OpenModelica Microgrid Gym (OMG): An OpenAI Gym Environment for Microgrids
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Updated
Jun 13, 2022 - Modelica
OpenModelica Microgrid Gym (OMG): An OpenAI Gym Environment for Microgrids
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.
Resources for the Energy System Modelling course by Tom Brown at Karlsruhe Institute of Technology (2020).
Dynamic electricity carbon emission factors and prices for Europe
Demand Response Analysis Framework (DRAF)
Energy storage, PV(renewable) generation, Grid Optimization
MiGUEL is an open-source, python-based tool to design, simulate and evaluate PV-Diesel hybrid systems. MiGUEL was created during the project EnerSHelF. The main author is Paul Bohn.
Code for adaptive clustering in energy system optimization model.
Transmission capacity expansion model implemented as linear optimization model in Julia using JuMP.
A flexible model structure for creating and analysing multi-regional sector-integrated energy systems with oemof featuring many flexibility options.
Small energy system model for explaining complex energy systems
Project on carbon capture and utilisation with respect to the challenge, "CO2-Waste to Value", organised by ekipa with association with EnBW
Julia framework for energy system models with a focus on multi-period capacity expansion. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021001382
This project is for Energy Systems Analysis 1 course and performs power flow analysis on an electrical grid using various scenarios and constraints.
GeoHeat-GB: A geospatial power systems planning model for heat electrification in Britain
EPLANopt_MAC allows the creation of the Marginal Abatement Cost (MAC) curve based on the EnergyPLAN software and by means of an optimization process
Tessif as it was developed during the lead developer's time at the Hamburg University of Technology
Energy Economical Model has been developed to quantitatively answer the following question for industrial units, "What is the best energy source mix for my facility and operations?"
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