Multi-vector Simulation Tool assessing and optimizing Local Energy Systems (LES) for the E-LAND project
Project description
MVS - Multi-Vector Simulator of the E-Land toolbox
Rights: Reiner Lemoine Institut (Berlin)
The multi-vector simulator (MVS) allows the evaluation of local sector-coupled energy systems that include the energy carriers electricity, heat and/or gas. The MVS has three main features:
- Analysis of an energy system model, which can be defined from csv or json files, including its costs and performance parameters.
- Near-future investments into power generation and storage assets can be optimized aiming at least-cost supply of electricity and heat.
- Future energy supply scenarios that integrate emerging technologies helping to meet sustainability goals and decrease adverse climate effects can be evaluated, e.g. through high renewable energy shares or sector-coupling technologies.
The tool is being developed within the scope of the H2020 project E-LAND (Integrated multi-vector management system for Energy isLANDs, project homepage HERE). A graphical user interface for the MVS will be integrated.
Latest release Check the latest release. Please check the CHANGELOG.md for past updates and changes.
Disclaimer As the MVS is still under development, changes might still occur in the code as well as code structure. If you want to try the MVS, please make sure to check this project regularly.
For advanced programmers: You can also use the dev
branch that includes the latest updates and
changes. You find the changelog HERE.
Getting started
If you are interested to try out the code, please feel free to do so! In case that you are planning to use it for a specific or a larger-scale project, we would be very happy if you would get in contact with us, eg. via issue. Maybe you have ideas that can help the MVS move forward? Maybe you noticed a bug that we can resolve?
We are still working on including a readthedocs for the MVS. Some information on this tool and code is already available here (stable version, latest developments here).
Setup and installation
To set up the MVS, follow the steps below:
-
If python3 is not pre-installed: Install miniconda (for python 3.7: https://docs.conda.io/en/latest/miniconda.html)
-
Clone or download the latest MVS release
git clone https://github.com/rl-institut/multi-vector-simulator.git
and move to the
multi-vector-simulator
folder -
Download the cbc-solver into your system from https://ampl.com/dl/open/cbc/ and integrate it in your system, ie. unzip, place into chosen path, add path to your system variables (Windows: “System Properties” -->”Advanced”--> “Environment Variables”, requires admin-rights).
You can also follow the steps from the oemof setup instructions
-
Open Anaconda prompt (or other software as Pycharm) to create and activate a virtual environment
conda create -n [your_env_name] python=3.6
activate [your env_name]
-
Install required packages from requirements.txt file using pip
pip install -r requirements/default.txt
-
Test if that the cbc solver is properly installed by typing
oemof_installation_test
You should at least get a confirmation that the cbc solver is working
***************************** Solver installed with oemof: cbc: working glpk: not working gurobi: not working cplex: not working ***************************** oemof successfully installed. *****************************
-
Install the multi-vector-simulator package locally
python setup.py install
-
Test if the MVS is running by executing
python mvs_tool.py -i tests/inputs
-
You can also run all existing tests by executing
pip install -r requirements/test.txt
pytest tests/
Using the MVS
To run the MVS with custom inputs you have several options:
0) Use the default settings
If you create a folder named inputs
at the root of the repository (you can use the folder
input_template
for inspiration) it will be taken as default input folder and you can simply run
`python mvs_tool.py`
A default output folder will be created, if you run the same simulation several time you would have to either overwrite the existing output file with
`python mvs_tool.py -f`
Or provide another output folder's path
python mvs_tool.py -o <path_to_other_output_folder>
1) Use the command line
Edit the json input file (or csv files) and run
python mvs_tool.py -i path_input_folder -ext json -o path_output_folder
With
path_input_folder
: path to folder with input data,
ext
: json for using a json file and csv for using csv files
and path_output_folder
: path of the folder where simulation results should be stored.
For more information about the possible command lines
python mvs_tool.py -h
2) Use the main()
function
Edit the csv files (or, for devs, the json file) and run the main()
function. The following kwargs
are possible:
overwrite
(bool): Determines whether to replace existing results inpath_output_folder
with the results of the current simulation (True) or not (False). Default:False
.input_type
(str): Defines whether the input is taken from themvs_config.json
file ("json") or from csv files ('csv') located within <path_input_folder>/csv_elements/. Default:json
.path_input_folder
(str): The path to the directory where the input CSVs/JSON files are located. Default:inputs/
.path_output_folder
(str): The path to the directory where the results of the simulation such as the plots, time series, results JSON files are saved by MVS E-Lands. Default:MVS_outputs/
.display_output
(str): Sets the level of displayed logging messages. Options: "debug", "info", "warning", "error". Default: "info".lp_file_output
(bool): Specifies whether linear equation system generated is saved as lp file. Default: False.
Generate pdf report
directly after running a simulation
Use the option -pdf
in the command line python mvs_tool.py
to generate a pdf report in the
simulation's output folder (default in MVS_outputs/simulation_report.pdf
):
python mvs_tool.py -pdf
post-processing
To generate a report of the simulation's results, run the following command after a simulation generated an output folder:
python mvs_report.py
the report should appear in your browser (at http://127.0.0.1:8050) as an interactive Plotly Dash app.
You can then print the report via your browser print functionality (ctrl+p), however the layout of the pdf report is only well optimized for chrome or chromimum browser.
It is also possible to automatically save the report as pdf by using the option -pdf
. By default
, it will
save the report in the report
folder. Seepython mvs_report.py -h
for more information about
possible options. The css and images used to make the report pretty should be located under
report/assets
.
Contributing
If you want to contribute to this project, please read CONTRIBUTING.md. For less experienced github users we propose a workflow HERE.
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