Collection of Matlab tools belonging to the "Matlab toolbox for simulation, optimization and control of biogas plants"

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

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

A comprehensive Python framework for modeling, simulating, and optimizing agricultural biogas plants based on the Anaerobic Digestion Model No. 1 (ADM1).

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

Réglage Biogaz

A continuing education tool for farm-scale anaerobic digestion

A large-scale integrated dairy and biogas project based on the Danish model, combining milk production, renewable energy generation, and organic fertilizer systems in a circular agro-energy platform.

Machine learning approach for feature selection and uncertainty analysis in wastewater treatment plant biogas production. Explores advanced ML techniques for optimizing renewable energy processes.

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

Sustainable waste-to-biogas platform built with Django. Manages waste collection, accruals, and metered clean cooking gas distribution.

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.

Calibration module for PyADM1ODE repository

Material for the lab course on anaerobic digestion

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.

ML based Biogas Predictive Analysis. Trained by AI Synthetically Verified by Nature

BMP Monitor is a Python/Flask system for real-time monitoring and analysis of bench-scale CSTR biodigesters for BMP assays, with PID control, data storage, gas calculations, and support for simulation or ESP32/Arduino integration.