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https://github.com/protontypes/open-sustainable-technology

A directory and analysis of the open source ecosystem in the areas of climate change, sustainable energy, biodiversity and natural resources. https://docs.getgrist.com/gSscJkc5Rb1R/OpenSustaintech
https://github.com/protontypes/open-sustainable-technology

List: open-sustainable-technology

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A directory and analysis of the open source ecosystem in the areas of climate change, sustainable energy, biodiversity and natural resources. https://docs.getgrist.com/gSscJkc5Rb1R/OpenSustaintech

Awesome Lists containing this project

README 

          
 

# Open Sustainable Technology 

[](https://tabletopwhale.com/)__A directory and analysis of the open source ecosystem in the areas of climate change, sustainable energy, biodiversity and natural resources.__ 
 
_Earth's uniqueness in creating a stable environment for life in a completely hostile space is a miracle. Various life forms have taken billions of years to build up the natural resources humans depend on, such as a protective atmosphere, fertile soil, stable seasons, and clean drinking water. As a movement to democratize technology development and knowledge creation, open source has the potential to become the central driver in preserving this stability. Open Sustainable Technology's mission is to gather projects that preserve natural ecosystems through open technology, methods, data, intelligence, knowledge or tools._




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 Your contribution is essential to [keep this initative alive](https://opencollective.com/open-sustainable-technology). Create [a pull request](https://github.com/protontypes/open-sustainable-technology/blob/main/CONTRIBUTING.md) to add a new project or [send an email](mailto:tobias.augspurger@protontypes.eu) to give feedback, tips and ideas considering [OpenSustain.tech](https://opensustain.tech/). All _Good First Issue_ labelled issues of the listed projects will be visible on [ClimateTriage.com](https://climatetriage.com/). All open source metadata is been provided to you by [ecosyste.ms](https://github.com/ecosyste-ms/ost). You can find a details description of the metadata we are collecting [here](https://opensustain.tech/grist_spreadsheet_metadata).



## Contents



- [Renewable Energy](#renewable-energy)

  - [Photovoltaics and Solar Energy](#photovoltaics-and-solar-energy)

  - [Wind Energy](#wind-energy)

  - [Hydro Energy](#hydro-energy)

  - [Geothermal Energy](#geothermal-energy)

  - [Bioenergy](#bioenergy)

- [Energy Storage](#energy-storage)

  - [Battery](#battery)

  - [Hydrogen](#hydrogen)

- [Energy Systems](#energy-systems)

  - [Building Energy Monitoring](#building-energy-monitoring)

  - [Energy System Modeling Frameworks](#energy-system-modeling-frameworks)

  - [Energy Markets](#energy-markets)

  - [Energy Data Accessibility and Integration](#energy-data-accessibility-and-integration)

  - [Energy Policy](#energy-policy)

  - [Grid Analysis and Planning](#grid-analysis-and-planning)

  - [Grid Management and Microgrid](#grid-management-and-microgrid)

  - [Load and Demand Forecasting](#load-and-demand-forecasting)

  - [Global and Regional Energy System Models](#global-and-regional-energy-system-models)

  - [Renewable Energy Integration](#renewable-energy-integration)

- [Consumption](#consumption)

  - [Buildings and Heating](#buildings-and-heating)

  - [Mobility and Transportation](#mobility-and-transportation)

  - [Production and Industry](#production-and-industry)

  - [Computation and Communication](#computation-and-communication)

  - [Agriculture and Nutrition](#agriculture-and-nutrition)

- [Emissions](#emissions)

  - [Carbon Intensity and Accounting](#carbon-intensity-and-accounting)

  - [Carbon Offsets and Trading](#carbon-offsets-and-trading)

  - [Carbon Capture](#carbon-capture)

  - [Emission Observation and Modeling](#emission-observation-and-modeling)

- [Industrial Ecology](#industrial-ecology)

  - [Life Cycle Assessment](#life-cycle-assessment)

  - [Input Output Model](#input-output-model)

  - [Circular Economy and Waste](#circular-economy-and-waste)

- [Biosphere](#biosphere)

  - [Avian Monitoring and Analysis](#avian-monitoring-and-analysis)

  - [Bioacoustics and Acoustic Data Analysis](#bioacoustics-and-acoustic-data-analysis)

  - [Biomass](#biomass)

  - [Biodiversity Analysis and Metrics](#biodiversity-analysis-and-metrics)

  - [Biodiversity Citizen Science](#biodiversity-citizen-science)

  - [Biodiversity Data Access and Management](#biodiversity-data-access-and-management)

  - [Biodiversity Data Cleaning and Standardization](#biodiversity-data-cleaning-and-standardization)

  - [Conservation and Restoration](#conservation-and-restoration)

  - [Deforestation and Reforestation](#deforestation-and-reforestation)

  - [Ecological and Environmental Modeling](#ecological-and-environmental-modeling)

  - [Forest Modeling and Analysis](#forest-modeling-and-analysis)

  - [Forest Observation and Management](#forest-observation-and-management)

  - [Forest Remote Sensing](#forest-remote-sensing)

  - [Marine Life and Fishery](#marine-life-and-fishery)

  - [Plants and Vegetation](#plants-and-vegetation)

  - [Species Distribution Modeling](#species-distribution-modeling)

  - [Terrestrial Wildlife](#terrestrial-wildlife)

  - [Wildfire](#wildfire)

- [Cryosphere](#cryosphere)

  - [Sea Ice](#sea-ice)

  - [Glacier and Ice Sheets](#glacier-and-ice-sheets)

  - [Snow and Permafrost](#snow-and-permafrost)

- [Hydrosphere](#hydrosphere)

  - [Freshwater and Hydrology](#freshwater-and-hydrology)

  - [Ocean Models](#ocean-models)

  - [Waves and Currents](#waves-and-currents)

  - [Ocean Carbon and Temperature](#ocean-carbon-and-temperature)

  - [Coastal and Reefs](#coastal-and-reefs)

  - [Ocean and Hydrology Data Access](#ocean-and-hydrology-data-access)

- [Atmosphere](#atmosphere)

  - [Atmospheric Composition and Dynamics](#atmospheric-composition-and-dynamics)

  - [Atmospheric Dispersion and Transport](#atmospheric-dispersion-and-transport)

  - [Atmospheric Chemistry and Aerosol](#atmospheric-chemistry-and-aerosol)

  - [Meteorological Observation and Forecast](#meteorological-observation-and-forecast)

  - [Radiative Transfer](#radiative-transfer)

- [Climate Change](#climate-change)

  - [Earth and Climate Modeling](#earth-and-climate-modeling)

  - [Climate Data Standards](#climate-data-standards)

  - [Climate Data Access and Visualization](#climate-data-access-and-visualization)

  - [Climate Data Processing and Analysis](#climate-data-processing-and-analysis)

  - [Climate Downscaling](#climate-downscaling)

  - [Natural Hazard and Storm](#natural-hazard-and-storm)

  - [Integrated Assessment and Climate Policy](#integrated-assessment-and-climate-policy)

- [Natural Resources](#natural-resources)

  - [Air Quality](#air-quality)

  - [Water Supply and Quality](#water-supply-and-quality)

  - [Soil and Land](#soil-and-land)

  - [Ecotoxicology](#ecotoxicology)

- [Sustainable Development](#sustainable-development)

  - [Sustainable Development Goals](#sustainable-development-goals)

  - [Population and Poverty](#population-and-poverty)

  - [Sustainable Investment](#sustainable-investment)

  - [Knowledge Platforms](#knowledge-platforms)

  - [Data Catalogs and Interfaces](#data-catalogs-and-interfaces)

  - [Environmental Satellites](#environmental-satellites)

  - [Taxonomy and Ontology](#taxonomy-and-ontology)

  - [Curated Lists](#curated-lists)

- [Contributors](#contributors)

- [Artwork and License](#artwork-and-license)



## Renewable Energy



> This category of tools targets the entire system design of renewable energy systems – from obtaining data, site selection, and material simulation to yield forecasting and quality control. While tools vary, the goal is to utilize better the energy provided by renewable energy sources.



### Photovoltaics and Solar Energy



> __What?__ A method for generating and storing electricity directly from sunlight.



> __How?__ These tools help simulate, model, and forecast photovoltaic energy output, including optical and ray-tracing simulations; analyze and visualize system data; support quality control; and interface with solar hardware like panels, inverters, and batteries.



- [pvlib-python](https://github.com/pvlib/pvlib-python) - A set of documented functions for simulating the performance of photovoltaic energy systems.

- [pvfactors](https://github.com/SunPower/pvfactors) - Open source view-factor model for diffuse shading and bifacial PV modeling.

- [gsee](https://github.com/renewables-ninja/gsee) - Global Solar Energy Estimator.

- [PVMismatch](https://github.com/SunPower/PVMismatch) - An explicit Python PV system IV & PV curve trace calculator which can also calculate mismatch.

- [rdtools](https://github.com/NREL/rdtools) - An open source library to support reproducible technical analysis of time series data from photovoltaic energy systems.

- [Machine-Learning-for-Solar-Energy-Prediction](https://github.com/ColasGael/Machine-Learning-for-Solar-Energy-Prediction) - Predict the power production of a solar panel farm from weather measurements using machine learning.

- [elpv-dataset](https://github.com/zae-bayern/elpv-dataset) - A dataset of functional and defective solar cells extracted from EL images of solar modules.

- [feedinlib](https://github.com/oemof/feedinlib) - Contains implementations of photovoltaic models to calculate electricity generation from a PV installation based on given solar radiation. Furthermore it contains all necessary pre-calculations.

- [photovoltaic](https://github.com/pvedu/photovoltaic) - A Python library used in photovoltaics.

- [pvcaptest](https://github.com/pvcaptest/pvcaptest) - Collection of functions and Jupyter Notebooks to partially automate running a capacity test following ASTM E2848.

- [pvtrace](https://github.com/danieljfarrell/pvtrace) - Optical ray tracing for luminescent materials and spectral converter photovoltaic devices.

- [SolarPILOT](https://github.com/NREL/SolarPILOT) - Solar power tower layout and optimization tool.

- [solar-data-tools](https://github.com/slacgismo/solar-data-tools) - Data analysis tools for working with historical PV solar time-series data sets.

- [SolarPV-DER-simulation-utility](https://github.com/tdcosim/SolarPV-DER-simulation-tool) - Allows user to run dynamics simulations for solar photovoltaic distributed energy resource connected to a stiff voltage source or to an external program.

- [bifacial_radiance](https://github.com/NREL/bifacial_radiance) - Toolkit for working with RADIANCE for the ray-trace modeling of Bifacial Photovoltaics.

- [autoXRD](https://github.com/PV-Lab/autoXRD) - A Python package for automatic XRD pattern classification of thin-films, tweaked for small and class-imbalanced datasets.

- [BayesProcess](https://github.com/PV-Lab/BayesProcess) - A Python package for Physics informed Bayesian network inference using neural network surrogate model for matching process / variable / performance in solar cells.

- [solcore5](https://github.com/qpv-research-group/solcore5) - A multi-scale, Python-based library for the modeling of solar cells and semiconductor materials.

- [solax](https://github.com/squishykid/solax) - Read energy usage data from the real-time API on Solax solar inverters.

- [bifacialvf](https://github.com/NREL/bifacialvf) - Bifacial PV View Factor model for system performance calculation.

- [solaR](https://github.com/oscarperpinan/solar) - Allows for reproducible research both for photovoltaics systems performance and solar radiation.

- [SolarTherm](https://github.com/SolarTherm/SolarTherm) - Solar thermal power/fuel station performance simulation and optimization using Modelica.

- [LibreSolar](https://github.com/LibreSolar/bms-firmware) - Firmware for LibreSolar BMS boards based on bq769x0 or ISL94202.

- [Charge Controller Firmware](https://github.com/LibreSolar/charge-controller-firmware) - Firmware for LibreSolar MPPT/PWM charge controllers.

- [pvoutput](https://github.com/openclimatefix/pvoutput) - Python code for downloading PV data from PVOutput.org.

- [solarpy](https://github.com/aqreed/solarpy) - This package aims to provide a reliable solar radiation model, mainly based on the work of Duffie, J.A., and Beckman, W. A., 1974, "Solar energy thermal processes".

- [solariot](https://github.com/meltaxa/solariot) - Leverage your IoT enabled Solar PV Inverter to stream your solar energy usage data to a real time dashboard.

- [pvanalytics](https://github.com/pvlib/pvanalytics) - Quality control, filtering, feature labeling, and other tools for working with data from photovoltaic energy systems.

- [IonMonger](https://github.com/PerovskiteSCModelling/IonMonger) - A free and fast perovskite solar cell simulator with coupled ion vacancy and charge carrier dynamics in one dimension.

- [rayflare](https://github.com/qpv-research-group/rayflare) - Provide a flexible, user-friendly Python environment to model complex optical stacks, with a focus on solar cells.

- [pv-terms](https://github.com/DuraMAT/pv-terms) - Contains nomenclature for PV-relevant terms that are used in modeling and data analysis for PV systems.

- [StatisticalClearSky](https://github.com/slacgismo/StatisticalClearSky) - Statistical estimation of a clear sky signal from PV system power data.

- [Photovoltaic_Fault_Detector](https://github.com/RentadroneCL/Photovoltaic_Fault_Detector) - Model-definition is a deep learning application for fault detection in photovoltaic plants.

- [nasapower](https://github.com/ropensci/nasapower) - Aims to make it quick and easy to automate downloading NASA-POWER global meteorology, surface solar energy and climatology data in your R session as a tidy data frame tibble object for analysis and use in modeling or other purposes.

- [pvcompare](https://github.com/greco-project/pvcompare) - A model for comparing the benefits of different PV technologies in a specified local energy system in different energy supply scenarios.

- [SolTrace](https://github.com/NREL/SolTrace) - A software tool developed at NREL to model concentrating solar power (CSP) systems and analyze their optical performance.

- [CarrierCapture.jl](https://github.com/WMD-group/CarrierCapture.jl) - A set of codes to compute carrier capture and recombination rates in semiconducting compounds like solar cells.

- [honeybee](https://github.com/ladybug-tools/honeybee) - A Python library to create, run and visualize the results of daylight (RADIANCE) and energy analysis (EnergyPlus/OpenStudio).

- [MPPT-Solar-Charger](https://github.com/danjulio/MPPT-Solar-Charger) - Supporting documentation and software for the MPPT Solar Charger.

- [Tonatiuh](https://github.com/iat-cener/tonatiuh) - A Monte Carlo ray tracer for the optical simulation of solar concentrating systems.

- [PV4GER](https://github.com/kdmayer/3D-PV-Locator) - Aims at democratizing and accelerating the access to photovoltaic systems data in Germany and beyond.

- [PV Free](https://github.com/BreakingBytes/pvfree) - A public API for PV modeling parameters.

- [Pysolar](https://github.com/pingswept/pysolar) - A collection of Python libraries for simulating the irradiation of any point on earth by the sun. It includes code for extremely precise ephemeris calculations.

- [PV_ICE](https://github.com/NREL/PV_ICE) - An open-source tool to quantify Solar Photovoltaics (PV) Energy and Mass Flows in the Circular Economy, from a Reliability and Lifetime approach.

- [Solar electricity Nowcasting](https://github.com/openclimatefix/nowcasting) - Build the world's best near-term forecasting system for solar electricity generation.

- [Solar Forecast Arbiter](https://github.com/SolarArbiter/solarforecastarbiter-core) - Core data gathering, validation, processing, and reporting package for the Solar Forecast Arbiter.

- [pv-system-profiler](https://github.com/slacgismo/pv-system-profiler) - Estimating PV array location and orientation from real-world power datasets.

- [A Global Inventory of Commercial-, Industrial-, and Utility-Scale Photovoltaic Solar Generating Units](https://github.com/Lkruitwagen/solar-pv-global-inventory) - Used to produce a global inventory of utility-scale solar photovoltaic generating station.

- [dGen](https://github.com/NREL/dgen) - Forecast PV adoption based on user specified configurations like electricity rate prices, electricity load growth, solar resource factors, and much more.

- [SOLECTRUS](https://github.com/solectrus/solectrus) - An alternative photovoltaic dashboard that visualizes the yield and consumption.

- [pvdeg](https://github.com/NREL/PVDegradationTools) - Set of tools to calculate degradation responses and degradation related parameters for PV.

- [solarthing](https://github.com/wildmountainfarms/solarthing) - An application that can monitor data from a variety of solar charge controllers and inverters.

- [solXpect](https://github.com/woheller69/solxpect) - Android app to forecast the output of your photovoltaic system (PV) or balcony pv using data from Open-Meteo.com.

- [Solar Stations](https://github.com/AssessingSolar/solarstations) - A catalog of high-quality solar radiation monitoring stations.

- [OTSun](https://github.com/bielcardona/OTSun) - A Python package that uses the Monte Carlo Forward Ray Tracing for the optical analysis of Solar Thermal Collectors and Solar Cells.

- [pvOps](https://github.com/sandialabs/pvOps) - Contains a series of functions to facilitate fusion of text-based data with time series production data collected at photovoltaic sites.

- [CSP.guru](https://github.com/repolicy/csp-guru) - An open-source database of concentrating solar power plants of the world for energy modellers and analysts.

- [Quartz Solar Forecast](https://github.com/openclimatefix/Open-Source-Quartz-Solar-Forecast) - The aim of the project is to build an open source PV forecast that is free and easy to use.



- [Net Zero Citizens](https://github.com/Iniciativa-Climatica-Mexico/Net-Zero-Citizens) -  Through this web and mobile applications, users in Mexico can effortlessly connect with solar panel installers and photovoltaic panel sellers, making the switch to solar energy seamless and straightforward.

- [OpenPV](https://github.com/open-pv/website) - A website to simulate shading and annual PV yield based on 3D building data in the browser.

- [OpenDTU](https://github.com/tbnobody/OpenDTU) - An alternative open source software for communicating with Hoymiles solar inverters, which synchronises everything with the s-Miles cloud.

- [SimShady](https://github.com/open-pv/simshady) - Simulating Shadows for PV Potential Analysis on 3D Data in the Browser.

- [InSPIRE](https://github.com/NREL/InSPIRE) - Here we will collect scripts, trainings, studies, and any other open-source material that can help further the understanding and research of agrivoltaics.

- [twoaxistracking](https://github.com/pvlib/twoaxistracking) - A Python package for simulating two-axis tracking solar collectors, particularly self-shading.

- [huawei_solar](https://github.com/wlcrs/huawei_solar) - This integration exposes the information and functions made available by Huawei Solar inverters directly via one of its Modbus interfaces in Home Assistant.

- [Sunsynk-Power-Flow-Card](https://github.com/slipx06/sunsynk-power-flow-card) - A customizable Home Assistant card to emulate the Sunsynk System flow that's displayed on the Inverter screen.

- [Solarman integration](https://github.com/StephanJoubert/home_assistant_solarman) - Home Assistant component for interacting with Solarman data collectors used with a variety of inverters.

- [SunPeek](https://gitlab.com/sunpeek/sunpeek) - Implements a dynamic, in situ test methodology for large solar thermal plants.

- [SkyGPT](https://github.com/yuhao-nie/SkyGPT) - A physics-constrained stochastic sky video prediction model for probabilistic short-term solar forecasting.



### Wind Energy



> __What?__ A method for generating electricity in which turbines convert the wind's kinetic energy into mechanical or electrical energy. 



> __How?__ These tools help simulate and solve for the physics, energy output, and cost of wind turbines and farms, including maintenance, operations, and wildlife collision risk; analyze and forecast time series data; optimize turbine placement; and interface with SCADA datasets.



- [DSWE](https://github.com/TAMU-AML/DSWE-Package) - An R implementation of various data science methods for wind energy (DSWE) applications, such as providing machine learning methods to accurately estimate the wind power curve.

- [IEA-15-240-RWT](https://github.com/IEAWindTask37/IEA-15-240-RWT) - A 15 MW reference wind turbine repository developed in conjunction with IEA Wind.

- [windpowerlib](https://github.com/wind-python/windpowerlib) - A library to model the output of wind turbines and farms.

- [turbinesFoam](https://github.com/turbinesFoam/turbinesFoam) - A library for simulating wind and marine hydrokinetic turbines in OpenFOAM using the actuator line method.

- [nalu-wind](https://github.com/Exawind/nalu-wind) - Solver for wind farm simulations targeting exascale computational platforms.

- [openfast](https://github.com/OpenFAST/openfast) - A multi-physics, multi-fidelity tool for simulating the coupled dynamic response of wind turbines and wind farms.

- [amr-wind](https://github.com/Exawind/amr-wind) - A massively parallel, block-structured adaptive-mesh, incompressible flow solver for wind turbine and wind farm simulations.

- [OpenOA](https://github.com/NREL/OpenOA) - This library provides a framework for working with large time series data from wind plants, such as SCADA.

- [ROSCO](https://github.com/NREL/ROSCO) - NREL's Reference OpenSource Controller for wind turbine applications.

- [floris](https://github.com/NREL/floris) - A controls-oriented engineering wake modeling framework for evaluating the impact of wind farm controls on AEP and wind farm design.

- [PyWake](https://gitlab.windenergy.dtu.dk/TOPFARM/PyWake) - An AEP calculator for wind farms implemented in Python including a collection of wake models.

- [WISDEM](https://github.com/WISDEM/WISDEM) - Wind Plant Integrated System Design and Engineering Model.

- [WOMBAT](https://github.com/WISDEM/WOMBAT) - Windfarm Operations & Maintenance cost-Benefit Analysis Tool.

- [LandBOSSE](https://github.com/WISDEM/LandBOSSE) - The Land-based Balance-of-System Systems Engineering model is a systems engineering tool that estimates the balance-of-system costs associated with installing utility scale wind plants (10, 1.5 MW turbines or larger).

- [TopFarm2](https://gitlab.windenergy.dtu.dk/TOPFARM/TopFarm2) - A Python package developed by DTU Wind Energy to help with wind-farm optimizations.

- [BasicDTUController](https://gitlab.windenergy.dtu.dk/OpenLAC/BasicDTUController) - The scope of this project is to provide an open source, open access controller that can be used by the wind energy community as a reference.

- [WindEnergyToolbox](https://gitlab.windenergy.dtu.dk/toolbox/WindEnergyToolbox) - A collection of Python scripts that facilitate working with (potentially a lot) of HAWC2,HAWCStab2, FAST or other text input based simulation tools.

- [windfarmGA](https://github.com/YsoSirius/windfarmGA) - Genetic algorithm to optimize the layout of wind farms.

- [wtphm](https://github.com/lkev/wtphm) - The Wind Turbine Prognostics and Health Management library processes wind turbine events data, as well as operational SCADA data for easier fault detection, prognostics or reliability research.

- [AirfoilPreppy](https://github.com/WISDEM/AirfoilPreppy) - A Python module for pre-processing and evaluating aerodynamic airfoil data, primarily for wind turbine applications.

- [Draco](https://github.com/sintel-dev/Draco) - A collection of end-to-end solutions for machine learning problems commonly found in monitoring wind energy production system.

- [pyconturb](https://gitlab.windenergy.dtu.dk/pyconturb/pyconturb) - Constrained Stochastic Turbulence for Wind Energy Applications.

- [ORBIT](https://github.com/WISDEM/ORBIT) - Offshore Renewable Balance-of-system Installation Tool computes capital costs and activity times for offshore wind plant balance-of-system (everything besides the turbine) costs.

- [WindTurbineClassification](https://github.com/nmstreethran/WindTurbineClassification) - Specification of 'normal' wind turbine operating behaviour for rapid anomaly detection.

- [ANYstructure](https://github.com/audunarn/ANYstructure) - Offshore Steel structure calculation tool with automatic optimization and report generation.

- [SHARPy](https://github.com/ImperialCollegeLondon/sharpy) - Simulation of High Aspect Ratio aeroplanes and wind turbines in Python.

- [WindSE](https://github.com/NREL/WindSE) - A Python package that uses a FEniCS backend to perform wind farm simulations and optimization.

- [WEIS](https://github.com/WISDEM/WEIS) - WEIS is a framework that combines multiple tools to enable design optimization of floating offshore wind turbines.

- [pyNuMAD](https://github.com/sandialabs/pyNuMAD) - An object-oriented, open-source software written in Python which facilitates the creation and analysis of three-dimensional models of wind turbine blades. 

- [HAMS](https://github.com/YingyiLiu/HAMS) - An open-source computer program for the analysis of wave diffraction and radiation of three-dimensional floating or submerged structures.

- [brightwind](https://github.com/brightwind-dev/brightwind) - A Python library aims to empower wind resource analysts and establish a common industry standard toolset.

- [NRWAL](https://github.com/NREL/NRWAL) - A library of offshore wind cost equations.

- [welib](https://github.com/ebranlard/welib) - Wind energy library, Python and matlab tools for wind turbines analyses.

- [digital_wra_data_standard](https://github.com/IEA-Task-43/digital_wra_data_standard) - This standard data model and associated tools are intended as universal building blocks for Wind Energy Resource Assessment applications.

- [awebox](https://github.com/awebox/awebox) - Modelling and optimal control of single- and multiple-kite systems for airborne wind energy.

- [CCBlade.jl](https://github.com/byuflowlab/CCBlade.jl) - A blade element momentum method for propellers and turbines.

- [lidarwind](https://github.com/jdiasn/lidarwind) - Retrieve wind speed and direction profiles from Doppler lidar observations from the WindCube-200s.

- [FLOWUnsteady](https://github.com/byuflowlab/FLOWUnsteady) - An interactional aerodynamics and acoustics solver for multirotor aircraft and wind energy.

- [stochLAB](https://github.com/HiDef-Aerial-Surveying/stochLAB) - A tool to run collision risk models for seabirds on offshore wind farms.

- [Energy Research and Forecasting](https://github.com/erf-model/ERF) - Designed to provide a flexible computational framework for the exploration and investigation of different physics parameterizations and numerical strategies, and to characterize the flow field that impacts the ability of wind turbines to extract wind energy.

- [FLOWFarm.jl](https://github.com/byuflowlab/FLOWFarm.jl) - Wind farm simulation tool for gradient-based optimization.

- [foxes](https://github.com/FraunhoferIWES/foxes) - A modular wind farm simulation and wake modelling toolbox which is based on engineering wake models.

- [CN-AeroModels](https://gitlab.com/lheea/CN-AeroModels) - Developed to provide methods to compute the aerodynamic forces generated by wind propulsion systems for ships.

- [OpenWindSCADA](https://github.com/sltzgs/OpenWindSCADA) - Repository of openly available wind turbine SCADA datasets with high-level descriptions, reusable data loaders for convenient CSV import, and a platform for documenting insights related to data quality and malfunctions.

- [NREL Wind Turbine Power Curve Archive](https://github.com/NREL/turbine-models) - The purpose of this archive is to compile public wind turbine data in one place for easy access.

- [MoorDyn](https://github.com/FloatingArrayDesign/MoorDyn) - A lumped-mass mooring line model intended for coupling with floating structure codes.



### Hydro Energy



> __What?__ A method for producing electricity using generators powered by turbines that convert the potential energy of falling or rapidly flowing water into mechanical energy.



> __How?__ These tools help simulate and model waves, their interactions, and hydrodynamic forces; forecast energy production; facilitate data collection and visualization; and perform quality control of hydrological systems.



- [WecOptTool](https://github.com/sandialabs/WecOptTool) - Allows users to perform wave energy converter device design optimization studies with constrained optimal control.

- [CACTUS](https://github.com/sandialabs/CACTUS) - A turbine performance simulation code, based on a free wake vortex method, to study wind turbines and marine hydrokinetic devices.

- [hydro-power-database](https://github.com/energy-modelling-toolkit/hydro-power-database) - Collects basic information on all the European hydro-power plants.

- [MHKiT-Python](https://github.com/MHKiT-Software/MHKiT-Python) - Provides the marine renewable energy community tools for data processing, visualization, quality control, resource assessment, and device performance.

- [hydropowerlib](https://github.com/hydro-python/hydropowerlib) - Designed to calculate feed-in time series of run-of-the-river hydropower plants.

- [HydroPowerSimulations.jl](https://github.com/NREL-Sienna/HydroPowerSimulations.jl) - Contains extensions on PowerSystems.jl and PowerSimulations.jl to enable enhanced hydropower representations.

- [OpenHPL](https://github.com/OpenSimHub/OpenHPL) - An open source hydropower library that consists of hydropower unit models and is modeled using Modelica.

- [WEC-Sim](https://github.com/WEC-Sim/WEC-Sim) - Wave Energy Converter Simulator is an open source code for simulating wave energy converters.

- [BEMRosetta](https://github.com/BEMRosetta/BEMRosetta) - Used to model hydrodynamic forces in offshore devices like ships, offshore wind platforms and wave energy converters.

- [Capytaine](https://github.com/capytaine/capytaine) - A Python package for the simulation of the interaction between water waves and floating bodies in frequency domain.

- [DOLPHYN](https://github.com/macroenergy/Dolphyn.jl) - Evaluates investments and operations across the bulk supply chain for electricity and Hydrogen including production, storage, transmission, conditioning, and end-use consumption.

- [ocp](https://github.com/Open-Catalyst-Project/ocp) - Use AI to model and discover new catalysts for use in renewable energy storage to help in addressing climate change.

- [wmpy-power](https://github.com/9505-PNNL/wmpy_power) - A hydropower simulation model developed to support long-term planning and climate impacts studies.

- [HydroGenerate](https://github.com/IdahoLabResearch/HydroGenerate) - An open-source Python library that has the capability of estimating hydropower generation based on flow rate either provided by the user or received from United States Geological Survey water data services.



### Geothermal Energy



> __What?__ A method for producing electricity using turbines driven by geothermal energy found in underground reservoirs of hot water or steam.



> __How?__ These tools help simulate thermo-hydro-mechanical processes for everything from site selection to energy production prediction; evaluate, optimize, and analyze boreholes; and coordinate thermal networks.



- [pygfunction](https://github.com/MassimoCimmino/pygfunction) - An open source toolbox for the evaluation of thermal response factors of geothermal borehole fields.

- [GHEtool](https://github.com/wouterpeere/GHEtool) - GHEtool is an open source Python package that contains all the functionalities needed to deal with borefield design.

- [OpenGeoSys 6](https://gitlab.opengeosys.org/ogs/ogs) - A scientific open source project for the development of numerical methods for the simulation of thermo-hydro-mechanical-chemical processes in porous and fractured media.

- [FEHM](https://github.com/lanl/FEHM) - Has proved to be a valuable asset on a variety of projects of national interest including Environmental Remediation of the Nevada Test Site, the LANL Groundwater Protection Program, geologic CO2 sequestration, Enhanced Geothermal Energy programs, Oil and Gas production, Nuclear Waste Isolation, and Arctic Permafrost.

- [thermo](https://github.com/CalebBell/thermo) - Thermodynamics, phase equilibrium, transport properties and chemical database component of Chemical Engineering Design Library.

- [waiwera](https://github.com/waiwera/waiwera) - A parallel, open-source geothermal flow simulator.

- [fractoolbox](https://github.com/ICWallis/fractoolbox) - Python tools for structural geology and borehole image analysis which includes data handling, frequency and geometric analysis, and reservoir geomechanics.

- [GeoThermalCloud.jl](https://github.com/SmartTensors/GeoThermalCloud.jl) - A repository containing all the data and codes required to demonstrate applications of machine learning methods for geothermal exploration.

- [GOLEM](https://github.com/ajacquey/golem) - A numerical simulator for modelling coupled Thermo-Hydro-Mechanical processes in faulted geothermal reservoirs.

- [Ground Heat Exchanger Design Tool](https://github.com/j-c-cook/ghedt) - A package with the novel capability of automatically selecting ground heat exchanger configurations based on polygonal land constraints.

- [GEOPHIRES-X](https://github.com/NREL/GEOPHIRES-X) - Combines reservoir, wellbore, surface plant, and economic models to estimate the capital and operation and maintenance costs, instantaneous and lifetime energy production, and overall levelized cost of energy of a geothermal plant.

- [ThermalNetwork](https://github.com/NREL/ThermalNetwork) - A library for sizing multiple ground heat exchangers distributed around a single-pipe thermal network.



### Bioenergy



> __What?__ A type of fuel derived from biomass stemming from recently living plants, algae, and animal waste.



> __How?__ These tools help forecast and refine biogas production; simulate and analyze bioreactors; and facilitate compliance with biofuel laws and regulations.



- [bioenergy.org](https://github.com/bioenergy-research-centers/bioenergy.org) - A site dedicated to creating FAIR datasets to share across bioenergy research centers and to the global research community.

- [biogas](https://github.com/sashahafner/biogas) - Tools for biogas research in R: process biogas data and predict biogas production.

- [biosteam](https://github.com/BioSTEAMDevelopmentGroup/biosteam) - The Biorefinery Simulation and Techno-Economic Analysis Modules.

- [BETYdb](https://github.com/PecanProject/bety) - Web-interface to the Biofuel Ecophysiological Traits and Yields Database.

- [Low Carbon Fuel Standard](https://github.com/bcgov/lcfs) - An online application for fuel suppliers to manage their compliance obligations under the Low Carbon Fuels Act.

- [BiRD](https://github.com/NREL/BioReactorDesign) - A toolbox to simulate and analyze different designs of bioreactors in OpenFOAM.



## Energy Storage



> This category of tools targets devices and methods for storing energy. They help simulate electrochemical processes to analyze lifetime degradation and the interaction of energy storage systems with the broader grid.



### Battery



> __What?__ A device that converts chemical energy into electrical energy, usually in the form of direct current.



> __How?__ These tools help model and simulate electrochemical processes and battery interactions; monitor and control battery management systems; and analyze battery lifetime consumption and degradation.



- [bslib](https://github.com/FZJ-IEK3-VSA/bslib) - Database with battery parameters based on PerMod as well as functions in order to simulate battery storages. 

- [impedance.py](https://github.com/ECSHackWeek/impedance.py) - A Python package for working with electro-chemical impedance data.

- [PyBaMM](https://github.com/pybamm-team/PyBaMM) - Fast and flexible physics-based battery models in Python.

- [liionpack](https://github.com/pybamm-team/liionpack) - A battery pack simulation tool that uses the PyBaMM framework.

- [ENNOID-BMS](https://github.com/EnnoidMe/ENNOID-BMS) - Open Source: Modular BMS based on LTC68XX & STM32 MCU for up to 400V EV battery pack.

- [cellpy](https://github.com/jepegit/cellpy) - Extract and tweak data from electro-chemical tests of battery cells.

- [BatterySense](https://github.com/rlogiacco/BatterySense) - A simple Arduino library to monitor battery consumption of your battery powered projects, being LiPo, LiIon, NiCd or any other battery type, single or multiple cells: if it can power your Arduino you can monitor it.

- [beep](https://github.com/TRI-AMDD/beep) - A set of tools designed to support Battery Evaluation and Early Prediction of cycle life corresponding to the research of the d3batt program and the Toyota Research Institute.

- [snl-quest](https://github.com/sandialabs/snl-quest) - An open source, Python-based software application suite for energy storage simulation and analysis developed by Sandia National Laboratories.

- [simses](https://gitlab.lrz.de/open-ees-ses/simses) - Software for techno-economic Simulation of Stationary Energy Storage Systems.

- [CAEBAT OAS](https://vibe.ornl.gov/#introduction) - A flexible, robust, and computationally scalable open-architecture framework that integrates multi-physics and multi- scale battery models.

- [universal-battery-database](https://github.com/Samuel-Buteau/universal-battery-database) - The Universal Battery Database is an open source software for managing Lithium-ion cell data.

- [open_BEA](https://gitlab.lrz.de/open-ees-ses/openbea) - Open Battery Models for Electrical Grid Applications.

- [lp_opt](https://gitlab.lrz.de/open-ees-ses/lp_opt) - Linear Programming Optimization Tool for Battery Energy Storage Systems.

- [SLIDE](https://github.com/Battery-Intelligence-Lab/SLIDE) - SLIDE is a C++ code that simulates degradation of lithium ion cell.

- [equiv-circ-model](https://github.com/batterysim/equiv-circ-model) - An equivalent circuit model for a battery cell, module, and pack.

- [ISEAFramework](https://git.rwth-aachen.de/isea/framework) - Allows coupled electrical-thermal simulations of single storage systems (e.g. lithium ion batteries or double layer capacitors) or complete storage system packs.

- [Ampere](https://github.com/nealde/Ampere) - Advanced Model Package for ElectRochemical Experiments.

- [3d_milp](https://github.com/ElektrikAkar/3d_milp) - Energy Arbitrage Optimization With Battery Storage.

- [LIONSIMBA](https://github.com/lionsimbatoolbox/LIONSIMBA) - A Matlab framework based on a finite volume model suitable for Li-ion battery design, simulation, and control.

- [emobpy](https://gitlab.com/diw-evu/emobpy/emobpy) - An open tool for creating battery-electric vehicle time series from empirical data.

- [BattMo](https://github.com/BattMoTeam/BattMo) - The Battery Modelling Toolbox (BattMo) is a resource for continuum modelling of electrochemical devices in MATLAB.

- [LiBRA](https://github.com/BradyPlanden/LiiBRA.jl) - Create reduced-order state-space models for lithium-ion batteries utilising realisation algorithms.

- [PyBOP](https://github.com/pybop-team/PyBOP) - Provides a comprehensive suite of tools for parameterisation and optimisation of battery models.

- [MPET](https://github.com/TRI-AMDD/mpet) - Run simulations of batteries with porous electrodes using porous electrode theory, which is a volume-averaged, multiscale approach to capture the coupled behavior of electrolyte and active material within electrodes.

- [BIG-MAP](https://github.com/BIG-MAP/big-map-registry) - The Battery Interface Genome Materials Acceleration Platform is promoting accelerated discovery of novel battery materials.

- [BatteryML](https://github.com/microsoft/BatteryML) -  An Open-Source Tool for Machine Learning on Battery Degradation.

- [Battery Data Toolkit](https://github.com/ROVI-org/battery-data-toolkit) - Converts battery testing data from native formats to a standardized HDF5 file.

- [galpynostatic](https://github.com/fernandezfran/galpynostatic) - A Python/C++ package with physics-based models to predict optimal conditions for fast-charging lithium-ion batteries.

- [bms-c1](https://github.com/LibreSolar/bms-c1) - A flexible Open Source Battery Management System (BMS) suitable for various applications.

- [Battery-Emulator](https://github.com/dalathegreat/Battery-Emulator) - This software enables EV battery packs to be used for stationary storage in combination with solar inverters.

- [BLAST-Lite](https://github.com/NREL/BLAST-Lite) - Battery Lifetime Analysis and Simulation Toolsuite provides a library of battery lifetime and degradation models for various commercial lithium-ion batteries from recent years.

- [RFB-dev-kit](https://codeberg.org/FBRC/RFB-dev-kit) - A benchtop flow battery development kit, extendable to other electrochemical systems with flow.

- [FAIR-Battery](https://github.com/SanliFaez/FAIR-Battery) - We seek to present an open-hardware platform for a versatile battery technology and make the platform radically accessible.

- [Homeassistant E3DC Integration](https://github.com/fl4p/batmon-ha) - Monitor and control various Battery management systems (BMS) over Bluetooth and send the results to Home Assistant. 



### Hydrogen



> __What?__ A method of storing and delivering energy by converting electricity to hydrogen via electrolysis and back to electricity using fuel cells or combustion.



> __How?__ These tools help simulate and model hydrogen fuel cells and hybrid systems; analyze hydrogen production, storage, and infrastructure; assess safety and risk scenarios; and optimize hydrogen integration into gas and multi-energy networks.



- [OPEM](https://github.com/ECSIM/opem) - A modeling tool for evaluating the performance of proton exchange membrane fuel cells.

- [gopem](https://github.com/ECSIM/gopem) - GOPEM is a graphical user interface of OPEM.

- [pem-dataset1](https://github.com/ECSIM/pem-dataset1) - Proton Exchange Membrane Fuel Cell Dataset.

- [HIM](https://github.com/FZJ-IEK3-VSA/HIM) - Hydrogen Infrastructure model for the analysis of spatially resolved hydrogen infrastructure pathways.

- [pandapipes](https://github.com/e2nIEE/pandapipes) - A pipeflow calculation tool that complements pandapower in the simulation of multi energy grids, in particular heat and gas networks.

- [The Hydrogen Risk Assessment Models](https://github.com/sandialabs/hyram) - The first-ever software toolkit that integrates deterministic and probabilistic models for quantifying accident scenarios, predicting physical effects, and characterizing hydrogen hazards impact on people and structures.

- [GasModels.jl](https://github.com/lanl-ansi/GasModels.jl) - A Julia/JuMP Package for Gas Network Optimization.

- [SciGRID_gas](https://www.gas.scigrid.de/) - Methods to create an automated network model of the European gas transportation network.

- [Vehicle with Fuel Cell Powertrain](https://github.com/mathworks/Fuel-Cell-Vehicle-Model-Simscape) - Fuel cell electric vehicle with battery model and cooling system.

- [VirtualFCS](https://github.com/Virtual-FCS/VirtualFCS) - A Modelica library for hybrid hydrogen fuel cell and battery power systems.

- [GEOH2](https://github.com/ClimateCompatibleGrowth/GeoH2) - Calculates the locational cost of green hydrogen production, storage, transport, and conversion to meet demand in a specified location.



## Energy Systems



> This category of tools targets every aspect of larger-scale energy systems, from monitoring, managing, and forecasting regional energy supply to designing renewable energy policies and integrations.



### Building Energy Monitoring



> __What?__ The continuous tracking, analysis, and visualization of energy consumption, production, and performance data in buildings and residential systems.



> __How?__ These tools enable real-time and historical monitoring of electricity, temperature, and other environmental metrics; integrate with smart meters, IoT sensors, and home automation platforms; provide dashboards for users to optimize energy use and costs; and support forecasting, scheduling, and load management for energy assets.



- [Open Energy Dashboard](https://github.com/OpenEnergyDashboard/OED) - Open Energy Dashboard is a user-friendly way to display energy information from smart energy meter.

- [Emoncms](https://github.com/emoncms/emoncms) - A powerful open source web application for processing, logging and visualizing energy, temperature and other environmental data.

- [Open Energy View](https://github.com/JPHutchins/open-energy-view) - The goal of this project is to analyze and present resource consumption data to users empowering them to conserve and save money.

- [Green Monitoring Stack](https://github.com/cisco-open/green-monitoring) - An open-source stack that monitors the network, data center (compute / storage) infrastructure, third-party devices and external sources to understand the energy consumption and its relation to traffic and bandwidth, the cost and the carbon footprint at various levels of granularity.

- [FlexMeasures](https://github.com/FlexMeasures/flexmeasures) - A platform for building energy flexibility services with forecasting and scheduling, written in Python & offering a USEF-conform API.

- [OpenEMS](https://github.com/OpenEMS/openems) - Open Source Energy Management System.

- [SolarNetwork](https://github.com/SolarNetwork/solarnetwork-node) - Flexible platform for the monitoring and control of energy assets, meters, sensors, weather stations, EV chargers, market pricing, load optimization, and more.

- [emonpi](https://github.com/openenergymonitor/emonpi) - The OpenEnergyMonitor system has the capability to monitor electrical energy use / generation, temperature and humidity.

- [EmonLib](https://github.com/openenergymonitor/EmonLib) - Arduino Energy Monitoring Library.

- [STM32 Energy Monitoring](https://github.com/openenergymonitor/STM32) - The following resources are a work in progress guide to using the STM32 platform for energy monitoring, being written as part of development work into the next generation of OpenEnergyMonitor hardware.

- [OpenSmartMeter](https://github.com/EnAccess/OpenSmartMeter) - Low-cost & OEM agnostic GSM prepaid smart energy meter with a customizable API.

- [EHMASS](https://github.com/davidusb-geek/emhass) - Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.

- [PowerCalc](https://github.com/bramstroker/homeassistant-powercalc) - Custom component for Home Assistant to estimate the power consumption (as virtual meters) of lights, fans, smart speakers and other devices, which don't have a built-in power meter.

- [homeassistant-alphaESS](https://github.com/CharlesGillanders/homeassistant-alphaESS) - Monitor your energy generation, storage, and usage data using the official Open API from Alpha ESS.

- [eemeter](https://github.com/openeemeter/eemeter) - An open source Python package for implementing and developing standard methods for calculating normalized metered energy consumption and avoided energy use.

- [Home Assistant Octopus Energy](https://github.com/BottlecapDave/HomeAssistant-OctopusEnergy) - Bring your Octopus Energy details into Home Assistant to help you towards a more energy efficient (and or cheaper) home.

- [Home Assistant Glow](https://github.com/klaasnicolaas/home-assistant-glow) - Makes a (not so) smart meter without a P1 port easily readable, reading the pulse LED that is always present in most cases and it works with ESPHome!

- [DSMR Toolkit](https://github.com/nielsbasjes/dsmr-tools) - A set of Java based libraries and tools that should allow processing Dutch Smart Meter Requirements messages in a way that is as flexible and reusable as possible.

- [myenergi for Home Assistant](https://github.com/CJNE/ha-myenergi) - Home Assistant integration for MyEnergi renewable energy products and ev chargers.

- [Sankey Chart Card](https://github.com/MindFreeze/ha-sankey-chart) - A Home Assistant lovelace card to display a sankey chart showing energy, power and water consumption.

- [Modbus Schema Toolkit](https://github.com/nielsbasjes/modbus-schema) - A set of Kotlin/Java libraries and tools to turn meaningless binary Modbus values (from Electricity meters, Heatpumps, Solar Inverters (PV) and SunSpec based devices) into meaningful values, make the modbus queries efficient and expose the values to MQTT (Home Assistant), InfluxDB and GraphQL.



### Energy System Modeling Frameworks



> __What?__ Computational tools and platforms used to simulate, optimize, and analyze the behavior, evolution, and performance of complex energy systems over time and space.



> __How?__ These tools help model and perform cost-benefit analysis and investment plans to support decarbonisation and electrification pathways; simulate and optimize energy system operations; and incorporate geospatial information for efficient land planning.



- [Open Energy System Models](https://en.wikipedia.org/wiki/Open_energy_system_models) - Used to explore future energy systems and are often applied to questions involving energy and climate policy.

- [Open Energy System Databases](https://en.wikipedia.org/wiki/Open_energy_system_databases) - Employ open data methods to collect, clean, and republish energy-related datasets for open use.

- [PyPSA](https://github.com/PyPSA/PyPSA) - A free software toolbox for simulating and optimizing modern power systems that include features such as conventional generators with unit commitment, variable wind and solar generation, storage units, coupling to other energy sectors, and mixed alternating and direct current networks.

- [whobs-server](https://github.com/PyPSA/whobs-server) - This is the code for the online optimization of zero-direct-emission electricity systems with wind, solar and storage (using batteries and electrolysed hydrogen gas) to provide a baseload electricity demand, using the cost and other assumptions of your choice.

- [System Advisor Model](https://github.com/NREL/SAM) - A simulation program for electricity generation projects. It has models for different kinds of renewable energy systems and financial models for residential, commercial, and utility-scale projects.

- [openTEPES](https://github.com/IIT-EnergySystemModels/openTEPES) - Determines the investment plans of new facilities (generators, ESS and lines) for supplying the forecasted demand at minimum cost.

- [REopt_API](https://github.com/NREL/REopt_API) - Offers a subset of features from NREL's more comprehensive REopt model. Both models provide concurrent, multiple technology integration and optimization capabilities to help organizations meet their cost savings and energy performance goals.

- [pandapower](https://github.com/e2nIEE/pandapower) - An easy to use open source tool for power system modeling, analysis and optimization with a high degree of automation.

- [urbs](https://github.com/tum-ens/urbs) - A linear optimization model for distributed energy systems.

- [Dispa-SET](https://github.com/energy-modelling-toolkit/Dispa-SET) - Allows to model a power system at any level of detail e.g. micro-grid, region, country, continent.

- [Calliope](https://github.com/calliope-project/calliope) - A framework to develop energy system models, with a focus on flexibility, high spatial and temporal resolution, the ability to execute many runs based on the same base model, and a clear separation of framework and model.

- [OSeMOSYS](https://github.com/OSeMOSYS/OSeMOSYS) - An open source modeling system for long-run integrated assessment and energy planning. It has been employed to develop energy systems models from the scale of continents (African Power Pools, South America, EU28+2) down to the scale of countries, regions and villages.

- [FINE](https://github.com/FZJ-IEK3-VSA/FINE) - Provides a framework for modeling, optimizing and assessing energy systems.

- [CoMPAS](https://github.com/com-pas/compas-architecture) - Formed to develop open source software components related to IEC 61850 model implementation (profile management) and configuration of a power industry Protection Automation and Control System.

- [PowerSimulations.jl](https://github.com/NREL-Sienna/PowerSimulations.jl) - A Julia package for power system modeling and simulation of Power Systems operations.

- [PowerSystems.jl](https://github.com/NREL-Sienna/PowerSystems.jl) - Provides a rigorous data model using Julia structures to enable power systems analysis and modeling.

- [DistAIX](https://git.rwth-aachen.de/acs/public/simulation/DistAIXFramework/distaix) - A simulator for cyber-physical power systems that makes use of high performance computing techniques to scale up the simulation.

- [Antares Simulator](https://github.com/AntaresSimulatorTeam/Antares_Simulator) - An Open Source power system simulator to quantify the adequacy or the economic performance of interconnected energy systems, at short or remote time horizons.

- [HELICS](https://github.com/GMLC-TDC/HELICS) - Today the core uses are in the energy domain, where there is extensive and growing support for a wide-range of electric power system, natural gas, communications and control-schemes, transportation, buildings, and related domain tools.

- [oemof-solph](https://github.com/oemof/oemof-solph) - A model generator for energy system modeling and optimization.

- [oemof-thermal](https://github.com/oemof/oemof-thermal) - Provides tools to model thermal energy components as an extension of oemof.solph, e.g. compression heat pumps, concentrating solar plants, thermal storage and solar thermal collectors.

- [VILLASnode](https://git.rwth-aachen.de/acs/public/villas/node) - Connecting real-time power grid simulation equipment.

- [Joulia.jl](https://github.com/JuliaEnergy/Joulia.jl) - A Large-Scale Spatial Power System Model for Julia.

- [The IDAES Toolkit](https://github.com/IDAES/idaes-pse) - Aims to provide multi-scale, simulation-based, open source computational tools and models to support the design, analysis, optimization, scale-up, operation and troubleshooting of innovative, advanced energy systems.

- [Temoa](https://github.com/TemoaProject/temoa) - Tools for Energy Model Optimization and Analysis (Temoa) is an open source modeling framework for conducting energy system analysis.

- [PowerSystemDataModel](https://github.com/ie3-institute/PowerSystemDataModel) - Provides an extensive data model capable of modeling energy systems with high granularity e.g. for bottom-up simulations.

- [antaresViz](https://github.com/rte-antares-rpackage/antaresViz) - Visualize the results of Antares, an Open Source power system simulator meant to be used by anybody placing value in quantifying the adequacy or the economic performance of interconnected energy systems, at short or remote time horizons.

- [antaresRead](https://github.com/rte-antares-rpackage/antaresRead) - Import, manipulate and explore the results of an Antares simulation.

- [Spine-Toolbox](https://github.com/spine-tools/Spine-Toolbox) - An application to define, manage, and execute various energy system simulation models.

- [OMEGAlpes](https://gricad-gitlab.univ-grenoble-alpes.fr/omegalpes/omegalpes) - Aims to be an energy systems modeling tool for linear optimization (LP, MILP).

- [deflex](https://github.com/reegis/deflex) - Flexible multi-regional energy system model for heat, power and mobility.

- [energy-py-linear](https://github.com/ADGEfficiency/energy-py-linear) - Optimizing energy systems using mixed integer linear programming.

- [AnyMOD.jl](https://github.com/leonardgoeke/AnyMOD.jl) - Creating large scale energy system models with multiple periods of capacity expansion formulated as linear optimization problems.

- [FlexiGIS](https://github.com/FlexiGIS/FlexiGIS) - Extracts, filters and categorizes the geo-referenced urban energy infrastructure and allocates the required decentralized storage in urban settings.

- [CapacityExpansion.jl](https://github.com/YoungFaithful/CapacityExpansion.jl) - Future energy system planning (Generation and Transmission Capacity Expansion Planning) in Julia.

- [DPsim](https://github.com/sogno-platform/dpsim) - A solver library for dynamic power system simulation.

- [GenX](https://github.com/GenXProject/GenX) - A highly-configurable, open source electricity resource capacity expansion model that incorporates several state-of-the-art practices in electricity system planning to offer improved decision support for a changing electricity landscape.

- [Open Energy Platform](https://github.com/OpenEnergyPlatform/oeplatform) - Aims to ensure quality, transparency and reproducibility in energy system research. It is a collection of various tools and information and that help working with energy-related data.

- [oemof](https://github.com/oemof/oemof) - Open Energy Modelling Framework - A Python toolbox for energy system modeling and optimization. A community driven, modular, flexible and generic software project.

- [PowSyBl](https://github.com/powsybl/powsybl-core) - An open source framework written in Java, that makes it easy to write complex software for power systems simulations and analysis.

- [PowSyBl Open Load Flow](https://github.com/powsybl/powsybl-open-loadflow) - An open source library written in Java, that makes it easy to write complex software for power systems simulations and analysis.

- [PyPowSyBl](https://github.com/powsybl/pypowsybl) - A Python library for modelling and simulating power grids by providing bindings to the powsybl Java framework.

- [matpower](https://github.com/MATPOWER/matpower) - A package of M-files for solving power flow, continuation power flow and optimal power flow problems using MATLAB or Octave.

- [energyRt](https://github.com/energyRt/energyRt) - Making Energy Systems Modeling as simple as a linear regression in R.

- [MVS](https://github.com/rl-institut/multi-vector-simulator) - The multi-vector simulator allows the evaluation of local sector-coupled energy systems that include the energy carriers electricity, heat and/or gas.

- [PowNet](https://github.com/Critical-Infrastructure-Systems-Lab/PowNet) - A least-cost optimization model for simulating the Unit Commitment and Economic Dispatch of large-scale (regional to country) power systems.

- [OpenIPSL](https://github.com/OpenIPSL/OpenIPSL) - A library of power system component models written in the Modelica language that can be used for power system dynamic analysis, such as phasor time-domain simulations.

- [RAMP](https://github.com/RAMP-project/RAMP) - A bottom-up stochastic model for the generation of high-resolution multi-energy profiles, conceived for application in contexts where only rough information about users' behaviour are obtainable.

- [energy-py](https://github.com/ADGEfficiency/energy-py) - Reinforcement learning for energy systems.

- [glaes](https://github.com/FZJ-IEK3-VSA/glaes) - Geospatial Land Availability for Energy Systems.

- [onsset](https://github.com/OnSSET/onsset) - A GIS based optimization tool that has been developed to support electrification planning and decision making for the achievement of energy access goals in currently unserved locations.

- [rl-testbed-for-energyplus](https://github.com/IBM/rl-testbed-for-energyplus) - Reinforcement Learning Testbed for Power Consumption Optimization using EnergyPlus.

- [tsam](https://github.com/FZJ-IEK3-VSA/tsam) - A Python package which uses different machine learning algorithms for the aggregation of time series.

- [GridPath](https://github.com/blue-marble/gridpath) - A versatile simulation and optimization platform for power-system planning and operations.

- [ANDES](https://github.com/curent/andes) - Power system transient dynamics simulation with symbolic modeling and numerical analysis.

- [ESDL](https://github.com/EnergyTransition/ESDL) - A modelling language created for the components in an energy system and their relations towards each other.

- [Transactive Energy Service System](https://github.com/slacgismo/TESS) - A platform to design, deploy, and operate transactive energy systems in electric utility retail environments.

- [Minpower](https://github.com/adamgreenhall/minpower) - An open source toolkit for students and researchers in power systems.

- [Frictionless Energy data](https://sentinel-energy.github.io/friendly_data/) - Common medium to facilitate the flow of data between energy and environmental models in a way that can be automated.

- [Open Modeling Framework](https://github.com/dpinney/omf) - A set of Python libraries for simulating power systems behavior with an emphasis on cost-benefit analysis of emerging technologies.

- [PSP-UFU](https://github.com/Thales1330/PSP) - Open-Source Software with advanced GUI features and CAD tools for electrical power system studies.

- [GENeSYS-MOD](https://git.tu-berlin.de/genesysmod/genesys-mod-public) - An open-source energy system model, originally based on the Open-Source Energy Modeling System (OSeMOSYS) framework, with various additions.

- [PREP-SHOT](https://github.com/PREP-NexT/PREP-SHOT) - A transparent, modular, and open-source Energy Capacity Expansion Model.

- [HYBRID](https://github.com/idaholab/HYBRID) - A modeling toolset to assess the integration and economic viability of Integrated Energy Systems.

- [FAME](https://gitlab.com/fame-framework/fame-core) - Its purpose is supporting the rapid development and fast execution of complex agent-based energy system simulations.

- [REMix](https://gitlab.com/dlr-ve/esy/remix/framework) - The main focus is on the broad techno-economical assessment of possible future

energy system designs and analysis of interactions between technologies.

- [StorageVET](https://github.com/epri-dev/StorageVET) - A valuation model for analysis of energy storage technologies and some other energy resources paired with storage.

- [OpenDER](https://github.com/epri-dev/OpenDER) - Aims to accurately represent steady-state and dynamic behaviors of inverter-based distributed energy resources.

- [ETM Pro](https://github.com/quintel/etmodel) - Professional interface of the Energy Transition model.

- [ETSource](https://github.com/quintel/etsource) - Contains the data used by Quintel energy transition modelling applications, allowing you to explore possible future energy systems for your country, region or municipality.

- [MESMO](https://github.com/mesmo-dev/mesmo) - An open-source Python tool for the modeling, simulation and optimization of multi-scale electric and thermal distribution systems along with distributed energy resources.

- [NemoMod.jl](https://github.com/sei-international/NemoMod.jl) - A high performance, open-source energy system optimization modeling tool developed in Julia.

- [Dynaωo](https://github.com/dynawo/dynawo) - Aims at providing power system stakeholders with a transparent, flexible, interoperable and robust suite of simulation tools that could ease collaboration and cooperation in the power system community.

- [TIMES_model](https://github.com/etsap-TIMES/TIMES_model) - A bottom-up optimization model used for the exploration of possible energy futures based on contrasted scenarios.

- [xl2times](https://github.com/etsap-TIMES/xl2times) - An open source tool to convert TIMES models specified in Excel to a format ready for processing by GAMS.

- [MUSE_OS](https://github.com/EnergySystemsModellingLab/MUSE_OS) - A open source agent-based modelling environment that can be used to simulate change in an energy system over time.

- [Energy Transition Engine](https://github.com/quintel/etengine) - Calculation engine for the Energy Transition Model.

- [enerflow](https://github.com/rebase-energy/enerflow) - An open-source Python framework that enables energy data scientists and modellers to write modular and reproducible energy models that solves sequential decision problems.

- [Energy System Simulation and Optimization](https://github.com/Akkudoktor-EOS/EOS) - An open-source energy optimization system that integrates renewable energy sources, such as photovoltaic (PV) systems, battery storage, and smart load management solutions.

- [SpineOpt.jl](https://github.com/spine-tools/SpineOpt.jl) - A highly adaptable modelling framework for multi-energy systems written in Julia.

- [BlueSky](https://github.com/EIAgov/BlueSky) - An EIA initiative to develop an open source, next generation energy systems model, which will eventually be used to produce the Annual Energy Outlook (AEO) and International Energy Outlook (IEO).

- [Balmorel](https://github.com/balmorelcommunity/Balmorel) - A bottom-up partial equilibrium energy system model that has traditionally been applied to investigate decarbonisation pathways of sector-coupled energy systems, infrastructure, renewable fuel production and more.

- [open-energy-modeling-benchmarks](https://github.com/jump-dev/open-energy-modeling-benchmarks) - The purpose of this repository is to collate a collection of benchmarks related to open energy modeling in JuMP.

- [flixOpt](https://github.com/flixOpt/flixOpt) - Python-based optimization framework designed to tackle energy and material flow problems using mixed-integer linear programming (MILP) and provides a powerful platform for both dispatch and investment optimization challenges.

- [resolve](https://github.com/e3-/resolve) - Resolve is a Python-based least-cost capacity expansion model that identifies optimal electricity supply portfolios through capacity expansion and production simulation modeling.

- [COPPER](https://gitlab.com/sesit/copper) - The Canadian Opportunities for Planning and Production of Electricity Resources (COPPER) framework is a multi-period, optimization-based CEM that co-optimizes investment in thermal generation, REs, transmission network, and storage technologies.

- [SustainGym](https://github.com/chrisyeh96/sustaingym) - Reinforcement Learning Environments for Sustainable Energy Systems.

- [IESopt.jl](https://github.com/ait-energy/IESopt.jl) - Modeling and optimization framework for integrated energy systems.

- [H2Integrate](https://github.com/NREL/H2Integrate) - An open-source Python package for modeling and designing hybrid energy systems producing electricity, hydrogen, ammonia, steel, and other products.

- [Tulipa Energy Model](https://github.com/TulipaEnergy/TulipaEnergyModel.jl) - An energy system modelling framework for investment (expansion) and dispatch (operations) optimisations using mixed-integer linear programming (MILP) - primarily for informing policy-maker & stakeholder decisions in the energy transition. Focuses on generalized & compact formulations (peer-reviewed publications) and efficient code implementation to handle large-scale problems (i.e. European) while maintaining sufficient granularity.

- [Roseau Load Flow](https://github.com/RoseauTechnologies/Roseau_Load_Flow) - A powerful load flow solver and static analysis tool.

- [ExerPy](https://github.com/oemof/exerpy) - A Python library designed to perform detailed exergy analysis of energy conversion systems.



### Energy Markets



> __What?__ A type of commodity marketplace where electricity, heat, and fuel products are bought and sold.



> __How?__ These tools model and simulate energy markets to, for instance, optimize renewable energy portfolios; handle energy attribute certificates; and help interface with energy marketplaces.



- [Grid Singularity Energy Exchange](https://github.com/gridsingularity/gsy-e) - An interface to download and deploy interconnected, grid-aware energy marketplaces.

- [origin](https://github.com/energywebfoundation/origin) - A set of toolkits that together provide a system for issuance and management of Energy Attribute Certificates.

- [AMIRIS-Py](https://gitlab.com/dlr-ve/esy/amiris/amiris-py) - Python tools for the electricity market model AMIRIS.

- [ASSUME](https://github.com/assume-framework/assume) - An open-source toolbox for agent-based simulations of European electricity markets, with a primary focus on the German market setup.

- [NEMS](https://github.com/EIAgov/NEMS) - A long-term energy-economy modeling system of U.S. energy markets.

- [POMATO](https://github.com/richard-weinhold/pomato) - An easy to use tool for the comprehensive analysis of the modern electricity market.

- [pommesdispatch](https://github.com/pommes-public/pommesdispatch) - A bottom-up fundamental power market model for the German electricity sector.

- [openCEM](https://github.com/openCEMorg/openCEM) - Capacity Expansion Model and Optimiser for the Australian National Energy Market.

- [NEMO](https://github.com/bje-/NEMO) - The National Electricity Market Optimizer is a chronological dispatch model for testing and optimizing different portfolios of conventional and renewable electricity generation technologies.



### Energy Data Accessibility and Integration



> __What?__ Platforms and tools that facilitate energy data access and use.



> __How?__ These tools help access, standardize, and clean energy data, and provide API endpoints for regional and national scales.



- [OpenNEM](https://github.com/opennem/opennem-fe) - Aims to make the wealth of public Australian Electricity Market data more accessible to a wider audience.

- [The Public Utility Data Liberation Project](https://github.com/catalyst-cooperative/pudl) - Makes the US' energy data easier to access and use.

- [Open Data Access Tools](https://github.com/openEDI/open-data-access-tools) - Aims to improve and automate access to high-value energy datasets across the U.S. Department of Energy's programs, offices, and national laboratories, and help researchers and industry to accelerate analysis and advance innovation.

- [Power Station Dictionary](https://github.com/OSUKED/Power-Station-Dictionary) - A power station dictionary that enables mapping between various naming conventions and associated plant metadata.

- [powerplantmatching](https://github.com/PyPSA/powerplantmatching) - A toolset for cleaning, standardizing and combining multiple power plant databases.

- [TransitionZero Python Client](https://github.com/transition-zero/tz-client) - This Python Client gives programmatic access to all the functionality of TransitionZero, a not-for-profit set to decarbonise energy systems by supporting global businesses and emerging market governments with open, granular and accessible data.

- [entsoe-py](https://github.com/EnergieID/entsoe-py) - A Python client for the ENTSO-E API (European Network of Transmission System Operators for Electricity).

- [pyEIA](https://github.com/thomastu/pyEIA) - An Energy Information Administration API Python client for researchers who need data.

- [EIA](https://github.com/ropensci/eia) - An R package wrapping the US Energy Information Administration open data API.

- [eiapy](https://github.com/systemcatch/eiapy) - A simple wrapper for the U.S. Energy Information Administration API. 

- [feo-client](https://github.com/transition-zero/feo-client) - Crafted for energy systems modellers seeking access to data for nodes, assets, technologies, as well as the data supporting models and scenarios published by TransitionZero.

- [EIAdata](https://github.com/Matt-Brigida/EIAdata) - Provides programmatic access to the Energy Information Administration's API.

- [PowerGenome](https://github.com/PowerGenome/PowerGenome) - A tool to quickly and easily create inputs for power systems models.

- [conventional power plants](https://github.com/Open-Power-System-Data/conventional_power_plants) - Contains data on conventional power plants for Germany as well as other selected European countries. The data include individual power plants with their technical characteristics.

- [Open Power System Data](https://open-power-system-data.org/data-sources) - A list of primary data sources that are helpful for power system modeling of Europe.

- [time series](https://github.com/Open-Power-System-Data/time_series) - Contains scripts that compile time series data of the European power system.

- [Power grid frequency data base](https://osf.io/by5hu/) - This data set contains precisely time stamped (GPS referenced) frequency data from several power grids around the world in one second resolution and 1 hour excerpts of raw data.

- [gridstatus](https://github.com/kmax12/gridstatus) - Provides standardized API to access energy data from the major Independent System Operators in the United States.

- [ElexonDataPortal](https://github.com/OSUKED/ElexonDataPortal) - Wrapper for the Balancing Mechanism Reporting Service API to balance power flowing on to and off from the electricity Transmission System in Great Britain.

- [NYISOToolkit](https://github.com/m4rz910/NYISOToolkit) - A collection of modules for accessing power system data, generating statistics, and creating visualizations from the New York Independent System Operator.

- [Global Power Plant Database](https://github.com/wri/global-power-plant-database) - A comprehensive, global and open source database of power plants.

- [GeoNuclearData](https://github.com/cristianst85/GeoNuclearData) - Database with information about Nuclear Power Plants worldwide.

- [UKgrid](https://github.com/RamiKrispin/UKgrid) - An R data package with the UK National Grid historical demand for electricity between April 2005 and October 2019.

- [ESIOS](https://github.com/SanPen/ESIOS) - Comprehensive library to access the Spanish electricity market entity in Python.

- [energy-data](https://github.com/owid/energy-data) - Data on global energy consumption (primary energy, per capita, and growth rates), energy mix, electricity mix and other relevant metrics.

- [EnergyData.Info](https://energydata.info/) - An open data platform from the World Bank Group providing access to datasets and data analytics that are relevant to the energy sector.

- [The FfE Open Data Portal](http://opendata.ffe.de/) - Offers an overview of free datasets for modelling energy demand and generation.

- [open-MaStR](https://github.com/OpenEnergyPlatform/open-MaStR) - Download and process German energy data from BNetzA database Marktstammdatenregister.

- [Energy System Technology Data](https://github.com/PyPSA/technology-data) - Compilation of assumptions about energy system technologies such as cost, efficiency and lifetime that can be read by energy system modelling software.

- [GEEST](https://github.com/worldbank/GEEST) - Aims to propose a novel methodology and generate a geospatial open-source tool for mapping the enabling environments for women in a country that can inform new energy projects to support the advancement of women's economic empowerment in small island developing states while contributing to closing gender gaps in employment in the renewable energy sector.

- [Annual Technology Baseline Calculators](https://github.com/NREL/ATB-calc) - To inform electric and transportation sector analysis in the United States, each year NREL provides a robust set of modeling input assumptions for energy technologies and a diverse set of potential electricity generation futures or modeling scenarios.

- [ETLocal](https://github.com/quintel/etlocal) - Countries, provinces, municipalities, districts and neighborhoods have their own unique questions for their energy systems.

- [RE4AFAGRI](https://github.com/iiasa/RE4AFAGRI_platform) - A multi-model framework to analyse deficits, requirements, and optimal solutions for integrated land-water-agriculture-energy-development nexus interlinkages in developing countries.

- [eebus-go](https://github.com/enbility/eebus-go) - Enable your products and services to support the energy management protocol EEBUS, the communication interface that enables energy management relevant devices in buildings to connect and interact with each other and with grid and market operators.

- [ENERGYDATA.INFO](https://github.com/energy-data/energydata.info) - An open data platform created by the World Bank, providing access to datasets and data analytics that are relevant to the energy sector.

- [jao-py](https://github.com/fboerman/jao-py) - Python client for the various endpoints offered by the Joint Allocation Office, Europe's single leading trading platform for cross-border transmission capacity.

- [TUM-EMT Open Data Collection](https://gitlab.lrz.de/energy-management-technologies-public/open-data-collection) - The main aim of this repository is to save the time researchers usually need to explore data and accelerate energy research.

- [MapYourGrid](https://github.com/open-energy-transition/MapYourGrid) - A starter kit for Electrical Transmission Grid Mapping in OpenStreetMap, combining Osmose and Overpass with JOSM.

- [CIMpy](https://github.com/sogno-platform/cimpy) - Support of the Common Grid Model Exchange Standard (CGMES) specified by the European Network of Transmission System Operators for Electricity (ENTSO-E).

- [OpenSynth](https://github.com/OpenSynth-energy/OpenSynth) - Contains 10 million synthetic load profiles of trained on over 300M smart meter readings from 20K Octopus Energy UK households sampled between 2021 and 2022.

- [Weave](https://github.com/centre-for-ai-and-climate/weave) - Provides aggregated half-hourly domestic electricity consumption data from UK smart meters.

- [elexonpy](https://github.com/openclimatefix/Elexonpy) - A Python package that provides a convenient interface to the ELEXON API suite, which provides data published by the UK energy data provider as received.



### Energy Policy



> __What?__ The strategies, decisions, and actions taken by governments to manage, regulate, and guide the production, distribution, and consumption of energy.



> __How?__ These tools help monitor and visualize energy policies and targets, and estimate their efficacy and impact on electrical markets.



- [Energy Policy Simulator](https://github.com/EnergyInnovation/eps-us) - The open-source United States Energy Policy Simulator estimates environmental and economic impacts of hundreds of climate and energy policies.

- [Open Energy Tracker](https://gitlab.com/diw-evu/oet/openenergytracker) - An open data platform for monitoring and visualizing energy policy targets.

- [EMILE](https://github.com/cityssm/EMILE) - An application to aggregate energy consumption data across several municipal assets and report usage to monitor and manage emissions.

- [AMIRIS](https://gitlab.com/dlr-ve/esy/amiris/amiris) - An agent-based simulation of electricity markets and their actors enabling researchers to analyse and evaluate energy policy instruments and their impact on the actors.



### Grid Analysis and Planning



> __What?__ The modelling and planning of electrical grid infrastructure to ensure reliable and efficient delivery of energy for both current and future demands.



> __How?__ These tools help simulate and analyze electricity distribution power systems; support grid planning and management, such as sizing and dispatch of energy; and optimize energy networks.



- [Egret](https://github.com/grid-parity-exchange/Egret) - A Python-based package for electrical grid optimization based on the Pyomo optimization modeling language.

- [eDisGo](https://github.com/openego/eDisGo/) - Optimization of flexibility options and grid expansion for distribution grids based on PyPSA.

- [FlexPlan.jl](https://github.com/Electa-Git/FlexPlan.jl) - An open-source Julia tool for transmission and distribution expansion planning considering storage and demand flexibility.

- [ExaGO](https://github.com/pnnl/ExaGO) - High-performance power grid optimization for stochastic, security-constrained, and multi-period ACOPF problems.

- [DISPATCHES](https://github.com/gmlc-dispatches/dispatches) - Developed and used to identify and optimize Integrated Energy Systems for operation within the bulk power system via energy market signals.

- [EMMA](https://neon.energy/emma/) - A techno-economic model of the north-west European power market covering France, Benelux, Germany and Poland.

- [SimBench](https://github.com/e2nIEE/simbench) - The objective of the research project SimBench is the development of a benchmark dataset to support research in grid planning and operation.

- [GElectrical](https://github.com/manuvarkey/GElectrical) - A free and opensource electrical system analysis software for LV/MV electrical distribution networks.

- [GridPACK](https://github.com/GridOPTICS/GridPACK) - An open-source high-performance package for simulation of large-scale electrical grids.

- [Easy SimAuto](https://github.com/mzy2240/ESA) - An easy-to-use Power System Analysis Automation Platform atop PowerWorld's Simulator Automation Server.

- [SIMONA](https://github.com/ie3-institute/simona) - Provides a simulation toolbox to run and implement large-scale agent-based electricity grid simulations with focus on distribution grids.

- [Power Grid Model](https://github.com/PowerGridModel/power-grid-model) -  A library for steady-state distribution power system analysis distributed for Python and C.

- [ElectricGrid.jl](https://github.com/upb-lea/ElectricGrid.jl) - A time domain electrical energy grid modeling and simulation tool with a focus on the control of power electronics converters.

- [GridLAB-D](https://github.com/arras-energy/gridlabd) - A simulation platform for future electricity distribution power systems.

- [PowerSimData](https://github.com/Breakthrough-Energy/PowerSimData) - Is part of a Python software ecosystem developed by Breakthrough Energy Sciences to carry out power flow study in the U.S. electrical grid.

- [PowerModels.jl](https://github.com/lanl-ansi/PowerModels.jl) - Designed to enable computational evaluation of emerging power network formulations and algorithms in a common platform.

- [PowerModelsAnnex.jl](https://github.com/lanl-ansi/PowerModelsAnnex.jl) - An extension of PowerModels.jl that provides a home for open source sharing of preliminary and/or exploratory methods in power system optimization.

- [Power Grid Lib](https://github.com/power-grid-lib/pglib-opf) - This benchmark library is curated and maintained by the IEEE PES Task Force on Benchmarks for Validation of Emerging Power System Algorithms and is designed to evaluate a well established version of the AC Optimal Power Flow problem.

- [pypownet](https://github.com/MarvinLer/pypownet) - A power network simulator with a Reinforcement Learning-focused usage.

- [Grid2Op](https://github.com/rte-france/Grid2Op) - A testbed platform to model sequential decision making in power systems.

- [RTS-GMLC](https://github.com/GridMod/RTS-GMLC) - Reliability Test System of the Grid Modernization Lab Consortium.

- [OpenDSS](https://sourceforge.net/projects/electricdss/) - An electric power Distribution System Simulator for supporting distributed resource integration and grid modernization efforts.

- [PowerDynamics.jl](https://github.com/JuliaEnergy/PowerDynamics.jl) - Provides all the tools you need to create a dynamic power grid model and analyze it.

- [VeraGrid](https://github.com/SanPen/VeraGrid) - Aims to be a complete platform for power systems research and simulation.

- [Backbone](https://gitlab.vtt.fi/backbone/backbone) - A generic energy network optimization tool written in GAMS.

- [mosaik](https://gitlab.com/mosaik/mosaik) - A flexible Smart Grid co-simulation framework.

- [SmartGridToolbox](https://gitlab.com/SmartGridToolbox/SmartGridToolbox) - Designed to provide an extensible and flexible starting point for developing a wide variety of smart grid simulations and other applications.

- [OSMoGrid](https://github.com/ie3-institute/OSMoGrid) - A java tool to generate life like electrical grid models based on publicly available data, mainly OpenStreetMap and a special focus on low voltage grids.

- [Open Infrastructure Map](https://github.com/openinframap/openinframap) - A view of the world's energy and water infrastructure mapped in the OpenStreetMap database.

- [MicroGridsPy](https://github.com/MicroGridsPy/MicroGridsPy) - Provide an open-source alternative to the problem of sizing and dispatch of energy in micro-grids in isolated places.

- [earth-osm](https://github.com/pypsa-meets-earth/earth-osm) - Provides a Python API and a CLI interface to extract data for various power infrastructure types, such as power lines, substations, and more.

- [HVDC-Wise lib](https://github.com/HVDC-WISE/HVDC-Wise_lib) - Hosts a library of HVDC equipment models for model exchange, based on the IEC CIM/CGMES standard format.

- [Open Modeling Framework](https://github.com/nreca-bts/omf) - A set of Python libraries for simulating power systems behavior with an emphasis on cost-benefit analysis of emerging technologies: distributed generation, storage, networked controls, etc.

- [GridFM](https://github.com/gridfm/gridfm-graphkit) - Train, finetune and interact with a foundation model for the electric power grid.



### Grid Management and Microgrid



> __What?__ The control and coordination of electricity distribution networks, including smaller local systems called microgrids that can operate independently or alongside the primary grid.



> __How?__ These tools help simulate and optimize grid operation and management; coordinate large numbers of microgrids; balance demand and supply; and facilitate secure energy transactions between actors.



- [Open Smart Grid Platform](https://github.com/OSGP/open-smart-grid-platform) - An open, generic, scalable and independent 'Internet of Things' platform, which enables various connected smart objects in the public space to be easily controlled and monitored.

- [openleadr](https://github.com/OpenLEADR/openleadr-python) - Open Automated Demand Response (OpenADR) is an open and interoperable information exchange model and emerging smart grid standard.

- [SEAPATH](https://github.com/seapath/meta-seapath) - Aims at developing a reference design and industrial grade open source real-time platform that can run virtualized automation and protection applications for the power grid industry.

- [InfrastructureSystems.jl](https://github.com/NREL-Sienna/InfrastructureSystems.jl) - Provides utilities to support data models for infrastructure modeling in NREL-SIIP.

- [SciGRID](https://power.scigrid.de/) - Its intention is to develop methods for the automated generation of models (i.e. maps) of existing electricity grids for research and other purposes.

- [GreenForce](https://github.com/Energinet-DataHub/greenforce-frontend) - National energy transmission system operator data hub developing to support change toward decarbonised economies.

- [OperatorFabric](https://github.com/opfab/operatorfabric-core) - A modular, extensible, industrial-strength and field-tested platform for use in electricity, water and other utility operations.

- [energy-sparks](https://github.com/Energy-Sparks/energy-sparks) - An open source application that is designed to help schools improve their energy efficiency.

- [offgridders](https://github.com/rl-institut/offgridders) - Models and optimizes capacity & dispatch of electricity supply systems, off-grid or connected to a (weak) central grid.

- [openmodelica-microgrid-gym](https://github.com/upb-lea/openmodelica-microgrid-gym) - An OpenAI Gym Environment for Microgrids.

- [APIS](https://github.com/SonyCSL/APIS) - Build a microgrid that utilizes variable renewable energy as the main power source and enhances the resilience of the power system.

- [python-microgrid](https://github.com/ahalev/python-microgrid) - A Python library to generate and simulate a large number of microgrids.

- [CLOVER](https://github.com/CLOVER-energy/CLOVER) - A minigrid simulation and optimisation for supporting rural electrification in developing countries.

- [Gym-ANM](https://github.com/robinhenry/gym-anm) - Design Reinforcement Learning environments that model Active Network Management tasks in electricity distribution networks.

- [PowerModelsACDC.jl](https://github.com/Electa-Git/PowerModelsACDC.jl) - A a Julia/JuMP/PowerModels package with models for DC lines, meshed DC networks, and AC DC converters.

- [pyehub](https://gitlab.com/energyincities/python-ehub) - A Python-based, modular and nestable implementation of the Energy Hub model (balancing demand and supply, system capacity sizing and network flows using Mixed-Integer Linear Programming).

- [Electra](https://github.com/Alkia/electra) - Sovereign Blockchain solution that enables local micro-grid to operate smoothly between trustless actors enabling a real circular economy based on the exchange of electricity units.

- [Vessim](https://github.com/dos-group/vessim) - A co-simulation testbed for energy-aware and carbon-aware applications and systems, based on Mosaik.

- [VILLASnode](https://github.com/VILLASframework/node) - Used in distributed- and co-simulation scenarios and developed for the field of power grid simulation at the EON Energy Research Center in Aachen.

- [eELib](https://gitlab.com/elenia1/elenia-energy-library) - A Python-based framework for simulating future power systems for prosumer households, focusing on operating strategies for energy management systems.



### Load and Demand Forecasting



> __What?__ Methods for predicting future electricity needs at particular times to ensure a sufficient power supply and optimize grid efficiency.



> __How?__ These tools help predict future electricity demands and loads on short-term and long-term timescales.



- [tell](https://github.com/IMMM-SFA/tell) - An open-source Python package to model future hourly total electricity loads.

- [load_forecasting](https://github.com/pyaf/load_forecasting) - Load forecasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models.

- [draf](https://github.com/DrafProject/draf) - Analysis and decision support framework for local multi-energy hubs focusing on demand response.

- [OpenSTEF](https://github.com/OpenSTEF/openstef) - A Python package which is used to make short term forecasts for the energy sector.

- [CityLearn](https://github.com/intelligent-environments-lab/CityLearn) - Official reinforcement learning environment for demand response and load shaping.

- [disaggregator](https://github.com/DemandRegioTeam/disaggregator) - A set of tools for processing of spatial and temporal disaggregations of demands of electricity, heat and natural gas.

- [demandlib](https://github.com/oemof/demandlib) - With the demandlib you can create power and heat profiles for various sectors by scaling them to your desired demand.

- [dsgrid](https://github.com/dsgrid/dsgrid) - Enables the compilation of high-resolution load datasets suitable for forward-looking power system and other analyses.

- [MAED](https://github.com/Model-for-Analysis-of-Energy-Demand/MAED-Code) - An open-source tool for forecasting annual useful and final energy demands, featuring a module for intra-annual modelling of hourly electricity load profiles.

- [Electricity Demand Data](https://github.com/open-energy-transition/demandcast) - A Python-based project focused on collecting, processing, and forecasting hourly electricity demand data.



### Global and Regional Energy System Models



> __What?__ Models that represent all major components, flows, and interactions of energy supply, conversion, and consumption across large geographic or jurisdictional boundaries throughout their operational and transition pathways.



> __How?__ These tools help model, simulate, and optimize entire energy systems; predict future scenarios; and analyze transition pathways.



- [PyPSA-Earth](https://github.com/pypsa-meets-earth/pypsa-earth) - An Open Optimisation Model of the Earth Energy System.

- [PyPSA-Eur](https://github.com/PyPSA/pypsa-eur) - A Sector-Coupled Open Optimization Model of the European Transmission System.

- [PyPSA-FES](https://github.com/centrefornetzero/pypsa-fes) - A model that optimises investment and operation, and incorporates flexibility domestic demand flexibility to model scenarios for Great Britain's future energy system.

- [pypsa-usa](https://github.com/PyPSA/pypsa-usa) - An open-source power systems model of the bulk transmission systems in the United States.

- [24/7 CFE](https://github.com/PyPSA/247-cfe) - This project explores the means, costs and impacts of 24/7 Carbon-Free Energy procurement in Europe.

- [TIMES-Ireland Model](https://github.com/MaREI-EPMG/times-ireland-model) - Information on the Irish energy system as it is today and the best available projections for what the future technology and fuel options and demands will be.

- [Euro-Calliope](https://github.com/calliope-project/euro-calliope) - A model of the European electricity system built using Calliope.

- [ReEDS](https://github.com/NREL/ReEDS-2.0) - A capacity planning and dispatch model for the North American electricity system.

- [nempy](https://github.com/UNSW-CEEM/nempy) - Aims to enhance the Australian electricity industries modeling and analytical capabilities.

- [openENTRANCE](https://github.com/openENTRANCE/openentrance) - The Horizon 2020 openENTRANCE project aims at developing, using and disseminating an open, transparent and integrated modeling platform for assessing low-carbon transition pathways in Europe.

- [PyPSA-DE](https://github.com/PyPSA/pypsa-ariadne) - High resolution, sector-coupled model of the German Energy System.

- [OSeMBE_ECEMF](https://github.com/KTH-dESA/OSeMBE_ECEMF) - Contains the energy future scenarios modelled in OSeMBE as part of the ECEMF project, which brings together energy and climate researchers and policy makers to address the central challenge of our time - how to achieve climate neutrality.

- [PyPSA-PL](https://github.com/instrat-pl/pypsa-pl) - An implementation of the energy modelling framework PyPSA shipped with a use-ready dataset tailored for the Polish energy system.

- [PyPSA-GB](https://github.com/andrewlyden/PyPSA-GB) - An open dataset and power dispatch model of the GB transmission network using country-specific data over historical years and for future energy scenarios.

- [osemosys_global](https://github.com/OSeMOSYS/osemosys_global) - An open-source, open-data model generator for creating global energy system models.

- [PyPSA-KZ](https://github.com/pypsa-meets-earth/pypsa-kz-data) - Aims to model the Kazakh power system, incorporating a substantial increase in variable generation, such as solar and wind, surpassing the current official mid-term policy goal of 15% of all renewable energy sources in generation by 2030.



### Renewable Energy Integration



> __What?__ The process of reliably and sustainably incorporating renewable energy sources like solar, wind, and hydropower into the existing energy grid system.



> __How?__ These tools help model power systems with distributed and renewable energy resources; explore sector coupling options; and faciliate the planning and deployment of renewable energy solutions.



- [OPEN](https://github.com/EPGOxford/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.

- [SESMG](https://github.com/SESMG/SESMG) - An energy system model generator with the focus on the optimization of urban energy systems.

- [optihood](https://github.com/SPF-OST/optihood) -  A Python-based framework to optimize the investment in alternative energy technologies as well as the operation of available energy resources for decentralized energy networks on a neighbourhood-scale.

- [HOPP](https://github.com/NREL/HOPP) - Assesses optimal designs for the deployment of utility-scale hybrid energy plants, particularly considering wind, solar and storage.

- [REISE.jl](https://github.com/Breakthrough-Energy/REISE.jl) - Renewable Energy Integration Simulation Engine.

- [PowerGAMA](https://bitbucket.org/harald_g_svendsen/powergama/wiki/Home) - A lightweight simulation tool for high level analyses of renewable energy integration in large power systems.

- [reV](https://github.com/NREL/reV) - Enables the efficient and scalable computation of renewable energy generation, levelized cost of energy, application of geospatial exclusion layers, and generation of renewable energy supply curves.

- [pyGRETA](https://github.com/tum-ens/pyGRETA) - Python Generator of REnewable Time series and mAps: a tool that generates high-resolution potential maps and time series for user-defined regions within the globe.

- [RESKit](https://github.com/FZJ-IEK3-VSA/RESKit) - A toolkit to help generate renewable energy generation time series for energy systems analysis.

- [switch-model](https://github.com/switch-model/switch) - Optimal planning model for power systems with large shares of renewable energy.

- [reVX](https://github.com/NREL/reVX) - Renewable Energy Potential(V) eXchange Toot.

- [dieter_py](https://gitlab.com/diw-evu/dieter_public/dieterpy) - An open source power sector optimization model that has been developed to investigate the role of electricity storage and sector coupling options in future scenarios with high shares of renewable energy sources.

- [REVUB](https://github.com/VUB-HYDR/REVUB) - The main objective is to model how flexible operation of hydropower plants can help renewable electricity mixes with variable solar and wind power to provide reliable electricity supply and load-following services.

- [GlobalEnergyGIS](https://github.com/niclasmattsson/GlobalEnergyGIS) - Generates input data for energy models on renewable energy in arbitrary world regions using public datasets.

- [renewable power plant](https://github.com/Open-Power-System-Data/renewable_power_plants) - Contains scripts to create lists of renewable power plants in Germany, Denmark, France and Poland, and daily time series of cumulated installed capacity per energy source type for Germany.

- [sup3r](https://github.com/NREL/sup3r) - The Super Resolution for Renewable Resource Data software uses generative adversarial networks to create synthetic high-resolution wind and solar spatiotemporal data from coarse low-resolution inputs.

- [atlite](https://github.com/PyPSA/atlite) - Light-weight version of Aarhus RE Atlas for converting weather data to power systems data.

- [REHO](https://github.com/IPESE/REHO) - A decision support tool for sustainable urban energy system planning.

- [REVOL-E-TION](https://github.com/TUMFTM/REVOL-E-TION) - An energy system model toolbox designed to optimize integration of electric vehicle fleets into local energy systems such as mini- and microgrids, company sites, apartment blocks or single homes and estimate the resulting technoeconomic potentials in terms of costs and revenues within th