Metadata-Version: 2.1
Name: FLORIS
Version: 1.1.6
Summary: A controls-oriented engineering wake model.
Home-page: https://github.com/NREL/FLORIS
Author: NREL National Wind Technology Center
Author-email: rafael.mudafort@nrel.gov
License: Apache-2.0
Description: 
        FLORIS Wake Modeling Utility
        ----------------------------
        
        **Further documentation is available at http://floris.readthedocs.io/.**
        
        For technical questions regarding FLORIS usage please first search for or post
        your questions to
        `stackoverflow <https://stackoverflow.com/questions/tagged/floris>`_ using
        the **floris** tag. Alternatively, please contact
        `Jen King <mailto:jennifer.king@nrel.gov>`_,
        `Paul Fleming <mailto:paul.fleming@nrel.gov>`_,
        `Chris Bay <mailto:chris.bay@nrel.gov>`_, and
        `Rafael Mudafort <mailto:rafael.mudafort@nrel.gov>`_.
        
        Background and Objectives
        =========================
        This FLORIS framework is designed to provide a computationally inexpensive,
        controls-oriented modeling tool of the steady-state wake characteristics in
        a wind farm. The wake models implemented in this version of FLORIS are:
        
        - Jensen model for velocity deficit
        - Jimenez model for wake deflection
        - Gauss model for wake deflection and velocity deficit
        - Multi zone model for wake deflection and velocity deficit
        - Curl  model for wake deflection and velocity deficit
        
        More information on all of these models can be found in the
        `theory <https://floris.readthedocs.io/en/develop/source/theory.html>`_
        section of the online documentation.
        
        A couple of publications with practical information on using floris as a
        modeling and simulation tool for controls research are
        
        1. Annoni, J., Fleming, P., Scholbrock, A., Roadman, J., Dana, S., Adcock, C.,
           Porté-Agel, F, Raach, S., Haizmann, F., and Schlipf, D.: `Analysis of
           control-oriented wake modeling tools using lidar field results <https://www.wind-energ-sci.net/3/819/2018/>`__,
           in: Wind Energy Science, vol. 3, pp. 819-831, Copernicus Publications,
           2018.
        2. Bay, C.J., King, J., Fleming, P., Mudafort, R., and Martínez-Tossas, L.A.:
           `Unlocking the Full Potential of Wake Steering: Implementation and
           Assessment of a Controls-Oriented Model <https://www.wind-energ-sci-discuss.net/wes-2019-19/>`__,
           submitted to Wind Energy Science Discussions, Copernicus Publications,
           2019.
        
        Citation
        ========
        
        .. image:: https://zenodo.org/badge/178914781.svg
          :target: https://zenodo.org/badge/latestdoi/178914781
        
        If FLORIS played a role in your research, please cite it. This software can be
        cited as:
        
           FLORIS. Version 1.1.5 (2019). Available at https://github.com/nrel/floris.
        
        For LaTeX users:
        
        .. code-block:: latex
        
            @misc{FLORIS_2019,
            author = {NREL},
            title = {{FLORIS. Version 1.1.5}},
            year = {2019},
            publisher = {GitHub},
            journal = {GitHub repository},
            url = {https://github.com/NREL/floris}
            }
        
        .. _installation:
        
        Installation
        ============
        Using ``pip``, FLORIS can be installed in two ways
        
        - local editable install
        
        - using a tagged release version from the ``pip`` repo
        
        For consistency between all developers, it is recommended to use Python
        virtual environments;
        `this link <https://realpython.com/blog/python/python-virtual-environments-a-primer/>`_
        provides a great introduction. Using virtual environments in a Jupyter Notebook
        is described `here <https://help.pythonanywhere.com/pages/IPythonNotebookVirtualenvs/>`_.
        
        Local Editable Installation
        ~~~~~~~~~~~~~~~~~~~~~~~~~~~
        The local editable installation allows developers to maintain an importable
        instance of FLORIS while continuing to extend it. The alternative is to
        constantly update python paths within the package to match the local
        environment.
        
        Before doing the local install, the source code repository must be cloned
        directly from GitHub:
        
        .. code-block:: bash
        
            git clone https://github.com/nrel/floris
        
        Then, using the local editable installation is as simple as running the
        following command from the parent directory of the
        cloned repository:
        
        .. code-block:: bash
        
            pip install -e floris
        
        Finally, test the installation by starting a python terminal and importing
        FLORIS:
        
        .. code-block:: bash
        
            import floris
        
        pip Repo Installation
        ~~~~~~~~~~~~~~~~~~~~~
        The FLORIS version available through the pip repository is typically the latest
        tagged and released major version. This version represents the most recent
        stable, tested, and validated code.
        
        In this case, there is no need to download the source code directly. FLORIS
        and its dependencies can be installed with:
        
        .. code-block:: bash
        
            pip install floris
        
        Dependencies
        ============
        FLORIS has dependencies on various math, statistics, and plotting libraries in
        addition to other general purpose packages. For the simulation and tool
        modules, the dependencies are listed in ``floris/requirements.txt``. The
        documentation has additional requirements listed in
        ``floris/docs/requirements.txt``.
        
        The requirements files can be used to install everything with:
        
        .. code-block:: bash
        
            pip install -r requirements.txt
        
        License
        =======
        
        Copyright 2019 NREL
        
        Licensed under the Apache License, Version 2.0 (the "License");
        you may not use this file except in compliance with the License.
        You may obtain a copy of the License at
        
           http://www.apache.org/licenses/LICENSE-2.0
        
        Unless required by applicable law or agreed to in writing, software
        distributed under the License is distributed on an "AS IS" BASIS,
        WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
        See the License for the specific language governing permissions and
        limitations under the License.
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=3.3.0
Description-Content-Type: text/markdown
Provides-Extra: docs
