OPEN

The framework combines distributed energy resource modelling (e.g. for PV generation sources, battery energy storage systems, electric vehicles), energy market modelling, power flow simulation and multi-period optimisation for scheduling flexible energy resources.
https://github.com/EPGOxford/OPEN

Category: Energy Systems
Sub Category: Renewable Energy Integration

Last synced: about 12 hours ago
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Repository metadata

Open Platform for Energy Networks

• Host: GitHub
• URL: https://github.com/EPGOxford/OPEN
• Owner: EPGOxford
• License: apache-2.0
• Created: 2019-12-02T18:54:17.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2021-04-18T18:12:33.000Z (about 4 years ago)
• Last Synced: 2025-04-20T09:02:45.648Z (8 days ago)
• Language: Python
• Size: 72.2 MB
• Stars: 62
• Watchers: 5
• Forks: 25
• Open Issues: 1
• Releases: 0

https://github.com/EPGOxford/OPEN/blob/master/

          # Open Platform for Energy Networks (OPEN)

## Overview

Oxford University's Energy and Power Group's Open Platform for Energy Networks (OPEN) provides a python toolset for modelling, simulation and optimisation of smart local energy systems.
The framework combines distributed energy resource modelling (e.g. for PV generation sources, battery energy storage systems, electric vehicles), energy market modelling, power flow simulation and multi-period optimisation for scheduling flexible energy resources.

OPEN and the methods used are presented in detail in the following publication:

T. Morstyn, K. Collett, A. Vijay, M. Deakin, S. Wheeler, S. M. Bhagavathy, F. Fele and M. D. McCulloch; *"An Open-Source Platform for Developing Smart Local Energy System Applications”*; University of Oxford Working Paper, 2019

## Documentation

The full OPEN documentation can be found [here](https://open-platform-for-energy-networks.readthedocs.io).

## Installation

Download OPEN source code.

If using conda, we suggest creating a new virtual environment from the requirements.txt file.
First, add the following channels to your conda distribution if not already present:

    conda config --add channels invenia
    conda config --add channels picos
    conda config --add channels conda-forge

To create the new virtual environment, run:

    conda create --name  --file requirements.txt python=3.6

## Getting started

The simplest way to start is to duplicate one of the case study main.py files:
- OxEMF_EV_case_study_v6.py
- Main_building_casestudy.py


## Contributors

* Thomas Morstyn
* Avinash Vijay
* Katherine Collet
* Filiberto Fele
* Matthew Deakin
* Sivapriya Mothilal Bhagavathy
* Scot Wheeler
* Malcolm McCulloch

        

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Owner metadata

• Name: Energy and Power Group
• Login: EPGOxford
• Email:
• Kind: organization
• Description: The Energy and Power Group (EPG), part of Engineering Science at University of Oxford
• Website: https://epg.eng.ox.ac.uk/
• Location: Oxford, UK
• Twitter: EPGOxford
• Company:
• Icon url: https://avatars.githubusercontent.com/u/54850669?v=4
• Repositories: 2
• Last ynced at: 2023-07-13T16:33:15.763Z
• Profile URL: https://github.com/EPGOxford

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GitHub Events

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• Watch event: 4
• Fork event: 1

Last Year

• Watch event: 4
• Fork event: 1

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Committers metadata

Last synced: 7 days ago

Name	Email	Commits
scotwheeler	s****r@e****k	5
tmorstyn	4****n	1

Committer domains:

• eng.ox.ac.uk: 1

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Issue and Pull Request metadata

Last synced: 1 day ago

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/EPGOxford/OPEN

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Score: 4.836281906951478