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PyZefir
Pyzefir is used to build and configure a specific class of mathematical optimization models that represent a given energy system. This System is clearly defined by identifying sources, transmission infrastructure and energy customers. The processes provided in the model are the acquisition, transfer and processing of various types of energy to meet the needs of consumers.
In the model, we distinguish between the supply side (energy sources) and the demand side (energy consumers). The key relationship that must occur in the model is the balance relation, which assumes that in each analyzed hour the volume of energy supplied to customers is equal to their energy demand.
The tool aims to find the solution of the optimization by determining how – with the given scenario assumptions – the technological structure of the given energy system will change over the next years. Subjects to optimize are the total cost of maintenance (operating costs), modernization (investment costs) and operation (variable costs) of a given energy system.
The elements of the energy system represented in the tool are energy carriers, energy sources, energy storage facilities, transmission infrastructure elements and energy consumers.
Pyzefir module
Install repository from global pip index
pip install pyzefir
Make setup
Check if make is already installed
make --version
If not, install make
sudo apt install make
Make stages
Install virtual environment and all dependencies
make install
If you are developing pyZefir it is recommended to use editable mode.
make install EDITABLE=yes
which allows you to install a package in such a way that any changes made to the source code are immediately reflected in the installed package without the need to reinstall it.
Run linters check (black, pylama)
make lint
Run unit and fast integration tests (runs lint stage before)
Make unit
Run integration tests (runs lint and unit stages before)
make test
Remove temporary files such as .venv, .mypy_cache, .pytest_cache etc.
make clean
Creating project environment
You can create virtual environment using make:
make install
or manually:
# Create and source virtual Environment
python -m venv .venv
source .venv/bin/active
# Install all requirements and dependencies
pip install .
pip install .[dev]
# Init pre-commit hook
pre-commit install
Preparation of input data
Run input structure creator
structure-creator --help
Usage: structure-creator [OPTIONS]
Options:
-i, --input_path PATH Input data for the creator. [required]
-o, --output_path PATH Path to dump the results. [required]
-s, --scenario_name TEXT Name of the scenario. [required]
-h, --n_hours INTEGER N_HOURS constant.
-y, --n_years INTEGER N_YEARS constant.
--help Show this message and exit.
E.g.
structure-creator -i pyzefir\resources\structure_creator_resources -o pyzefir\results -s base_scenario -h 8760 -y 20
How structure creator resources directory must look like:
.
└── structure_creator_resources/
├── lbs/
│ ├── boiler_coal_new_lkt.xlsx
│ ├── boiler_gas_lkt.xlsx
│ └── ...
├── scenarios/
│ └── base_scenario/
│ ├── fractions/
│ │ ├── boiler_coal_new_lkt.xlsx
│ │ ├── boiler_gas_lkt.xlsx
│ │ └── ...
│ ├── cost_parameters.xlsx
│ ├── fuel_parameters.xlsx
│ ├── generation_fraction.xlsx
│ ├── n_consumers.xlsx
│ ├── relative_emission_limits.xlsx
│ ├── technology_cap_limits.xlsx
│ ├── technology_type_cap_limits.xlsx
│ └── yearly_demand.xlsx
├── aggregates.xlsx
├── configuration.xlsx
├── emissions.xlsx
├── subsystems.xlsx
└── transmission_fees.xlsx
Simulation run
- Prepare
config.ini
file (look atconfig_example.ini
file in project directory)
:information_source: The section create
of config.ini
file is used for structure creator
only, so if you're not going
to use structure-creator
do not add the section.
- Run
pyzefir
pyzefir --help
Usage: pyzefir [OPTIONS]
Options:
-c, --config PATH Path to *.ini file. [required]
--help Show this message and exit.
E.g.
pyzefir -c pyzefir/config_basic.ini
How pyzefir resources directory must look like:
XLSX input
.
└── /pyzefir resources/
├── /scenarios/
│ ├── scenario_1.xlsx
│ ├── scenario_2.xlsx
│ └── ...
├── capacity_factors.xlsx
├── conversion_rate.xlsx
├── demand_chunks.xlsx
├── fuels.xlsx
├── generator_types.xlsx
├── initial_state.xlsx
├── storage_types.xlsx
└── structure.xlsx
CSV input
.
└── /pyzefir resources/
├── /capacity_factors/
│ └── Profiles.csv
├── /conversion_rate/
│ ├── HEAT_PUMP.csv
│ ├── BOILER_COAL.csv
│ └── ...
├── /demand_chunks/
│ ├── Demand_Chunks.csv
│ ├── chunk_period_1.csv
│ ├── chunk_period_2.csv
│ └── ...
├── /demand_types/
│ ├── family.csv
│ ├── multifamily.csv
│ └── ...
├── /fuels/
│ ├── Emission_Per_Unit.csv
│ └── Energy_Per_Unit.csv
├── /generator_types/
│ ├── Efficiency.csv
│ ├── Emission_Reduction.csv
│ ├── Generator_Type_Energy_Carrier.csv
│ ├── Generator_Type_Energy_Type.csv
│ ├── Generator_Types.csv
│ └── Power_Utilization.csv
├── /initial_state/
│ ├── Technology.csv
│ └── TechnologyStack.csv
├── /storage_types/
│ └── Parameters.csv
├── /structure/
│ ├── Aggregates.csv
│ ├── Buses.csv
│ ├── DSR.csv
│ ├── Emission_Fees_Emission_Types.csv
│ ├── Emission_Types.csv
│ ├── Energy_Types.csv
│ ├── Generator_Binding.csv
│ ├── Generator_Emission_Fees.csv
│ ├── Generators.csv
│ ├── Lines.csv
│ ├── Power_Reserve.csv
│ ├── Storages.csv
│ ├── Technology_Bus.csv
│ ├── TechnologyStack_Aggregate.csv
│ ├── TechnologyStack_Buses_out.csv
│ ├── TechnologyStack_Buses.csv
│ └── Transmission_Fees.csv
└── /scenario/
├── /scenario_name/
│ ├── Constants.csv
│ ├── Cost_Parameters.csv
│ ├── Curtailment_Cost.csv
│ ├── Element_Energy_Evolution_Limits.csv
│ ├── Emission_Fees.csv
│ ├── Energy_Source_Evolution_Limits.csv
│ ├── Fractions.csv
│ ├── Fuel_Availability.csv
│ ├── Fuel_Prices.csv
│ ├── Generation_Fraction.csv
│ ├── N_Consumers.csv
│ ├── Relative_Emission_Limits.csv
│ └── Yearly_Demand.csv
└── /another_scenario_name/
└── ....
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