Employed Random Forest Models for modeling catalyst deactivation trends of gases in dry and steam reforming of biogas.

Project on carbon capture and utilisation with respect to the challenge, "CO2-Waste to Value", organised by ekipa with association with EnBW

Flask-based web app using Python and linear regression to predict biogas production from solid food waste. Input waste characteristics for instant sustainability insights.

hello! this is the repostitory of the three musketeers. it has a read me file, a MIT license, and all files have been pushed to the repository. index.html is the file which has the main code of our project. thank you for the opportunity to participate in this hackathon! it was a great experience.

Material for the lab course on anaerobic digestion

This script allows to easily calculate the expected density of a CH4, N2 and CO2 mixture (Biomethane), when loaded in liquid form, using SRK EoS.

Data for 61 semi-structured interviews with biogas owners in Malawi.