Model Library
This page is intended to provide an overview of relevant and suitable models and frameworks for the purpose of the eELib. A few of the listed open-source models have already been integrated, and even more will hopefully follow. If you are missing a model, then do not hesitate to contact us, we are glad to extend this library with as many fitting models as possible.
Warning
This overview gives no guarantee that it is complete nor that all listed models are perfect or even suited for use inside the eELib.
Electric vehicle (EV)
Car model to integrate charging or mobility profiles created with emobpy
PV system and wind power
Battery Energy Storage system
Grid
pandapipes complements pandapower in the simulation of multi energy grids, in particular heat and gas networks
Thermal energy systems
Power demand
Markets
Remark toolbox with implementations on auctions, bidding strategies and various agents (operators, power systems etc.)
MIDAS-mosaik reactive power markets and (bidding) agents
Others
lemlab: agent-based development and testing of local energy market applications
Energy System Simulation and Optimization for BSS, PV, load, heatpump, electricity price, energy management
MIDAS-mosaik weather simulator
Regarding a possible integration into the eELib, other potential models also seem suitable and could be added, respectively, self-developed for integration in the future:
a simple/ generic charging/discharging BSS model
a synthetic EV model generating driving profiles, consumption etc.
a biogas power plant
a PowerFactory model to facilitate grid simulations (warning: not open-source!)
other types of energy management systems: for districts, CTS, energy communities, …
market models for spot market, control power/energy market, local (flexibility) market, aggregator, energy supply company, …
a weather model, either using time series profiles (e.g. in csv files) or using an existing open-source framework
Although the following are not explicitly models, there is a very helful website with different tutorials on python and various packages, like numpy, matplotlib, pandas etc.: Data Science for ESM It covers lots of tools that can be helpful when dealing with models for energy systems and is recommended for everyone from beginners to experts.