Data Driven Dynamic Hybrid Renewable Energy (D3HRE) is a software suite to study hybrid renewable energy system on moving platforms. This package enables the simulation, optimisation and management of spatial-temporal hybrid renewable energy system e.g. on ships, airballons and airplanes.
Simulation: D3HRE is able to simulate the hybrid renewable energy system on moving platforms at global scale. For example, the following study shows wind and solar power on a cross Atlantic mission taken by an autonomous surface vehicle.
Optimisation: Simulation based design optimisation is another key function offered in D3HRE. Three build design optimisation approaches: multi-objectives optimisation (NSGA), mixed-objectives optimisation(PSO) and multi-level optimisation (NLOPT) give the best insight for the designer. For researcher it is also easy to extend and plug-in your own optimisation algorithm in the framework.
Management: D3HRE furthur extend its capability in the study of power management system. It models after OpenAI GYM, make it possible to support conventional reactive, predictive and even reinforcement learning approaches at the same time.
pip install D3HRE
Python >= 3
numpy
scipy
pandas
xarray
dask[complete]
netCDF4
ephem
seaborn
gpxpy
requests
pygmo
nvector
visilibity
If you are using D3HRE in your research, please consider cite this software use DOI provided.
