
+  - xz=5.2.6=h1a28f6b_0
+  - zlib=1.2.13=h5a0b063_0
+  - zstd=1.5.2=h8574219_0
+  - pip:
+    - anyio==3.6.2
+    - appnope==0.1.3
+    - argon2-cffi==21.3.0
+    - argon2-cffi-bindings==21.2.0
+    - asttokens==2.1.0
+    - attrs==22.1.0
+    - babel==2.11.0
+    - backcall==0.2.0
+    - beautifulsoup4==4.11.1
+    - bleach==5.0.1
+    - cffi==1.15.1
+    - charset-normalizer==2.1.1
+    - debugpy==1.6.3
+    - decorator==5.1.1
+    - defusedxml==0.7.1
+    - entrypoints==0.4
+    - executing==1.2.0
+    - fastjsonschema==2.16.2
+    - gboml==0.1.3
+    - gurobipy==9.5.2
+    - idna==3.4
+    - ipykernel==6.17.1
+    - ipython==8.6.0
+    - ipython-genutils==0.2.0
+    - jedi==0.18.2
+    - jinja2==3.1.2
+    - json5==0.9.10
+    - jsonschema==4.17.0
+    - jupyter-client==7.4.7
+    - jupyter-core==5.0.0
+    - jupyter-server==1.23.3
+    - jupyterlab==3.5.0
+    - jupyterlab-pygments==0.2.2
+    - jupyterlab-server==2.16.3
+    - markupsafe==2.1.1
+    - matplotlib-inline==0.1.6
+    - mistune==2.0.4
+    - nbclassic==0.4.8
+    - nbclient==0.7.0
+    - nbconvert==7.2.5
+    - nbformat==5.7.0
+    - nest-asyncio==1.5.6
+    - notebook==6.5.2
+    - notebook-shim==0.2.2
+    - numpy==1.23.3
+    - pandocfilters==1.5.0
+    - parso==0.8.3
+    - pexpect==4.8.0
+    - pickleshare==0.7.5
+    - platformdirs==2.5.4
+    - ply==3.11
+    - prometheus-client==0.15.0
+    - prompt-toolkit==3.0.33
+    - psutil==5.9.4
+    - ptyprocess==0.7.0
+    - pure-eval==0.2.2
+    - pycparser==2.21
+    - pygments==2.13.0
+    - pyhcl==0.4.4
+    - pyrsistent==0.19.2
+    - pytz==2022.6
+    - pyzmq==24.0.1
+    - requests==2.28.1
+    - scipy==1.9.1
+    - send2trash==1.8.0
+    - sniffio==1.3.0
+    - soupsieve==2.3.2.post1
+    - stack-data==0.6.1
+    - terminado==0.17.0
+    - tinycss2==1.2.1
+    - tomli==2.0.1
+    - traitlets==5.5.0
+    - urllib3==1.26.12
+    - wcwidth==0.2.5
+    - webencodings==0.5.1
+    - websocket-client==1.4.2
+prefix: /Users/victordachet/opt/miniconda3/envs/investment