midas-comdata 2.1.0

A Midas module for commercial buildings datasets.

Midas Commercial Data Simulator

The comdata module, provided by the midas-comdata package, provides a simulator for a commercial building reference data set.

Version: 2.1

Usage

The intended use-case for the time simulator is to be used inside of midas. However, it can be used in any mosaik simulation scenario.

Inside of midas

To use the store inside of midas, add comdata to your modules

    my_scenario:
      modules:
        - comdata
        # - ...

and provide a scope and a configuration:

    my_scenario:
      # ...
      comdata_params:
        my_grid_scope:
          interpolate: True
          randomize_data: True
          randomize_cos_phi: True
          mapping:
            22: [[Hospital, 0.002]] # industrial subgrid
            35: [[StripMall, 0.015]]

The number 22, 35 stands for the bus number, which depends on the grid.

Any mosaik scenario

If you don't use midas, you can add the comdata manually to your mosaik scenario file. First, the entry in the sim_config:

  sim_config = {
      "CommercialDataSimulator": {
        "python": "midas_powerseries.simulator:PowerSeriesSimulator"
      },
      # ...
  }

Next, you need to start the simulator (assuming a step_size of 900):

    comdata_sim = world.start(
        "CommercialDataSimulator",
        step_size=900,
        data_step_size=3600,
        start_date="2020-01-01 00:00:00+0100",
        data_path="/path/to/folder/where/dataset/is/located/",
        filename="commercial_profiles.csv",  # this is default
    )

Then the models can be started:

    hospital = comdata_sim.CalculatedQTimeSeries(name="Hospital", scaling=0.002)
    strip_mall = comdata_sim.CalculatedQTimeSeries(name="StripMall", scaling=0.015)

Finally, the modells need to be connected to other entities:

    world.connect(hospital, other_entity, "p_mw", "q_mvar")

License

The data set ist taken from the project Oben Energy Data Initiative.