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1-12 of 35

REMix

REMix is a powerful software for energy systems optimization. It can be used for the planning and techno-economical assessment of future multi-energy systems of any spatial, temporal and technological scope. REMix offers a wide range of methods and features that can be flexibly selected by the user.

Energy
Energy planning
ESD
+ 5

GAMS
Python
Dockerfile

1678

ETHOS.FINE - Framework for Integrated Energy System Assessment

ETHOS.FINE provides a framework for modeling, optimizing and assessing energy systems. Systems with multiple regions, commodities and time steps can be modeled. Target of the optimization is the minimization of the total annual cost while considering technical and environmental constraints.

Energy
Energy planning
ESD
+ 6

Python
Dockerfile

875

AMIRIS

AMIRIS is the open Agent-based Market model for the Investigation of Renewable and Integrated energy Systems. It aims at enabling scientists to dissect the complex questions arising with respect to future energy markets, their market design, and energy-related policy instruments.

Agent-based Model
electricity
Energy
+ 4

Java
Python
BibTeX

125

oemof.solph

oemof.solph is a model generator for energy system modelling and optimisation. It facilitates the formulation of (mixed-integer) linear programs from a generic graph-based structure, allowing to create multi-sector models on different levels of detail with user-defined time-resolution.

Energy
Energy System Analysis
ESD
+ 2

Python
Batchfile

MFDFA

The Python package `MFDFA` provides the tools to perform a multifractal detrended fluctuation analysis that enables the investigation of stochastic processes where long-range memory and persistence are necessary to consider.

Data analysis
Energy
ESD
+ 3

Python

COMANDO

COMANDO is a next generation modeling framework for Component-Oriented Modeling and optimizAtion for Nonlinear Design and Operation of integrated energy systems.

Energy
ESD
ESD - Topic 2

Python

kramersmoyal

The Python package `kramersmoyal` provides functions to analyze stochastic drift-diffusion and discontinuous stochastic processes in observational and experimental data.

Data analysis
Drift-Diffusion
Energy
+ 5

Python
TeX

Copy-Paste Imputation (CPI) for Energy Time Series

This project provides a Python implementation of an imputation method for energy time series. The CPI method copies data blocks with similar characteristics and pastes them into gaps of the time series while preserving the total energy of each gap.

Earth & Environment
Energy
ESD
+ 2

Python

Multiphase Code Repository by HZDR for OpenFOAM Foundation Software

This software publication is released by Helmholtz-Zentrum Dresden-Rossendorf according to FAIR principles. It contains experimental research work for the numerical simulation of multiphase flows. The development is based on the open-source software released by the OpenFOAM Foundation.

Computational Fluid Dynamics
Energy
Euler-Euler method
+ 5

Propulate

An asynchronous evolutionary optimization algorithm and software package for global optimization and hyperparameter search on high-performance computers.

Aeronautics, Space and Transport
Earth & Environment
Energy
+ 9

Python

HELIPORT

The guidance system HELIPORT aims to make the entire life cycle of a scientific project according to the FAIR principles. In particular, our data management solution deals with the areas from the generation of the data to the publication of primary research data, the workflows and results.

data managment
Earth & Environment
Energy
+ 10

Python
HTML
JavaScript
+ 2

perun

perun is a Python package that calculates the energy consumption of Python scripts by sampling usage statistics from hardware interfaces. It can handle MPI applications, gather data from hundreds of nodes, and accumulate it efficiently.

Earth & Environment
Energy
FAIR Software
+ 2

Python