update installation

README.md

@@ -21,28 +21,26 @@ src: python sources
 # Installation
 The following steps are recommended to install the energy-system-planning-workshop on a Windows PC.
 
-1.	Download and install Anaconda Navigator: https://www.anaconda.com/products/individual
-2.	Open Anaconda Navigator
-3.	Create new environment for python 3.7
-4.	Activate your environment
-5.	Open Terminal in your environment
-6.	Download energy-system-planning-workshop (Planspiel) from this repository and store all files with the given folder structure on your harddrive in a defined project-folder
-7.	In Terminal Window: Navigate to the project-folder
-8.	Install all required packages using the command “pip install –r requirements.txt”
-9.	Download and install Solver 'cbc' für Python 3.7: https://oemof-solph.readthedocs.io/en/latest/readme.html#installing-a-solver
+1.	Download and install Miniconda: https://docs.anaconda.com/miniconda/miniconda-install/
+2.	Download energy-system-planning-workshop (Planspiel) from this Github-repository and store all files with the given folder structure on your harddrive in a defined project-folder
+3.	Open a Miniconda Terminal Window and navigate to the projekt-folder
+4.	Create a new environment ("planspiel") for python 3.8 with the command: conda create -n "planspiel" python=3.8
+5.	Activate the environment with the command: conda activate planspiel
+6.	Install all required packages using the command: pip install –r requirements.txt
+7.	Download and install Solver 'cbc' für Python 3.8: https://oemof-solph.readthedocs.io/en/latest/readme.html#installing-a-solver
+
 
 # Operation
 The following steps are recommended to run the energy-system-planning-workshop on a Windows PC.
 
 1.	Define calculation setup in the file “config.yml” in the folder “experiment_config” using a standard editor.
 2.	Define boundary conditions for the optimization by adapting data in file “parameters_Team_XX” (XX for Team numbers 01-08) in folder “data”.
-3.	Open Anaconda Navigator
-4.	Activate environment which was created in the installation process
-5.	Open Terminal in this environment
-6.	Navigate to folder src in the Terminal Window
-7.	Start optimization in Terminal Window with: “python main.py”
-8.	Wait computation to finish in Terminal Window
-9.	Analyse results in folder “results”
+3.	Open a Miniconda Terminal Window and navigate to the projekt-folder (defined in the installation process)
+4.	Activate the environment which was created in the installation process with the command: conda activate planspiel
+5.	Navigate in the Terminal Window to the folder "src" 
+6.	Start optimization in Terminal Window with: “python main.py”
+7.	Wait computation to finish in Terminal Window
+8.	Find and analyse results in folder “results”
 
 # Contact
 christoph.pels-leusden(at)bht-berlin.de

requirements.txt

@@ -1,18 +1,18 @@
 appdirs==1.4.4
-blinker==1.4
+blinker==1.8.2
 decorator==5.1.0
-dill==0.3.4
+dill==0.3.8
 matplotlib==3.1.2
-networkx==2.5
+networkx==3.1
 nose==1.3.7
-numpy==1.21.2
-oemof.solph==0.4.4
-oemof.tools==0.4.1
-pandas==1.3.3
+numpy==1.24.4
+oemof.solph==0.5.5
+oemof.tools==0.4.3
+pandas==2.0.3
 ply==3.11
-Pyomo==5.7.2
-python-dateutil==2.8.2
-pytz==2021.3
+Pyomo==6.8.0
+python-dateutil==2.9.0post0
+pytz==2024.1
 PyUtilib==6.0.0
 PyYAML==5.4.1
 six==1.16.0