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alkalineelectrolyzer

This is an implementation of Ulleberg's Electrolyzer model

chemengdppy

Python code for mechanical design, sizing & capex/opex calculations for chemical plant equipment

coolprop

Thermophysical properties for the masses

coursera_capstone

Coursera_capstone

directreducediron

Contains code for thermodynamic calculations for direct reduced iron using hydrogen.

energywise

An energy analytics tool to make commercial building more energy efficient

fine

The FINE python package provides a framework for modeling, optimizing and assessing energy systems

github-slideshow

A robot powered training repository :robot:

greeniron

Contains python codes for techno-economic analysis of green steel production system using conceptual thermodynamic process modelling

hdri-eaf-technoeconomic-model

The repository contains python codes to model the HDRI-EAF based steelmaking process, which could be used to produce green steel in the future.

hydrogen-direct-reduction-of-iron-ore

Python code to model mass and energy flow through an HDRI-EAF system

lcoh-analysis

Techno-economic analysis of hydrogen production cost in wholesale electricity markets

markdown-portfolio

mcycle

A Python package for 1D sizing and analysis of thermodynamic power cycles

methanepyrolysis

Techno-economic modelling of methane pyrolysis based hydrogen direct reduction of iron ore

modsimpy

Text and supporting code for Modeling and Simulation in Python

oemof_examples

A collection of oemof examples and notebooks.

osemosys

OSeMOSYS - the Open Source Energy Modelling System

pygreta

python Generator of REnewable Time series and mAps

pypsa-eur

PyPSA-Eur: An Open Optimisation Model of the European Transmission System

pytherm-applied-thermodynamics

Educational ipython source code for applied thermodynamics.

riaps-pycom

This is the python implementation of the riaps component model

salib

Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.

short-term-forecasting

Short-term forecasting of electricity generation, demand and prices using machine learning [WIP]

vmls-companions

These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.