eGo Framework

[Ludee]

Name

eGo Framework

Screenshots

Focus Topic

Open source framework for cross-grid-level electricity grid and storage optimization

Primary Purpose

Integrated optimization of flexibility options and grid extension measures for power grids

Description

The python package eGo is a toolbox and also an application which combines eTraGo - a tool for optimizing flexibility options for transmission grids based on PyPSA and eDisGo - a toolbox in itself capable of analyzing distribution grids for grid issues and evaluating measures responding these.

Mathematical Description

No response

Website

https://openegoproject.wordpress.com/

Documentation

https://openego.readthedocs.io/en/dev/welcome.html

Source

https://github.com/openego

Year

2018

Institution

Reiner Lemoine Institut

Funding Source

BMWK

Publications

10

Publication List

https://openegoproject.wordpress.com/publications/

Use Cases

Uniform grid planning is required for a successful energy transition. This involves the management of the German electricity grid with more than 800 different network operators and the resulting wide range of interests that sometimes stand at odds with the national economic objectives of the energy transition. However, there is currently no suitable grid planning tool that is able to consider optimum national economic use of the various flexibility options at the different levels. The current challenges of planning for grid expansion associated with the energy transition are answered by open_eGo.

Infrastructure Sector

• Atmospheric dispersion
• Agriculture
• Biomass
• Buildings
• Communications
• Cooling
• Ecosystems
• Electric
• District heating
• Forestry
• Health
• Hydrogen
• Individual heating
• Land use
• Liquid fuels
• Natural Gas
• Transportation
• Water

Represented Behavior

• Earth Systems
• Employment
• Built Infrastructure
• Financial
• Macro-economy
• Micro-economy
• Policy
• Social

Modeling Paradigm

• Analytics
• Data
• Discrete Simulation
• Dynamic Simulation
• Equilibrium
• Engineering/Design
• Optimization
• Visualization

Capabilities

No response

Programming Language

• C – ISO/IEC 9899
• C++ (C plus plus) – ISO/IEC 14882
• C# (C sharp) – ISO/IEC 23270
• Delphi
• GAMS (General Algebraic Modeling System)
• Go
• Haskell
• Java
• JavaScript(Scripting language)
• Julia
• Kotlin
• LabVIEW
• Lua
• MATLAB
• Modelica
• Nim
• Object Pascal
• Octave
• Pascal Script
• Python
• R
• Rust
• Simulink
• Swift (Apple programming language)
• WebAssembly
• Zig

Required Dependencies

No response

What is the software tool's license?

GNU Affero General Public License version 3 (AGPL-3.0)

Operating System Support

• Windows
• Mac OSX
• Linux
• iOS
• Android

User Interface

• Programmatic
• Command line
• Web based
• Graphical user
• Menu driven
• Form based
• Natural language

Parallel Computing Paradigm

• Multi-threaded computing
• Multi-core computing
• Distributed computing
• Cluster computing
• Massively parallel computing
• Grid computing
• Reconfigurable computing with field-programmable gate arrays (FPGA)
• General-purpose computing on graphics processing units
• Application-specific integrated circuits
• Vector processors

What is the highest temporal resolution supported by the tool?

Minutes

What is the typical temporal resolution supported by the tool?

Hours

What is the largest temporal scope supported by the tool?

Years

What is the typical temporal scope supported by the tool?

Hours

What is the highest spatial resolution supported by the tool?

Facility

What is the typical spatial resolution supported by the tool?

Municipality

What is the largest spatial scope supported by the tool?

Country

What is the typical spatial scope supported by the tool?

Municipality

Input Data Format

CSV

Input Data Description

No response

Output Data Format

CSV

Output Data Description

No response

Contact Details

ludwig.huelk@rl-institut.de

Interface, Integration, and Linkage

No response

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