Metadata-Version: 2.4
Name: mosaik-pv
Version: 1.2.2
Summary: PV Simulator for Mosaik
License-Expression: CC-BY-3.0
License-File: AUTHORS.rst
License-File: LICENSE.txt
Author: Cornelius Steinbrink
Author-email: mosaik@offis.de
Requires-Python: >=3.9
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Requires-Dist: arrow (>=1.3.0)
Requires-Dist: mosaik-api-v3 (>=3.0.7)
Requires-Dist: numpy (>=1.26.1)
Requires-Dist: tqdm (>=4.66.1)
Description-Content-Type: text/x-rst

==========
mosaik-pv
==========

This component was initially created by Cornelius Steinbrink based on PyPVSim by Daniel Soto, which is licensed under `CC-BY 3.0 <https://github.com/dsoto/PyPVSim/blob/master/LICENSE.txt>`_).
It was further extended by Thomas Raub and updated by Jan Sören Schwarz and Danila Valko.

The PV system simulator calculates active power output based on the Direct Normal Irradiance (DNI, [W/m2]) input and current time (hourly).

PV system output data:

* P[MW] - active power produced

PV system input data:

* DNI[W/m2] - Direct Normal Irradiance 
* scale_factor - multiplies output [coef], might be used as a contol signal

Configuration:

* latitude [grad]
* area - insolated panels area [m2]
* efficiency [coef]
* el_tilt - elevation [grad]
* az_tilt - azimuth [grad]

An example scenario is located in the ´demo´ folder.

Other options
=============
Please pay attention to the input data. If you want to use only Direct Normal Irradiance input data as part of the co-simulation, 
then *mosaik-pv* is suitable, if you want to use full weather information (global irradiance, wind speed, air temperature and pressure) then *mosaik-pvlib* is suitable. 
If you are satisfied with historical performance estimates for a particular location or have no other input data, 
then *mosaik-pvgis* is the best solution which is based on PVGIS performance data.

Installation
=============

::

    pip install mosaik-pv



If you don't want to install this through PyPI, you can use pip to install the requirements.txt file::

    pip install -r requirements.txt

* To use this, you have to install at least version 3.2.0 of `mosaik <https://mosaik.offis.de/>`_.
* It is recommended, to use the *mosaik-csv* library to properly import DNI data.

How to Use
=============
Specify simulators configurations within your scenario script::

    LAT = 32.0
    AREA = 1
    EFF = 0.5
    EL = 32.0
    AZ = 0.0
    START = "2014-01-01 01:00:00"
    END = 3600 * 24
    STEP_SIZE = 60 * 60
    DNI_DATA = "solar_data.csv"


    SIM_CONFIG = {
        'DNISim': {
            'python': 'mosaik_csv:CSV'
        },  
        'PVSim': {
            'python': 'mosaik_components.pv.pvsimulator:PVSimulator'
        },
        ...
    }

Initialize the PV- and DNI-simulator::

    # Create DNI simulator
    DNI_sim = world.start("DNISim", 
                        sim_start=START, 
                        datafile=DNI_DATA)
    
    # Create PV system with certain configuration
    pv_sim = world.start(
                        "PVSim",
                        start_date=START,
                        step_size=STEP_SIZE)


Instantiate model entities::

    DNI_model = DNI_sim.DNI.create(1)

    pv_model = pv_sim.PV.create(1, latitude=LAT, area=AREA,
                            efficiency=EFF, el_tilt=EL, az_tilt=AZ)

Connect DNI input with PV-simulator::

    world.connect(
                        DNI_model[0],
                        pv_model[0],
                        ("DNI", "DNI[W/m2]"),
                    )

CSV-Formatting
==============

For the simulator to work correctly, both .csv files have to be specifically formatted!

DNI-data
---------
The meteo_data.csv is formatted accordingly to the conventions of the `mosaik_csv <https://gitlab.com/mosaik/components/data/mosaik-csv>`_ simulator::

    Wind
    Date,wind_speed
    YYYY-MM-DD HH:mm:ss,v1
    YYYY-MM-DD HH:mm:ss,v2
    ...
    DNI
    Time,DNI
    YYYY-MM-DD HH:mm:ss,2.1,92.0,0.0,0.0

* Each entry in the .csv needs a Date in the YYYY-MM-DD HH:mm:ss format and a set of values.

Changelog
=========

1.2.2 - 2025-10-13
------------------

- Removed direct dependency on mosaik; only mosaik_api_v3 is required directly.

1.2.1 - 2024-03-06
------------------

- Minor changes: scipy dependance was removed

1.2 - 2024-02-13
------------------

- Naming convention fixed
- Minor changes

1.1 - 2024-01-11
------------------

- Restructured as a mosaik component
- Active power output in [MW]
- scale_factor added as input
- Readme and examples added

1.0 - 2023-05-10
------------------

- Initial release of version implemented by Cornelius Steinbrink

Authors
=======

The adapter was initially developed by Cornelius Steinbrink based on solution by Daniel Soto, extended by Thomas Raub and updated by Jan Sören Schwarz and Danila Valko.

