Metadata-Version: 2.1
Name: hotmapsDispatch
Version: 0.0.1
Summary: A web user interface for energy system modelling
Home-page: https://github.com/tuw-eeg/hotmapsDispatch/tree/dev
Author: Michal Hartner, Richard Büchele, David Schmidinger, Michael Gumhalter, Jeton Hasani
Author-email: hasani@eeg.tuwien.ac.at
License: Apache 2.0
Description: [![](https://img.shields.io/badge/conda-v0.0-red)](https://gitter.im/)
        [![](https://img.shields.io/badge/documentation-v0.0-red)](https://readthedocs.io/)
        
        ---
        # HotMaps Dispatch Model
        
        <img src="https://github.com/HotMaps/hotmaps_wiki/blob/master/Images/dh_supply/concept.png?raw=true" width="364">
        
        *A web user interface for energy systems modelling* | [GitHub](https://github.com/tuw-eeg/hotmapsDispatch/tree/dev)
        
        ---
        
        ## Content
        
        * [About](#about)
        * [How to install](#how-to-install)
        * [Quick start](#quick-start)
        * [Documentation](#documentation)
        * [Contributing](#contributing)
        * [What's new](#whats-new)
        * [Citing](#citing)
        * [License](#license)
        * [Remove/Uninstall](#removeuninstall)
        * [Attribution](#attribution)
        ---
        
        ## About
        
        The HotMaps Dispatch Model is a web user interface to develop energy system models.
        It is based on [Pyomo](https://pyomo.readthedocs.io/en/stable/) for modeling and [bokeh](https://docs.bokeh.org/en/0.12.0/index.html) for visualization and interaction. 
        The primary focus is flexible model creation with/and without the web user interface, and a high temporal resolution (hourly based) for the optimization. It has also the ability to execute and create many scenarios.  
        
        A model can be fully defined by the web user interaface, with financal and technical details on technologies, demand,electricity,temperature and radiation profiles. You can also define and upload your own data. The Hotmaps Disptach Model takes these inputs and constructs an optimization problem, solves it, and reports back the results. The results are saved as HTML (for visialisation), JSON and EXCEL Files and can be further analyzed.
        
        ## How to install
        
        ### How to install 1 (easy)
        1. install [miniconda](https://docs.conda.io/en/latest/miniconda.html)
        
        2. open the conda prompt and type following comands 
        
            a. `conda create -n hotmapsDispatch python=3.6` 
            
            b. `conda activate hotmapsDispatch`
            
            c. `conda install nodejs`
            
            c. `pip install hotmapsDispatch`
            
            d. `hotmapsDispatch_console`
            
        After that your default browser should open and the web user interface will show up    
        
        ### How to install 2 (advanced)
        1. install [miniconda](https://docs.conda.io/en/latest/miniconda.html)
        
        2. Download this [repository](https://github.com/tuw-eeg/hotmapsDispatch/archive/dev.zip) and save and unzip the content into your desired loacation
        
        2. open the conda prompt in that location and type following comands 
        
            a. `conda env create -f environment.yml` 
            
            b. `conda activate hotmapsDispatch`
            
            c. `cd app/modules/common/FEAT/F16`
        
            d. ``python F16_server.py``
        
        After that your default browser should open and the web user interface will show up
        
        ### Hot to install 3 (easy)
        > **Not implemented todo**
        
        The Hotmaps Dispatch Model can run on Windows, macOS and Linux. 
        
        Installing it is quickest with the `conda` package manager by running a single command: `conda create -c conda-forge -n  python=3.6 hotmapsDispatch`  
        
        ## Quick start 
         
        See the documentation for more [information on installing](#how-to-install).
        
        and also some example are [included]()
        
        The [Getting Started Guide](https://hotmapsdispatch.readthedocs.io/en/latest/) is a good place to start and to get a feeling how the model works.
        
        After installation open the conda prompt and activate your environment `conda activate hotmapsDispatch`
        
        Then you can start the application by typing `hotmapsDispatch_console`. This will open your default browser and also show you progress messages in the prompt
        
        If you type only `hotmapsDispatch` no prompt messages will be shown and you have to close the process after fininshing, since closing the tab will not shut down the process 
        
        ## Documentation
        
        > **Not implemented todo**
        
        Documentation is available on Read the Docs:
        
        * [Read the documentation online (recommended)](https://hotmapsdispatch.readthedocs.io/en/latest/)
        * [Download all documentation in a single PDF file](https://hotmapsdispatch.readthedocs.io/en/latest/)
        
        ## Contributing
        
        > **Not implemented todo**
        
        To contribute changes:
        
        1. Fork the project on GitHub
        2. Create a feature branch to work on in your fork (`git checkout -b new-feature`)
        3. Add your name to the AUTHORS file
        4. Commit your changes to the feature branch
        5. Push the branch to GitHub (`git push origin my-new-feature`)
        6. On GitHub, create a new pull request from the feature branch
        
        See our [contribution guidelines](https://github.com/tuw-eeg/hotmapsDispatch/blob/dev/CONTRIBUTING.md) for more information -- and [join us on Gitter](https://gitter.im/tuw-eeg/hotmapsDisptach) to ask questions or discuss code.
        
        ## What's new
        
        > **Not implemented todo**
        
        See changes made in recent versions in the [changelog](https://github.com/tuw-eeg/hotmapsDispatch/blob/dev/changelog.md).
        
        ## Citing
        > **Not implemented todo**
        
        If you use ``HotMaps Disptach`` for academic work please cite:
        
        Autor Name. HotMaps Disptach: a web user interface for energy systems modelling. *Reference. [doi](https://doi.org/)*
        
        ## License
        
        Copyright 2019 HotMaps Disptach contributors:
        * Michael Hartner
        * Richard BÃ¼chele
        * David Schmidinger
        * Michael Gumhalter
        * Jeton Hasani
        
        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.
        
        
        ## Remove/Uninstall
        
        open the conda prompt and enter following comand:
        
        `conda remove --name hotmapsDispatch --all `
        
        
        ## Attribution
        
        The layout and content of this document is partially based on the [calliope-project](https://github.com/calliope-project/calliope/blob/master/README.md).
        
Keywords: energy systems,optimisation,mathematical programming,web user innterfaace
Platform: UNKNOWN
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
