There are 8 repositories under renewables topic.
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
A set of documented functions for simulating the performance of photovoltaic energy systems.
Dev jobs in the sustainability sector - be part of the solution, not the problem
An upgraded Energy Distribution Card for Home Assistant, with added features like Individual Devices and refined UI enhancements, while maintaining the Energy Dashboard's original design.
Quality control, filtering, feature labeling, and other tools for working with data from photovoltaic energy systems.
A versatile simulation and optimization platform for power-system planning and operations.
Toolkit for working with RADIANCE for the ray-trace modeling of Bifacial Photovoltaics
Data Science in Wind Resource Assessment Tutorial at PyData San Diego, March 2020
Model of the UK power system built with Calliope
Microgrid Transactive Energy Smart Contract
A collection of papers and code on fuel cell techniques and its application in distributed energy systems and mobility.
Formulate human-readable queries and retrieve data from ENTSO-E into pandas.DataFrame format.
Custom component providing information about the UK National Grid power generation
☴ Statistics for your wind power projects
Wattif - Electrical energy policies explorer
Python library & CLI for your Outback/Mate3s solar power system
The python SDK for @Octue services and digital twins.
A community-maintained implementation of the pvfactors bifacial irradiance model
University of Tokyo and WavEC-Offshore Renewables open-source experimental and numerical work on Floating Offshore Wind Turbine
Distribution of Network Losses Between Generator-Load Pairs in Distribution Networks With DG
Data Package: Renewables.ninja Wind and PV Profiles
A novel solar tracker; cheaper, simpler and less power intensive than traditional systems
Solarian Datalogger
Multi-vector dispatch and investment model of the whole energy sector with endogenous representation of energy sources, carriers, storage options and end-use demand possibilities.
The present repository shares the neural network algorithm described in the manuscript: Wind turbine power coefficient models based on neural networks and polynomial fitting. The power coefficient parameter represents the aerodynamic wind turbine efficiency. The MATLAB function can be directly downloaded as well as the polynomial coefficients. The "functionNeuralNetwork" is the code from the MATLAB Function in which a neural network has been trained with three sets of data developed with a blade element momentum algorithm covering a wind turbine range from 2 to 10 MW. The "functionPolynomialFitting" is the code from the MATLAB function similarly fitted as the NN. Both models represent the power coefficient of a wind turbine based on the pitch angle and the tip speed ratio.
Data influx for Aerosense.
Coding 2 final project: Raising Awareness for Blue-Planet https://aoe-dylan.github.io/BluePlanet-Project/
Single-node dispatch and investment model for the power sector
A structured database of Australian renewable energy projects